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This book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2022), organised by M.Kumarasamy College of Engineering, Chennai, Tamil Nadu, India, during 911 December 2022. The book includes all areas of advanced communications and machine intelligence. The topics covered are network performance analysis, data mining and warehousing, parallel and distributed networks, computational intelligence, smart city applications, big data analytics, Internet of Things networks, information management and wireless sensor networks. The book is useful for academicians, scientists, researchers from industry, research scholars and students working in these areas.
Presents research works in the field of advanced communications and machine intelligence Provides original works presented at MICA 2022 held in Chennai, India Serves as a reference for researchers and practitioners in academia and industry
Auteur
Prof. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft Pty Ltd., a spin-off company of the University, commercialising its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He serving/served as Honorary/Visiting Professor for several elite Universities including Imperial College London (UK), University of Birmingham (UK), University of Hyderabad (India) and Tsinghua University (China). He received B.E. and M.E. in Computer Science and Engineering from Mysore and Bangalore Universities in 1992 and 1995, respectively; and a Doctor of Philosophy (Ph.D.) in Computer Science and Software Engineering from Monash University, Melbourne, Australia, in 2002. He was awarded Dharma Ratnakara Memorial Trust Gold Medal in 1992 for his academic excellence at the University of Mysore, India. He received Richard Merwin Award from the IEEE Computer Society (USA) for excellence in academic achievement and professional efforts in 1999. He received Leadership and Service Excellence Awards from the IEEE/ACM International Conference on High Performance Computing in 2000 and 2003. He received "Research Excellence Awards" from the University of Melbourne for productive and quality research in computer science and software engineering in 2005 and 2008. He acknowledges all researchers and institutions worldwide for their consideration in building on software systems created by his CLOUDS Lab and recognising them through citations and contributing to their further enhancements. With over 122,400 citations, a g-index of 332 and an h-index of 152, he is one of the highly cited authors in computer science and software engineering worldwide. He received the Chris Wallace Award for Outstanding Research Contribution 2008 from the Computing Research and Education Association of Australasia, CORE, which is an association of university departments of computer science in Australia and New Zealand. Dr. Buyya received the "2009 IEEE TCSC Medal for Excellence in Scalable Computing" for pioneering the economic paradigm for utility-oriented distributed computing platforms such as Grids and Clouds. He served as founding Editor-in-Chief (EiC) of IEEE Transactions on Cloud Computing (TCC). Dr. Buyya is recognised as "Web of Science Highly Cited Researcher" for six consecutive years since 2016, Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier and "Lifetime Achievement Awards" from two Indian universities for his outstanding contributions to cloud computing and distributed systems. He has been recognised as the "Best of the World" twice for research fields (in Computing Systems in 2019 and Software Systems in 2021) as well as "Lifetime Achiever" and "Superstar of Research" in "Engineering and Computer Science" discipline twice (2019 and 2021) by the Australian Research Review. Recently, he received "Research Innovation Award" from IEEE Technical Committee on Services Computing and "Research Impact Award" from IEEE Technical Committee on Cloud Computing.
Prof. Sudip Misra is Professor, Fellow of IEEE and Abdul Kalam Technology Innovation National Fellow in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur. He received his Ph.D. degree in Computer Science from Carleton University, in Ottawa, Canada. His current research interests include wireless sensor networks and Internet of Things. Professor Misra has published over 350 scholarly research papers and 12 books. He has won eleven research paper awards in different journals and conferences. He was awarded the IEEE ComSoc Asia Pacific Outstanding Young Researcher Award at IEEE GLOBECOM 2012, California, USA. He was also the
Contenu
A Study on Interval Valued Intuitionistic Fuzzy Oscillatory Region.- Face Mask Detection using Keras/Tensorflow .- Simulation based Comparative Study for Effective Cell Selection in Cellular Networks.- Comparative Analysis of Detection of Network Attacks Using Deep Learning Algorithms.- Multi-criteria Decision-making Problems in an Interval Number Based on TOPSIS method.- Sentiment Analysis of Twitter data by Natural Language Processing and Machine Learning.- A Generalized Fuzzy TOPSIS Technique in Multi-Criteria Decision-Making for Evaluation of Temperature.- UWB FR4-Based CPW-Fed Equilateral Triangular Slot Antenna for CubeSat Communication.- Comparative study of Support Vector Machine based Intrusion Detection System and Convolution Neural Network based Intrusion Detection System.- Association Rules Generation for Injuries in National Football League (NFL).- A Supplier Selection Using Multicriteria Decision Analysis Method Under Probabilistic Approach.- Proactive Public Healthcare Solution Based on Blockchain for Covid-19.- A TOPSIS Technique for Multi-Attribute Group Decision making in Fuzzy Environment.- Design and Implementation of Fuzzy Controller Based DC to DC Converter for PV System.- A Multi-Objective Task Scheduling Approach Using Improved Max-Min algorithm in Cloud Computing. <p