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2020 – today
- 2024
[j256]Roohallah Alizadehsani
, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024)- [j255]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024) - [j254]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j253]Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi:
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Syst. Appl. 249: 123717 (2024) - [j252]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - [j251]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine learning meets advanced robotic manipulation. Inf. Fusion 105: 102221 (2024) - [j250]Alireza Hosseinnajad, Navid Mohajer, Saeid Nahavandi:
Barrier Lyapunov Function-based Backstepping Controller Design for Path Tracking of Autonomous Vehicles. J. Intell. Robotic Syst. 110(3): 118 (2024) - [j249]Subhash Chand Yogi, Laxmidhar Behera, Saeid Nahavandi:
Adaptive Intelligent Minimum Parameter Singularity Free Sliding Mode Controller Design for Quadrotor. IEEE Trans Autom. Sci. Eng. 21(2): 1805-1823 (2024) - [j248]Mohammad Reza Chalak Qazani, Behrooz Shirani Bidabadi, Houshyar Asadi, Saeid Nahavandi, Farnoosh Shirani Bidabadi:
Multiobjective Optimization of Roll-Forming Procedure Using NSGA-II and Type-2 Fuzzy Neural Network. IEEE Trans Autom. Sci. Eng. 21(3): 3842-3851 (2024) - [j247]Mohammad Reza Chalak Qazani, Houshyar Asadi, Muhammad Zakarya, Chee Peng Lim, Alan Wee-Chung Liew, Mansour A. Karkoub, Saeid Nahavandi:
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(6): 5112-5121 (2024) - [j246]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, Miadreza Shafie-Khah, João P. S. Catalão:
An Optimized Uncertainty-Aware Training Framework for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6928-6935 (2024) - [j245]Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation. IEEE Trans. Veh. Technol. 73(7): 9696-9705 (2024) - [j244]Lars Kooijman, Houshyar Asadi, Camilo Gonzalez Arango, Shady M. K. Mohamed, Saeid Nahavandi:
Investigating the influence of neck muscle vibration on illusory self-motion in virtual reality. Virtual Real. 28(2): 76 (2024) - [c406]Wadhah Al-Ashwal, Houshyar Asadi, Shehab Alsanwy, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Objective Assessment of Cybersickness in a Stationary Helicopter Simulator Using Pupil Diameter as a Quantitative Indicator. SysCon 2024: 1-7 - [c405]Wadhah Al-Ashwal, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi, Bernhard E. Riecke:
Galvanic Skin Response and AE-LSTM for Anomaly Detection in VR-Induced Motion Sickness. SysCon 2024: 1-7 - [c404]Shehab Alsanwy, Mohammad Reza Chalak Qazani, Wadhah Al-Ashwal, Arian Shajari, Saeid Nahavandi, Houshyar Asadi:
Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles. SysCon 2024: 1-8 - [c403]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi, Chee Peng Lim:
Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data. SysCon 2024: 1-8 - [i58]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i57]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim:
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model. CoRR abs/2408.06350 (2024) - 2023
- [j243]Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023) - [j242]Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - [j241]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware credit card fraud detection using deep learning. Eng. Appl. Artif. Intell. 123(Part A): 106248 (2023) - [j240]Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Syst. Appl. 213(Part): 119087 (2023) - [j239]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90: 364-381 (2023) - [j238]Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi:
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion 97: 101813 (2023) - [j237]Li Zhang, Sam Slade, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi, Haoqian Huang, Hang Ruan:
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks. Knowl. Based Syst. 277: 110828 (2023) - [j236]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j235]Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j234]Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [j233]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction. IEEE Trans. Cogn. Dev. Syst. 15(3): 1102-1122 (2023) - [j232]Dinh Cong Huong, Saeid Nahavandi, Hieu Trinh:
Event-Triggered State and Disturbance Estimation for Lipschitz Nonlinear Systems With Unknown Time-Varying Delays. IEEE Trans. Cybern. 53(12): 7895-7905 (2023) - [j231]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [j230]Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023) - [j229]Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023) - [j228]Anuj Nandanwar, Narendra Kumar Dhar, Laxmidhar Behera, Saeid Nahavandi, Rajesh Sinha:
A Discrete-Time Event-Driven Near-Optimal Second-Order SMC for Multirobotic System Formation Prone to Network Uncertainties. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6354-6367 (2023) - [j227]Houshyar Asadi, Tobias Bellmann, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Trans. Veh. Technol. 72(6): 7024-7034 (2023) - [c402]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [c401]Archit Krishna Kamath, Tanmoy Dam, Heera Lal Maurya, Padmini Singh, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System. ICAR 2023: 425-430 - [c400]Ghazal Rahimzadeh, Darius Nahavandi, Shady M. K. Mohamed, Pawel Plawiak, Saeid Nahavandi, Houshyar Asadi:
Artificial Intelligence-based Motion Sickness Detection: A Survey. ICECS 2023: 1-8 - [c399]Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi:
