Machine Intelligence and Smart Systems

TRAMA

This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.

SOMMARIO

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.

AUTORE

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, arti?cial 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 ?led, 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 Paci?c Neural Network Assembly (APNNA) and current Governing Board Member of the Asia Paci?c 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 ge

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789811696527
• Collana: Algorithms for Intelligent Systems
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XIII, 562 p. 284 illus., 212 illus. in color.
• Pagine Arabe: 562
• Pagine Romane: xiii