Machine Intelligence and Smart Systems
Springer Verlag, Singapore
978-981-16-9649-7 (ISBN)
Dr. Shikha Agrawal is Director, Training and Placement at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (Madhya Pradesh), India and Associate Professor in the Department of Computer Science and Engineering at University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (Madhya Pradesh), India. She obtained B.E., M.Tech. and Ph.D. in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. She has more than seventeen years of teaching experience. Her area of interest is swarm intelligence, artificial intelligence, soft computing image processing, data mining and particle swarm optimization. She has published more than 50 research papers in different reputed international journals, 04 patents filed, 12 chapters and two books. For her outstanding research work in Information technology, she has been awarded as “Young Scientist” by Madhya Pradesh Council of Science and Technology, Bhopal (2012). Her other extraordinary achievements include “CII SIS-Tech GURU” Award in 2017 by Confederation of Indian Industry, “Distinguished Assistant Professor” in 2017 by Computer Society of India, “Best Paper Presenter at International Conference” Award under CSI Academic Award (2017) , “Best Faculty–Published Research” by Computer Society of India (2018), “Best Faculty–Funded Research” by Computer Society of India (2019), “ICT Rising Star of the Year Award 2015” in International Conference on Information and Communication Technology for Sustainable Development (ICT4SD—2015), Ahmedabad, India, and Young ICON Award 2015 in Educational category by Dainik National News Paper Patrika, Bhopal, India. She has been elected as IEEE Senior member and Madhya Pradesh Student Chapter Coordinator of Computer Society of India. She is also a member of various academic societies such as IEEE Computational Intelligence Society, Indian Society of Technical Education (ISTE), Computer Society of India (CSI), ACM, Computer Science Teachers Association (CSTA), Machine Intelligence Research Labs (MIR Labs). She has participated in numerous (more than 15) conference presentations (including invited and peer-reviewed oral presentations and panel discussions) and chaired technical sessions in various international conferences and also served as a member of reviewer committee of International Journal of Computer Science and Information Security, USA, and many international conferences of IEEE, Springer etc. Dr. Kamlesh Kumar Gupta is Principal in Rustamji Institute of Technology (RJIT), BSF Academy, Tekanpur, Madhya Pradesh, India. He completed B.E., M.Tech, and Ph.D. in Computer Science and Engineering from RGPV Bhopal, Madhya Pradesh, India. He has published more than 40 research papers in various journals and conferences. He organized an international conference on emerging trends of computer science and its applications in RJIT. Also, he organized various training course on computer literacy in Border Security Force Academy, Tekanpur (MHA). He also guided 07 Ph.D. in various universities like RGPV, Uttrakhand Technical University, Amity University, Gwalior. He is guiding 10 M.Tech. thesis. He is a member of CSI, IETE, and member in BOG of RGPV University, Bhopal. Dr. Jonathan H. Chan is Associate Professor of Computer Science at the School of Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. He holds a B.A.Sc., M.A.Sc. and Ph.D. degrees from the University of Toronto and is currently a visiting professor there until the end of 2019; he was also a visiting scientist at The Centre for Applied Genomics at Sick Kids Hospital in Toronto in several occasions. He is Section Editor of Heliyon Computer Science (Cell Press), Action Editor of Neural Networks (Elsevier) and a member of the editorial board of International Journal of Machine Intelligence and Sensory Signal Processing (Inderscience), InternationalJournal of Swarm Intelligence (Inderscience), and Proceedings in Adaptation, Learning and Optimization (Springer). Also, he is a reviewer for a number of refereed international journals including Information Sciences, Applied Soft Computing, Neurocomputing, Neural Computation and Applications, BMC Bioinformatics, and Memetic Computing. He has also served on the program, technical and/or advisory committees for numerous major international conferences. He is Past President of the Asia Pacific Neural Network Assembly (APNNA) and current Governing Board Member of the Asia Pacific