Machine Learning and Autonomous Systems: Proceedings of ICMLAS 2021 by Joy Iong-

Description: Machine Learning and Autonomous Systems by Joy Iong-Zong Chen, Haoxiang Wang, Ke-Lin Du, V. Suma Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. Publisher Description This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries. Author Biography Dr. Joy Iong-Zong Chen is currently a full professor of Department of Electrical Engineering Dayeh University at Changhua, Taiwan. Prior to joining the Dayeh University, he worked at the Control Data Company (Taiwan) as a technical manager since September 1985 to September 1996. His research interests include wireless communications, spread spectrum technical, OFDM systems, and wireless sensor networks. He has published a large number of SCI Journal papers in the issues addressed physical layer for wireless communication systems. Moreover, he also majors in developing some applications of the Internet of Thing (IoT) techniques, and Dr. Joy I.-Z. Chen owned some patents authorized by the Taiwan Intellectual Property Office (TIPO).Haoxiang Wang is currently the director and lead executive faculty member of GoPerception Laboratory, NY, USA. His research interests include multimedia information processing, pattern recognition and machine learning, remote sensing image processingand data-driven business intelligence. He has co-authored over 60 journal and conference papers in these fields on journals such as Springer MTAP, Cluster Computing, SIVP; IEEE TII, Communications Magazine; ElsevierComputers & Electrical Engineering, Computers, Environment and Urban Systems, Optik, Sustainable Computing: Informatics and Systems, Journal of Computational Science, Pattern Recognition Letters, Information Sciences, Computers in Industry, Future Generation Computer Systems; Taylor&Francis International Journal of Computers and Applications and conference such as IEEE SMC, ICPR, ICTAI, ICICI, CCIS and ICACI. He is the guest editor for IEEE Transactions on Industrial Informatics, IEEE Consumer Electronics Magazine, Multimedia Tools and Applications, MDPI Sustainability, International Journal of Information and Computer Security, Journal of Medical Imaging and Health Informatics and Concurrency and Computation: Practice and Experience.Dr. Ke-Lin Du is a research scientist at Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, since 2001, where he became an affiliate associate professor in 2011. I investigated on signal processing, wireless communications and soft computing.Dr. Suma. V has obtained her B.E. in Information Science and Technology, M.S. in Software Systems and her Ph.D. in Computer Science and Engineering. She has a vast experience of more than 17 years of teaching. She has published more than 183 international publications which include her research articles published in world class international journals such as ACM, ASQ, Crosstalk, IET Software and international journals from Inderscience publishers, from journals released in MIT, Darmout, USA. Her research results are published in NASA, UNI trier, Microsoft, CERN, IEEE, ACM portals, Springer and so on. Details ISBN 9811679959 ISBN-13 9789811679957 Title Machine Learning and Autonomous Systems Author Joy Iong-Zong Chen, Haoxiang Wang, Ke-Lin Du, V. Suma Format Hardcover Year 2022 Pages 653 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:151493498; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. 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