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ORCIDTulika Chakrabarti
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2020 – today
- 2025
[j15]P. Rajendra Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Bhuvan Unhelkar, Martin Margala:
Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model. Biomed. Signal Process. Control. 100: 107070 (2025)- 2024
- [j14]Sudheer Mangalampalli
, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, Varada Rajkumar Kukkala, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala:
Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing. IEEE Access 12: 5373-5392 (2024) - [j13]Jeetendra Kumar, Rashmi Gupta, Suvarna Sharma, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala:
IoT-Enabled Advanced Water Quality Monitoring System for Pond Management and Environmental Conservation. IEEE Access 12: 58156-58167 (2024) - [j12]Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, Varada Rajkumar Kukkala, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala:
Corrections to "Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing". IEEE Access 12: 162730 (2024) - [j11]S. Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy Ch, Kiran Sree Pokkuluri, Prasun Chakrabarti, Tulika Chakrabarti:
An Energy and Temperature Aware Deep Reinforcement Learning Workflow Scheduler in Cloud Computing. IEEE Access 12: 163424-163443 (2024) - [j10]S. Siva Shankar, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Gayatri Parasa:
A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system. Educ. Inf. Technol. 29(4): 3859-3883 (2024) - [j9]K. Muralidhar, S. Siva Shankar, Bhuvan Unhelkar, Tulika Chakrabarti, Prasun Chakrabarti:
Intelligent computational offloading for mobile-edge server computing and hybrid optimal resource allocation. Multim. Tools Appl. 83(27): 69947-69972 (2024) - 2023
- [j8]Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali, Mohammad Nami:
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. Brain Informatics 10(1): 17 (2023) - [j7]Gaurav Kumawat, Santosh Kumar Vishwakarma, Prasun Chakrabarti, Pankaj Chittora, Tulika Chakrabarti, Jerry Chun-Wei Lin:
Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques. J. Circuits Syst. Comput. 32(1): 2350019:1-2350019:24 (2023) - [j6]Prasanalakshmi Balaji, Bui Thanh Hung, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Rajanikanth Aluvalu:
A novel artificial intelligence-based predictive analytics technique to detect skin cancer. PeerJ Comput. Sci. 9: e1387 (2023) - [j5]Sudheer Mangalampalli, Sangram Keshari Swain, Tulika Chakrabarti, Prasun Chakrabarti, Ganesh Reddy Karri, Martin Margala, Bhuvan Unhelkar, Sivaneasan Bala Krishnan:
Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization. Sensors 23(13): 6155 (2023) - [j4]Sudheer Mangalampalli, Ganesh Reddy Karri, Amit Gupta, Tulika Chakrabarti, Sri Hari Nallamala, Prasun Chakrabarti, Bhuvan Unhelkar, Martin Margala:
Fault-Tolerant Trust-Based Task Scheduling Algorithm Using Harris Hawks Optimization in Cloud Computing. Sensors 23(18): 8009 (2023) - 2022
- [j3]Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski:
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. IEEE Access 10: 17920-17932 (2022) - 2021
- [j2]Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Lukasz Jasinski, Radomír Gono, Elzbieta Jasinska, Vadim Bolshev:
Prediction of Chronic Kidney Disease - A Machine Learning Perspective. IEEE Access 9: 17312-17334 (2021) - [j1]Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin:
Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. IEEE Access 9: 102041-102052 (2021)
2010 – 2019
- 2019
- [c1]Prasun Chakrabarti, Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, Narendra S. Chaudhuri, Pierluigi Siano:
Business Forecasting in the Light of Statistical Approaches and Machine Learning Classifiers. ICACDS (1) 2019: 13-21
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