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个人简介
Mahesh Jangid (Senior Member, IEEE) received the Ph.D. degree in deep learning. The objective of his research is to use deep learning approaches in computer vision field and document analysis and recognition. He is currently working as an Associate Professor. He has guided bachelor’s and master’s degree students in the field of deep learning and digital image processing. He has published and presented more 20 research papers in the peer reviewed journals and international conferences. His research interests include machine learning, soft computing, pattern recognition, and image processing. He is actively involved in IEEE activities. Apart from that, he is also an Active Member of various globe societies, such as CSTA-ACM, IEEE-Computer Society, UACEE, and IAENG.
研究兴趣
论文共 43 篇作者统计合作学者相似作者
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International Conference on System Science and Engineeringpp.548-553, (2023)
Soft Computing: Theories and Applicationspp.397-410, (2023)
Lecture notes in networks and systemspp.119-132, (2023)
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2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)pp.1-5, (2023)
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022)
Int. J. Bioinform. Res. Appl.no. 6 (2022): 505-525
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022)
SMART SYSTEMS: INNOVATIONS IN COMPUTING (SSIC 2021) (2022): 21-30
2022 International Conference for Advancement in Technology (ICONAT)pp.1-7, (2022)
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作者统计
#Papers: 42
#Citation: 219
H-Index: 8
G-Index: 13
Sociability: 4
Diversity: 1
Activity: 3
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