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels. ICONIP (9) 2023: 313-325 - [c398]Mehedi Hasan, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. SMC 2023: 973-980 - [c397]Sudarshan Mark Samarasinghe, Ahmad Abu Alqumsan, Adetokunbo Arogbonlo, Mohammad Rokonuzzaman, Saeid Nahavandi:
Robust Cooperative Control of a Team of UAVs Carrying a Slung Payload. SMC 2023: 1780-1785 - [c396]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi:
Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model. SMC 2023: 2093-2099 - [c395]Parham M. Kebria, Saeid Nahavandi, Peter Enticott, Fernando Bello:
Haptically-Enabled Robotic Teleoperation for Transcranial Magnetic Stimulation (TeleTMS). SMC 2023: 2100-2105 - [c394]Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle. SMC 2023: 3097-3103 - [c393]Mohammad Hedayati, Navid Mohajer, Mohammad Rokonuzzaman, Saeid Nahavandi:
Robust $H_{\infty}$ Estimation of Sideslip Angle of Vehicles with Fading Measurements. SMC 2023: 3440-3445 - [c392]Mohammad Reza Chalak Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Peng Lim, Saeid Nahavandi:
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. SMC 2023: 3480-3486 - [c391]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A CNN-Based Deep Learning Approach in Anomaly-Based Intrusion Detection Systems. SMC 2023: 3627-3632 - [c390]Afsana Ahmed Munia, Ibrahim Hossain, Seyed Mohammad Jalali, Pegah Tabarisaadi, Ashikur Rahman, Saeid Nahavandi:
Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours. SMC 2023: 4228-4235 - [i56]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - [i55]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i54]Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A novel approach of a deep reinforcement learning based motion cueing algorithm for vehicle driving simulation. CoRR abs/2304.07600 (2023) - [i53]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i52]Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. CoRR abs/2309.02473 (2023) - [i51]Haoxu Zhang, Parham M. Kebria, Shadi Mohamed, Samson Shenglong Yu, Saeid Nahavandi:
A Review on Robot Manipulation Methods in Human-Robot Interactions. CoRR abs/2309.04687 (2023) - [i50]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A Review of Machine Learning-based Security in Cloud Computing. CoRR abs/2309.04911 (2023) - [i49]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine Learning Meets Advanced Robotic Manipulation. CoRR abs/2309.12560 (2023) - 2022
- [j226]Saeid Nahavandi, Shady M. K. Mohamed, Ibrahim Hossain, Darius Nahavandi, Syed Moshfeq Salaken, Mohammad Rokonuzzaman, Rachael Ayoub, Robin Smith:
Autonomous Convoying: A Survey on Current Research and Development. IEEE Access 10: 13663-13683 (2022) - [j225]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
General Forward Kinematics for Tendon-Driven Continuum Robots. IEEE Access 10: 60330-60340 (2022) - [j224]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j223]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine 144: 105357 (2022) - [j222]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - [j221]Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j220]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya:
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54(4): 74:1-74:30 (2022) - [j219]Thanh Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Thien Huynh-The, Saeid Nahavandi, Thanh Tam Nguyen, Quoc-Viet Pham, Cuong M. Nguyen:
Deep learning for deepfakes creation and detection: A survey. Comput. Vis. Image Underst. 223: 103525 (2022) - [j218]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An optimal washout filter for motion platform using neural network and fuzzy logic. Eng. Appl. Artif. Intell. 108: 104564 (2022) - [j217]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j216]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi:
X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Syst. Appl. 201: 116942 (2022) - [j215]Marwan Qaid Mohammed, Kwek Lee Chung, Shing Chyi Chua, Arafat Al-Dhaqm, Saeid Nahavandi, Taiseer Abdalla Elfadil Eisa, Muhammad Fahmi Miskon, Mohammed Nasser Al-Mhiqani, Abdulalem Ali, Mohammed Abaker, Esmail Ali Alandoli:
Review of Learning-Based Robotic Manipulation in Cluttered Environments. Sensors 22(20): 7938 (2022) - [j214]Vibhu Kumar Tripathi, Subhash Chand Yogi, Archit Krishna Kamath, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
A Disturbance Observer-Based Intelligent Finite-Time Sliding Mode Flight Controller Design for an Autonomous Quadrotor. IEEE Syst. J. 16(1): 1649-1660 (2022) - [j213]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mehrdad Rostami, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Syst. J. 16(2): 1945-1953 (2022) - [j212]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69(2): 818-829 (2022) - [j211]Padmini Singh, Anuj Nandanwar, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
Uncertainty Compensator and Fault Estimator-Based Exponential Supertwisting Sliding-Mode Controller for a Mobile Robot. IEEE Trans. Cybern. 52(11): 11963-11976 (2022) - [j210]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Trans. Intell. Transp. Syst. 23(8): 11767-11778 (2022) - [j209]Marwa Ahmed, Ahmed Abobakr, Chee Peng Lim, Saeid Nahavandi:
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning. IEEE Trans. Intell. Transp. Syst. 23(8): 12562-12571 (2022) - [j208]Mohammad Reza Chalak Qazani, Houshyar Asadi, Li Zhang, Farzin Tabarsinezhad, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23268-23277 (2022) - [j207]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