Neural Network Society (APNNS). In addition, he is a founding member and a current VP of the IEEE-CIS Thailand Chapter. He is a senior member of IEEE, ACM and INNS and a member of the Professional Engineers of Ontario (PEO). His research interests include intelligent systems, cognitive computing, biomedical informatics, and data science and machine learning in general. Dr. Jitendra Agrawal was born in 1974 and is Associate Professor in School of Information Technology at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Madhya Pradesh, India. He is Teacher, Researcher and Consultant in the field of Computer Science and Information Technology. He earned his master degree from Samrat Ashok Technology Institute, Vidisha (Madhya Pradesh) in 1997 and was awarded Doctor of Philosophy in Computer and Information Technology in 2012. His research interests include database, data structure, data mining, soft computing and computational intelligence. He has published more than 50 publications in international journals and conferences. He is the recipient of the Best Professor in Information Technology Award by the World Education Congress in 2013. He has participated in many workshops/seminars/staff development programmes (SDP) organized at national and international levels as resource person, keynote speaker, session chairman, moderator, panelist, etc. He has delivered over 10 invited talks, keynote addresses at different academic forums on various emerging issues in the field of information technology and innovations in teaching learning systems. He is a senior member of the IEEE (USA), life member of Computer Society of India (CSI), life member of Indian Society of Technical Education (ISTE), member of Youth Hostel Association of India (YHAI) and IAENG. He has been associated with the International Program Committees and Organizing Committees of several regular international conferences held in different countries like USA, India, New Zealand, Korea, Indonesia, Tunisia, Thailand, Morocco, etc. He regularly serves as reviewer for international journals and conferences, including IEEE, Elsevier and Inderscience etc. Manish Gupta is Assistant Professor in Computer Science and Engineering in Vikrant Institute of Technology and Management, Gwalior, Madhya Pradesh, India. He has done B.E. from MITS Gwalior, Madhya Pradesh, India, and M.Tech from ABV-IIITM Gwalior, Madhya Pradesh, India. He is also pursuing Ph.D. from RGPV Bhopal, Madhya Pradesh, India. He is 4-times GATE and 02-times NET qualified. He has published more than 25 research papers in various journals, IEEE conferences, Springer conferences. He has organized 02 IEEE special sessions and 01 Springer special sessions. He is also editorial board member of various organizations and journals. He has published two books. He has been awarded 06 M.Tech. thesis. He is currently working on a Central Government Project “Unnat Bharat Abhiyan” sanctioned by the Government of India. He is also working on a research project on “A new GUI based image cryptography using random key for IoT” sanctioned by RGPV university Bhopal, Madhya Pradesh, India under TEQIP-III. He has completed a project on “Cyber Security and Digital India Awareness Program for Rural Area” sanctioned by Madhya Pradesh Council of Science and Technology Bhopal, Madhya Pradesh, India.
Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited.- Deep Learning Implementation for Dark Matter Particle Detection.- Augmentation of Handwritten Devanagari Character Dataset Using DCGAN.- Deep Reinforcement Learning for Optimal Traffic Control.- Ensemble Semi-Supervised Machine Learning Algorithm for Classifying Complaint Tweets.- Underwater Image Enhancement Using Fusion Stretch Method.- A Novel Approach for Semantic Microservices Description and Discovery towards Smarter Applications.
| Erscheinungsdatum | 30.05.2022 |
|---|---|
| Reihe/Serie | Algorithms for Intelligent Systems |
| Zusatzinfo | 212 Illustrations, color; 72 Illustrations, black and white; XIII, 562 p. 284 illus., 212 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Artificial Neural Network • Biological Computing • Computational Intelligence • Deep learning • evolutionary computation • Fuzzy Logic • machine learning • MISS 2021 • MISS Proceedings • Soft Computing • Swarm Intelligence Techniques |
| ISBN-10 | 981-16-9649-7 / 9811696497 |
| ISBN-13 | 978-981-16-9649-7 / 9789811696497 |
| Zustand | Neuware |
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