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ORCIDYogesh Kumar 0002
Person information
- affiliation: Pandit Deendayal Energy University, Gandhinagar, Gujarat, India
- affiliation (former): Indus University, Department of Computer Engineering, Indus Institute of Technology and Engineering, Ahmedabad, India
- affiliation (former): Chandigarh Group of Colleges, Department of Computer Science and Engineering, Landran, Mohali, India
- affiliation (former): Punjabi University, Patiala, India
Other persons with the same name
- Yogesh Kumar — disambiguation page
- Yogesh Kumar 0001
![[0000-0001-5894-7334]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5894-7334")
(aka: Yogesh Kumar Yadav 0001) — Indian Institute of Technology Jodhpur, Department of Electrical Engineering, India - Yogesh Kumar 0003 — Indian institute of Technology, BHU, Department of Electronics Engineering, India
Other persons with a similar name
- Yogesh Kumar Agarwal
- Yogesh K. Bichpuriya (aka: Yogesh Kumar Bichpuriya)
- Yogesh Kumar Chauhan
- Yogesh Kumar Choukiker
- Yogesh Kumar Dwivedi (aka: Yogesh K. Dwivedi, Yogesh Dwivedi) — Swansea University, UK
- Yogesh Kumar Gupta
- Yogesh Pipada Sunil Kumar
- Yogesh Kumar Meena
- Yogesh Kumar Sharma
- Yogesh Kumar Verma
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2020 – today
- 2024
[j26]Sonam Gandotra, Yogesh Kumar, Nandini Modi, Jaeyoung Choi, Jana Shafi, Muhammad Fazal Ijaz:
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction. Artif. Intell. Rev. 57(8): 220 (2024)- [j25]Pranav Nair, Vinay Vakharia, Milind Shah, Yogesh Kumar, Marcin Wozniak, Jana Shafi, Muhammad Fazal Ijaz:
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. Int. J. Intell. Syst. 2024: 1-18 (2024) - [j24]Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, Hiren Kumar Thakkar:
An automated multi-classification of communicable diseases using ensemble learning for disease surveillance. Int. J. Syst. Assur. Eng. Manag. 15(8): 3737-3756 (2024) - [j23]Yogesh Kumar:
A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects. SN Comput. Sci. 5(1): 137 (2024) - [j22]Jigyasa Chadha, Aarti Jain, Yogesh Kumar, Nandini Modi:
Hybrid Deep Learning Approaches for Human Activity Recognition and Postural Transitions Using Mobile Device Sensors. SN Comput. Sci. 5(7): 925 (2024) - [j21]Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar:
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning. Serv. Oriented Comput. Appl. 18(2): 163-182 (2024) - 2023
- [j20]Nitika Arora, Yogesh Kumar:
Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic review. Evol. Intell. 16(4): 1077-1095 (2023) - [j19]Yogesh Kumar, Apeksha Koul, Ruchi Singla, Muhammad Fazal Ijaz:
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. J. Ambient Intell. Humaniz. Comput. 14(7): 8459-8486 (2023) - [j18]Yogesh Kumar, Apeksha Koul, Chamkaur Singh:
A deep learning approaches in text-to-speech system: a systematic review and recent research perspective. Multim. Tools Appl. 82(10): 15171-15197 (2023) - [j17]Jigyasa Chadha, Aarti Jain, Yogesh Kumar:
Satellite imagery-based Airbus ship localization and detection using deep learning-based approaches. Peer Peer Netw. Appl. 16(3): 1481-1498 (2023) - [j16]Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, Yu-Chen Hu:
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic. SN Comput. Sci. 4(1): 91 (2023) - [c4]Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar:
Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models. IC3I 2023: 374-378 - 2022
- [j15]Sandipan Sahu, Raghvendra Kumar, Mohd Shafi Pathan, Jana Shafi, Yogesh Kumar, Muhammad Fazal Ijaz:
Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System. IEEE Access 10: 42030-42046 (2022) - [j14]Bhumica Dhiman, Yogesh Kumar, Munish Kumar:
Fruit quality evaluation using machine learning techniques: review, motivation and future perspectives. Multim. Tools Appl. 81(12): 16255-16277 (2022) - [j13]Nitika Arora, Yogesh Kumar, Rashmi Karkra, Munish Kumar:
Automatic vehicle detection system in different environment conditions using fast R-CNN. Multim. Tools Appl. 81(13): 18715-18735 (2022) - [j12]Surabhi Kaul, Yogesh Kumar, Uttam Ghosh, Waleed S. Alnumay:
Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review. Multim. Tools Appl. 81(19): 26779-26801 (2022) - [j11]Jigyasa Chadha, Aarti Jain, Yogesh Kumar:
Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area. Multim. Tools Appl. 81(22): 31261-31294 (2022) - [j10]Surbhi Gupta, Yogesh Kumar:
Cancer Prognosis Using Artificial Intelligence-Based Techniques. SN Comput. Sci. 3(1): 77 (2022) - [j9]Yogesh Kumar, Surbhi Gupta, Williamjeet Singh:
A novel deep transfer learning models for recognition of birds sounds in different environment. Soft Comput. 26(3): 1003-1023 (2022) - [j8]Yogesh Kumar, Apeksha Koul, Seema Mahajan:
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent. Soft Comput. 26(17): 8253-8272 (2022) - [j7]Khushboo Bansal, R. K. Bathla, Yogesh Kumar:
Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer. Soft Comput. 26(21): 11153-11184 (2022) - [j6]Yogesh Kumar, Surabhi Kaul, Yu-Chen Hu:
Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey. Sustain. Comput. Informatics Syst. 36: 100780 (2022) - [c3]Simranjit Kaur, Khushboo Bansal, Yogesh Kumar:
Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues. IC3I 2022: 338-343 - [c2]Komalpreet Kaur, Charanjit Singh, Yogesh Kumar:
Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives. IC3I 2022: 888-893 - [c1]Inderpreet Kaur, Amanpreet Kaur Sandhu, Yogesh Kumar:
A Hybrid Deep Transfer Learning Approach For The Detection Of Vector-Borne Diseases. IC3I 2022: 2189-2194 - 2021
- [j5]Yogesh Kumar, Komalpreet Kaur, Sukhpreet Kaur:
Study of automatic text summarization approaches in different languages. Artif. Intell. Rev. 54(8): 5897-5929 (2021) - [j4]Shanky Goyal, Shashi Bhushan, Yogesh Kumar, Abu ul Hassan Sarwar Rana, Muhammad Raheel Bhutta, Muhammad Fazal Ijaz, Youngdoo Son:
An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm. Sensors 21(5): 1583 (2021) - [j3]Aditya Verma, Yogesh Kumar, Rashi Kohli:
Study of AI Techniques in Quality Educations: Challenges and Recent Progress. SN Comput. Sci. 2(4): 238 (2021) - 2020
- [j2]Yogesh Kumar, Nikita Goel:
AI-Based Learning Techniques for Sarcasm Detection of Social Media Tweets: State-of-the-Art Survey. SN Comput. Sci. 1(6): 318 (2020) - [j1]Surabhi Kaul, Yogesh Kumar:
Artificial Intelligence-based Learning Techniques for Diabetes Prediction: Challenges and Systematic Review. SN Comput. Sci. 1(6): 322 (2020)
Coauthor Index
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