An Optimal Motion Cueing Algorithm Using the Inverse Kinematic Solution of the Hexapod Simulation Platform. IEEE Trans. Intell. Veh. 7(1): 73-82 (2022) - [j206]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 54-65 (2022) - [j205]Vibhu Kumar Tripathi, Archit Krishna Kamath, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
An Adaptive Fast Terminal Sliding-Mode Controller With Power Rate Proportional Reaching Law for Quadrotor Position and Altitude Tracking. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3612-3625 (2022) - [j204]M. Syed Ali, Govindasamy Narayanan, Saeid Nahavandi, Jin-Liang Wang, Jinde Cao:
Global Dissipativity Analysis and Stability Analysis for Fractional-Order Quaternion-Valued Neural Networks With Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4046-4056 (2022) - [j203]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi:
Human-Tailored Data-Driven Control System of Autonomous Vehicles. IEEE Trans. Veh. Technol. 71(3): 2485-2500 (2022) - [c389]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
A survey on Automation Technologies used in Network Control and Management. HSI 2022: 1-6 - [c388]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
5G for Low-latency Human-Robot Collaborations; Challenges and Solutions. HSI 2022: 1-5 - [c387]Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
A Virtual Reality Study Investigating the Effect of Cybersickness on the Relationship Between Vection and Presence Across Environments with Varying Levels of Ecological Relevance. HSI 2022: 1-8 - [c386]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. HSI 2022: 1-6 - [c385]Archit Krishna Kamath, Subhash Chand Yogi, Laxmidhar Behera, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Back-stepping Nonlinear Integral Sliding Mode Control of a Vision Augmented 3 DoF Quadrotor in the presence of System Uncertainties and Bounded Disturbances. ICCA 2022: 541-546 - [c384]Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Mohammed Al-Ashmori, Shady M. K. Mohamed, Darius Nahavandi, Ahmad Abu Alqumsan, Sari Al-Serri, Seyed Mohammad Jalali, Saeid Nahavandi:
Prediction of Vehicle Motion Signals for Motion Simulators Using Long Short-Term Memory Networks. SMC 2022: 34-39 - [c383]Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Automatic Tuning of Adaptive Gradient Descent Based Motion Cueing Algorithm Using Particle Swarm Optimisation. SMC 2022: 85-92 - [c382]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641 - [c381]Lars Kooijman, Saeid Nahavandi, Houshyar Asadi, Shady M. K. Mohamed:
Does A Secondary Task Inhibit Vection in Virtual Reality? SMC 2022: 1057-1064 - [c380]Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Does the Vividness of Imagination Influence Illusory Self-Motion in Virtual Reality? SMC 2022: 1065-1071 - [c379]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Chee Peng Lim, Adetokunbo Arogbonlo, Shehab Alsanwy, Shadi Mohamed, Mehrdad Rostami, Saeid Nahavandi:
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. SMC 2022: 1592-1599 - [c378]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243 - [c377]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA). SMC 2022: 2569-2574 - [c376]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC 2022: 2620-2626 - [c375]Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC 2022: 2820-2826 - [c374]Navid Mohajer, Asher Winter, Timothy Mark Gregory, Darius Nahavandi, Matthew Watson, Saeid Nahavandi:
Experimental Validation of a High-G Centrifuge System using an Advanced Wireless Human Dummy. SMC 2022: 2827-2832 - [c373]Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323 - [c372]Hailing Zhou, Erika Varis Doggett, Keyu Qi, Binghao Tang, Anna M. C. Wolak, Saeid Nahavandi, David T. Nguyen:
Image Saliency Prediction in Novel Production Scenarios. SMC 2022: 3367-3372 - [i48]Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. CoRR abs/2205.03109 (2022) - [i47]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. CoRR abs/2206.04480 (2022) - [i46]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022) - [i45]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. CoRR abs/2212.12808 (2022) - 2021
- [j202]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Model Predictive Control With Learned Vehicle Dynamics for Autonomous Vehicle Path Tracking. IEEE Access 9: 128233-128249 (2021) - [j201]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal uncertainty-guided neural network training. Appl. Soft Comput. 99: 106878 (2021) - [j200]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi:
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. Appl. Soft Comput. 111: 107675 (2021) - [j199]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j198]Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j197]Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135: 104418 (2021) - [j196]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j195]Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - [j194]Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi:
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Comput. Biol. Medicine 139: 104994 (2021) - [j193]Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi:
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. 163: 113788 (2021) - [j192]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - [j191]Khaled Saleh, Ahmed Abobakr, Mohammed Hossny, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Saeid Nahavandi:
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks. Neurocomputing 465: 205-214 (2021) - [j190]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j189]Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak:
Automated detection of shockable ECG signals: A review. Inf. Sci. 571: 580-604 (2021) - [j188]Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi:
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. 577: 353-378 (2021) - [j187]Navid Mohajer, Saeid Nahavandi, Hamid Abdi, Zoran Najdovski:
Enhancing Passenger Comfort in Autonomous Vehicles Through Vehicle Handling Analysis and Optimization. IEEE Intell. Transp. Syst. Mag. 13(3): 156-173 (2021) - [j186]Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. 231: 107419 (2021) - [j185]Ngoc Duy Nguyen, Thanh Thi Nguyen, Peter Vamplew, Richard Dazeley, Saeid Nahavandi:
A Prioritized objective actor-critic method for deep reinforcement learning. Neural Comput. Appl. 33(16): 10335-10349 (2021) - [j184]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays. IEEE Robotics Autom. Lett. 6(4): 8663-8670 (2021) - [j183]Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi:
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors 21(1): 254 (2021) - [j182]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Motion Cueing Algorithm Based on Model Predictive Control Using Terminal Conditions in Urban Driving Scenario. IEEE Syst. J. 15(1): 445-453 (2021) - [j181]Padmini Singh, Pooja Agrawal, Anuj Nandanwar, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi, Mo M. Jamshidi:
Multivariable Event-Triggered Generalized Super-Twisting Controller for Safe Navigation of Nonholonomic Mobile Robot. IEEE Syst. J. 15(1): 454-465 (2021) - [j180]Samson Shenglong Yu, Xinqi Fan, Tat Kei Chau, Hieu Trinh, Saeid Nahavandi:
Square-Root Sigma-Point Filtering Approach to State Estimation for Wind Turbine Generators in Interconnected Energy Systems. IEEE Syst. J. 15(2): 1557-1566 (2021) - [j179]Padmini Singh, Sandeep Gupta, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
Perching of Nano-Quadrotor Using Self-Trigger Finite-Time Second-Order Continuous Control. IEEE Syst. J. 15(4): 4989-4999 (2021) - [j178]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi:
Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3383-3392 (2021) - [j177]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard:
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 595-606 (2021) - [j176]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan:
Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 768-779 (2021) - [j175]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão:
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. IEEE Trans. Ind. Informatics 17(12): 8243-8253 (2021) - [j174]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - [j173]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [j172]Samrat Dutta, Laxmidhar Behera, Saeid Nahavandi:
Skill Learning From Human Demonstrations Using Dynamical Regressive Models for Multitask Applications. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 659-672 (2021) - [j171]Mohammad Reza Chalak Qazani, Houshyar Asadi, Suiyang Khoo, Saeid Nahavandi:
A Linear Time-Varying Model Predictive Control-Based Motion Cueing Algorithm for Hexapod Simulation-Based Motion Platform. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6096-6110 (2021) - [c371]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs. ICM 2021: 1-6 - [c370]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi:
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN 2021: 1-8 - [c369]Marwa Ahmed, Chee Peng Lim, Saeid Nahavandi:
A Deep Q-Network Reinforcement Learning-Based Model for Autonomous Driving. SMC 2021: 739-744 - [c368]Justin Stark, Chee Peng Lim, Saeid Nahavandi:
Design Considerations within Cloud Based System-of-Systems Architecture Framework. SMC 2021: 807-812 - [c367]Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi:
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048 - [c366]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Real-Time Motion Control Tracking Mechanism for Satellite Tracking Antenna Using Serial Robot. SMC 2021: 1049-1055 - [c365]Luke Briese, Timothy Mark Gregory, Navid Mohajer, Matthew Watson, Shady M. K. Mohamed, Saeid Nahavandi:
Evaluation of Design Optimisation Techniques in Structural Framing. SMC 2021: 1093-1098 - [c364]Shehab Alsanwy, Houshyar Asadi, Ahmad Abu Alqumsan, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
The Effects of Different Body Positions on Human Physiological Responses Using Universal Motion Simulator. SMC 2021: 1209-1214 - [c363]Mohammad Rokonuzzaman, Navid Mohajer, Shady M. K. Mohamed, Saeid Nahavandi:
A Customisable Longitudinal Controller of Autonomous Vehicle using Data-driven MPC. SMC 2021: 1367-1373 - [c362]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi:
An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. SMC 2021: 1627-1633 - [c361]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin:
A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC 2021: 1869-1875 - [c360]Archit Krishna Kamath, Subhash Chand Yogi, Laxmidhar Behera, Saeid Nahavandi:
Vision Augmented 3 DoF Quadrotor Control using a Non-singular Fast-terminal Sliding Mode Modified Super-twisting Controller. SMC 2021: 2030-2036 - [c359]Wadhah Al-Ashwal, Houshyar Asadi, Shady M. K. Mohamed, Shehab Alsanwy, Lars Kooijman, Darius Nahavandi, Ahmad Abu Alqumsan, Saeid Nahavandi:
Cybersickness Measurement and Evaluation During Flying a Helicopter in Different Weather Conditions in Virtual Reality. SMC 2021: 2152-2157 - [c358]Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems. SMC 2021: 2485-2491 - [c357]Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System. SMC 2021: 2524-2530 - [c356]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC 2021: 2767-2774 - [c355]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Novel Motion Control Mechanism for Satellite Tracking Antenna Using Fuzzy Logic Control of Serial Robot. SMC 2021: 2787-2793 - [c354]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals. SSCI 2021: 1-6 - [i44]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i43]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i42]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi:
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. CoRR abs/2103.03081 (2021) - [i41]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i40]Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021) - [i39]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - [i38]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR abs/2105.08590 (2021) - [i37]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi:
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR abs/2105.14278 (2021) - [i36]Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
Confidence Aware Neural Networks for Skin Cancer Detection. CoRR abs/2107.09118 (2021) - [i35]Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. CoRR abs/2107.11643 (2021) - [i34]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, João P. S. Catalão:
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. CoRR abs/2107.13508 (2021) - [i33]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR abs/2108.10709 (2021) - [i32]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR abs/2109.01120 (2021) - [i31]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi:
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR abs/2109.05457 (2021) - [i30]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung:
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR abs/2110.03260 (2021) - [i29]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR abs/2110.07097 (2021) - [i28]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface. CoRR abs/2111.12860 (2021) - 2020
- [j170]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
Slack and Excessive Loading Avoidance in n-Tendon Continuum Robots. IEEE Access 8: 138730-138742 (2020) - [j169]Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
Realistic hair simulator for skin lesion images: A novel benchemarking tool. Artif. Intell. Medicine 108: 101933 (2020) - [j168]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi:
Neuroevolution-based autonomous robot navigation: A comparative study. Cogn. Syst. Res. 62: 35-43 (2020) - [j167]Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew, Saeid Nahavandi, Richard Dazeley, Chee Peng Lim:
A multi-objective deep reinforcement learning framework. Eng. Appl. Artif. Intell. 96: 103915 (2020) - [j166]Amin Khatami, Asef Nazari, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging. Expert Syst. Appl. 149: 113196 (2020) - [j165]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi:
Deep imitation learning for autonomous vehicles based on convolutional neural networks. IEEE CAA J. Autom. Sinica 7(1): 82-95 (2020) - [j164]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments. Neurocomputing 386: 317-324 (2020) - [j163]Abel Hailemichael, Syed Moshfeq Salaken, Ali Karimoddini, Abdollah Homaifar, Abbas Khosravi, Saeid Nahavandi:
Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller. J. Intell. Fuzzy Syst. 38(2): 1915-1928 (2020) - [j162]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
An Analytical Tension Model for Continuum Robots with n Generally Positioned Tendons. J. Medical Robotics Res. 4(3-4): 1942003:1-1942003:8 (2020) - [j161]Siamak Pedrammehr, Houshyar Asadi, Saeid Nahavandi:
A Study on Vibrations of Hexarot-Based High-G Centrifugal Simulators. Robotica 38(2): 299-316 (2020) - [j160]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A New Gantry-Tau-Based Mechanism Using Spherical Wrist and Model Predictive Control-Based Motion Cueing Algorithm. Robotica 38(8): 1359-1380 (2020) - [j159]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [j158]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
High-Fidelity Hexarot Simulation-Based Motion Platform Using Fuzzy Incremental Controller and Model Predictive Control-Based Motion Cueing Algorithm. IEEE Syst. J. 14(4): 5073-5083 (2020) - [j157]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [j156]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani:
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. 50(7): 3243-3253 (2020) - [j155]Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications. IEEE Trans. Cybern. 50(9): 3826-3839 (2020) - [j154]Parham Mohsenzadeh Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello:
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Fuzzy Syst. 28(10): 2543-2554 (2020) - [j153]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users. IEEE Trans. Intell. Transp. Syst. 21(8): 3398-3408 (2020) - [j152]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Prepositioning of a Land Vehicle Simulation-Based Motion Platform Using Fuzzy Logic and Neural Network. IEEE Trans. Veh. Technol. 69(10): 10446-10456 (2020) - [j151]Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints' Limitations. IEEE Trans. Veh. Technol. 69(11): 12547-12558 (2020) - [c353]Mohammad Reza Chalak Qazani, Seyed Mohammad Jafar Jalali, Houshyar Asadi, Saeid Nahavandi:
Optimising Control and Prediction Horizons of a Model Predictive Control-Based Motion Cueing Algorithm Using Butterfly Optimization Algorithm. CEC 2020: 1-8 - [c352]Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Siamak Pedrammehr, Shady M. K. Mohamed, Saeid Nahavandi:
A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform. FUZZ-IEEE 2020: 1-8 - [c351]Parham M. Kebria, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Fernando Bello:
Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions. ICHMS 2020: 1-6 - [c350]Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi:
Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) 2020: 147-155 - [c349]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. ICONIP (3) 2020: 197-207 - [c348]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi:
Uncertainty Quantification Neural Network from Similarity and Sensitivity. IJCNN 2020: 1-8 - [c347]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. IJCNN 2020: 1-7 - [c346]Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba:
Convolutional Neural Network for Medical Image Classification using Wavelet Features. IJCNN 2020: 1-8 - [c345]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images. SMC 2020: 1584-1589 - [c344]Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912 - [c343]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Learning-based Model Predictive Control for Path Tracking Control of Autonomous Vehicle. SMC 2020: 2913-2918 - [c342]Parham M. Kebria, Darius Nahavandi, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Conor McGinn:
Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays. SMC 2020: 2919-2924 - [c341]Navid Mohajer, Mohammad Rokonuzzaman, Darius Nahavandi, Syed Moshfeq Salaken, Zoran Najdovski, Saeid Nahavandi:
Effects of Road Path Profiles on Autonomous Vehicles' Handling Behaviour. SysCon 2020: 1-6 - [i27]Shiqi Zheng, Peng Shi, Saeid Nahavandi:
Finite time stabilization for nonlinear systems with unstructured uncertainties. CoRR abs/2001.11200 (2020) - [i26]Ngoc Duy Nguyen, Thanh Thi Nguyen, Saeid Nahavandi:
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning. CoRR abs/2002.11882 (2020) - [i25]Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Saeid Nahavandi:
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework. CoRR abs/2002.11883 (2020) - [i24]Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR abs/2006.16344 (2020) - [i23]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i22]Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - [i21]Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. CoRR abs/2007.03347 (2020) - [i20]Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i19]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR abs/2007.14846 (2020) - [i18]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i17]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020) - [i16]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
2010 – 2019
- 2019
- [j150]Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi:
A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access 7: 85755-85770 (2019) - [j149]Afsaneh Koohestani, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mahereh Koohestani:
Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. IEEE Access 7: 98971-98992 (2019) - [j148]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j147]Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture. Comput. Methods Programs Biomed. 177: 17-30 (2019) - [j146]Yonghang Tai, Lei Wei, Hailing Zhou, Qiong Li, Xiaoqiao Huang, Junsheng Shi, Saeid Nahavandi:
Machine learning-based haptic-enabled surgical navigation with security awareness. Concurr. Comput. Pract. Exp. 31(19) (2019) - [j145]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Seeded transfer learning for regression problems with deep learning. Expert Syst. Appl. 115: 565-577 (2019) - [j144]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi:
Multi-agent behavioral control system using deep reinforcement learning. Neurocomputing 359: 58-68 (2019) - [j143]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
A scalarization-based dominance evolutionary algorithm for many-objective optimization. Inf. Sci. 474: 236-252 (2019) - [j142]Choo Jun Tan, Siew Chin Neoh, Chee Peng Lim, Samer Hanoun, Wai Peng Wong, Chu Kong Loo, Li Zhang, Saeid Nahavandi:
Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. J. Intell. Manuf. 30(2): 879-890 (2019) - [j141]Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Rodney G. Roberts:
Observer-Based $\mathcal{H}_{\infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults. IEEE Syst. J. 13(2): 1981-1990 (2019) - [j140]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. IEEE Syst. J. 13(3): 3590-3603 (2019) - [j139]Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Multiobjective and Interactive Genetic Algorithms for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. IEEE Trans. Cybern. 49(9): 3471-3481 (2019) - [j138]Parham M. Kebria, Hamid Abdi, Mohsen Moradi Dalvand, Abbas Khosravi, Saeid Nahavandi:
Control Methods for Internet-Based Teleoperation Systems: A Review. IEEE Trans. Hum. Mach. Syst. 49(1): 32-46 (2019) - [j137]Hieu Trinh, Dinh Cong Huong, Saeid Nahavandi:
Observer design for positive fractional-order interconnected time-delay systems. Trans. Inst. Meas. Control 41(2): 378-391 (2019) - [j136]Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter. IEEE Trans. Intell. Veh. 4(2): 298-308 (2019) - [j135]Lei Wei, Hailing Zhou, Saeid Nahavandi:
Haptically enabled simulation system for firearm shooting training. Virtual Real. 23(3): 217-228 (2019) - [c340]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties. CASE 2019: 1625-1630 - [c339]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties. CASE 2019: 1631-1636 - [c338]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems. CloudCom 2019: 320-325 - [c337]Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Probability Density Computation Neural Network for Time Series Data. CloudCom 2019: 341-346 - [c336]Syed Moshfeq Salaken, Saeid Nahavandi, Conor McGinn, Mohammed Hossny, Kevin Kelly, Ahmed Abobakr, Darius Nahavandi, Julie Iskander:
Development of a Cloud-based Computational Framework for an Empathetic Robot. ICCAE 2019: 102-108 - [c335]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi:
NMPC-based Controller for Autonomous Vehicles Considering Handling Performance. ICCMA 2019: 266-270 - [c334]Navid Mohajer, Zoran Najdovski, Saeid Nahavandi:
Design and Development of a Low-Cost High-G Centrifuge System (Cyclone). ICCMA 2019: 305-309 - [c333]Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. ICCV Workshops 2019: 3235-3242 - [c332]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Decoupled Linear Model Predictive Control-based Motion Cueing Algorithm for Simulation-based Motion Platform with Limitted Workspace. ICIT 2019: 35-41 - [c331]Siamak Pedrammehr, Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
Control System Development of a Hexarot-Based High-G Centrifugal Simulator. ICIT 2019: 78-83 - [c330]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Abdollah Homaifar, Mehrdad Saif:
Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay. ICIT 2019: 108-113 - [c329]Siamak Pedrammehr, Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
Kinematic Manipulability Analysis of Hexarot Simulators. ICIT 2019: 133-138 - [c328]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, David Watters, Glenn Guest, Peng Shi:
Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties. ICIT 2019: 187-192 - [c327]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Suren Krishnan:
Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication. ICIT 2019: 193-198 - [c326]Siamak Pedrammehr, Houshyar Asadi, Saeid Nahavandi:
The Forced Vibration Analysis of Hexarot Parallel Mechanisms. ICIT 2019: 199-204 - [c325]Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
A Cloud Bidding Framework for Deadline Constrained Jobs. ICIT 2019: 765-772 - [c324]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi:
Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT 2019: 800-805 - [c323]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator. ICIT 2019: 859-864 - [c322]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - [c321]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
Probability Density for Amazon Spot Instance Price. ICIT 2019: 887-892 - [c320]Thanh Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. ICIT 2019: 1339-1344 - [c319]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Multi-Agent Deep Reinforcement Learning with Human Strategies. ICIT 2019: 1357-1362 - [c318]Arash Mohammadi, Shady M. K. Mohamed, Houshyar Asadi, Saeid Nahavandi:
Stabilizing Model Predictive Control with Optimized Terminal Sample Weight for Motion Cueing Algorithm. ICIT 2019: 1363-1368 - [c317]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) 2019: 596-607 - [c316]Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator. ICONIP (1) 2019: 621-632 - [c315]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. ICRA 2019: 9704-9710 - [c314]Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Mostafa Hossny, Saeid Nahavandi:
Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles. ITSC 2019: 2020-2026 - [c313]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Model Predictive Control-Based Motion Cueing Algorithm with Consideration of Joints' limitations for Hexapod Motion Platform. SMC 2019: 708-713 - [c312]Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi:
Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution. SMC 2019: 1215-1220 - [c311]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi:
Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm. SMC 2019: 1221-1226 - [c310]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. SMC 2019: 1234-1238 - [c309]Marwa Ahmed, Khaled Saleh, Ahmed Abobakr, Saeid Nahavandi:
Scenario Generation-Based Training in Simulation: Pilot Study. SMC 2019: 1239-1244 - [c308]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. SMC 2019: 1245-1250 - [c307]Julie Iskander, Ahmed Abobakr, Mohammed Hassan Attia, Khaled Saleh, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics. SMC 2019: 1844-1848 - [c306]Julie Iskander, Mohammed Hassan Attia, Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Exploring the Effect of Virtual Depth on Pupil Diameter. SMC 2019: 1849-1854 - [c305]Mohammed Hassan Attia, MennattAllah H. Attia, Julie Iskander, Khaled Saleh, Darius Nahavandi, Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Fingerprint Synthesis Via Latent Space Representation. SMC 2019: 1855-1861 - [c304]Ahmed Abobakr, Hala Abdelkader, Julie Iskander, Darius Nahavandi, Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi:
SSDPose: A Single Shot Deep Pose Estimation and Analysis. SMC 2019: 1862-1868 - [c303]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi:
Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. SMC 2019: 2089-2096 - [c302]Mohammed Hassan Attia, Ahmed Abobakr, Lei Wei, Khaled Saleh, Julie Iskander, H. Zhou, Darius Nahavandi, Mostafa Hossny, Saeid Nahavandi:
High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks. SMC 2019: 2391-2396 - [c301]Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi:
A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks. SMC 2019: 3492-3497 - [c300]Seyed Mohammad Jafar Jalali, Mina Karimi, Abbas Khosravi, Saeid Nahavandi:
An efficient Neuroevolution Approach for Heart Disease Detection. SMC 2019: 3771-3776 - [c299]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization. SysCon 2019: 1-5 - [c298]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. SysCon 2019: 1-7 - [i15]Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. CoRR abs/1901.03327 (2019) - [i14]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. CoRR abs/1902.05183 (2019) - [i13]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Hamed Asadi:
Realistic Hair Simulation Using Image Blending. CoRR abs/1904.09169 (2019) - [i12]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. CoRR abs/1904.09862 (2019) - [i11]Thanh Thi Nguyen, Cuong M. Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Saeid Nahavandi:
Deep Learning for Deepfakes Creation and Detection. CoRR abs/1909.11573 (2019) - [i10]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal Uncertainty-guided Neural Network Training. CoRR abs/1912.12761 (2019) - 2018
- [j134]Julie Iskander, Mohammed Hossny, Saeid Nahavandi:
A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality. IEEE Access 6: 19345-19361 (2018) - [j133]Thanh Nguyen, Imali Hettiarachchi, Amin Khatami, Lee Gordon-Brown, Chee Peng Lim, Saeid Nahavandi:
Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System. IEEE Access 6: 27873-27884 (2018) - [j132]Mohsen Moradi Dalvand, Saeid Nahavandi, Michael Fielding, James Mullins, Zoran Najdovski, Robert D. Howe:
Modular Instrument for a Haptically-Enabled Robotic Surgical System (HeroSurg). IEEE Access 6: 31974-31982 (2018) - [j131]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. IEEE Access 6: 36218-36234 (2018) - [j130]Yonghang Tai, Lei Wei, Minhui Xiao, Hailing Zhou, Qiong Li, Junsheng Shi, Saeid Nahavandi:
A High-Immersive Medical Training Platform Using Direct Intraoperative Data. IEEE Access 6: 69438-69452 (2018) - [j129]Anisia Jati Sang, Kai Meng Tay, Chee Peng Lim, Saeid Nahavandi:
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives. IEEE Access 6: 74628-74647 (2018) - [j128]Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi:
Parallel deep solutions for image retrieval from imbalanced medical imaging archives. Appl. Soft Comput. 63: 197-205 (2018) - [j127]Yange Sun, Zhihai Wang, Yang Bai, Honghua Dai, Saeid Nahavandi:
A Classifier Graph Based Recurring Concept Detection and Prediction Approach. Comput. Intell. Neurosci. 2018: 4276291:1-4276291:13 (2018) - [j126]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface. Comput. Intell. Neurosci. 2018: 6323414:1-6323414:12 (2018) - [j125]Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi:
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [j124]Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm. Expert Syst. Appl. 92: 73-81 (2018) - [j123]Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Syst. Appl. 100: 224-233 (2018) - [j122]Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Ju H. Park:
Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings. J. Frankl. Inst. 355(13): 5736-5758 (2018) - [j121]Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Shanmugam Lakshmanan:
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. 232(8): 1025-1038 (2018) - [j120]Siamak Pedrammehr, Behzad Danaei, Hamid Abdi, Mehdi Tale Masouleh, Saeid Nahavandi:
Dynamic analysis of Hexarot: axis-symmetric parallel manipulator. Robotica 36(2): 225-240 (2018) - [j119]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. Sensors 18(6): 1913 (2018) - [j118]Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Gary Carroll:
Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments. IEEE Syst. J. 12(1): 173-183 (2018) - [j117]Zhiqiang Cao, Nong Gu, Jile Jiao, Saeid Nahavandi, Chao Zhou, Min Tan:
A Novel Geometric Transportation Approach for Multiple Mobile Manipulators in Unknown Environments. IEEE Syst. J. 12(2): 1447-1455 (2018) - [j116]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
A Skeleton-Free Fall Detection System From Depth Images Using Random Decision Forest. IEEE Syst. J. 12(3): 2994-3005 (2018) - [j115]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Ju H. Park:
Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays. IEEE Trans. Cybern. 48(7): 2036-2048 (2018) - [j114]Hailing Zhou, Lei Wei, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning. IEEE Trans. Geosci. Remote. Sens. 56(12): 7074-7085 (2018) - [j113]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks. IEEE Trans. Intell. Veh. 3(4): 414-424 (2018) - [j112]Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi:
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 29(1): 195-207 (2018) - [j111]Lei Wei, Hailing Zhou, Saeid Nahavandi:
Haptic Collision Detection on Disjoint Objects with Overlapping and Inclusive Bounding Volumes. IEEE Trans. Haptics 11(1): 73-84 (2018) - [j110]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
An Analytical Loading Model for n-Tendon Continuum Robots. IEEE Trans. Robotics 34(5): 1215-1225 (2018) - [j109]Saba Al-Wais, Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi:
Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2470-2484 (2018) - [c297]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. Australasian Conference on Artificial Intelligence 2018: 284-295 - [c296]Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. BMVC 2018: 301 - [c295]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Zoran Najdovski, Stephen John Hilton:
Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay. CASE 2018: 252-257 - [c294]Ahmed Abobakr, Mohammed Hossny, Hala Abdelkader, Saeid Nahavandi:
RGB-D Fall Detection via Deep Residual Convolutional LSTM Networks. DICTA 2018: 1-7 - [c293]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator. DICTA 2018: 1-6 - [c292]