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      Smart Trends in Computing and Communications

      Proceedings of SmartCom 2024, Volume 4

      AvTomonobu Senjyu,Chakchai So–In

      Häftad, Engelska, 2024

      Del 948 i serien Lecture Notes in Networks and Systems

      2 394 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

      Produktinformation

      • Utgivningsdatum:2024-05-15
      • Mått:155 x 235 x 28 mm
      • Vikt:907 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Lecture Notes in Networks and Systems
      • Antal sidor:519
      • Förlag:Springer Verlag, Singapore
      • ISBN:9789819713288

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Systemvetenskap och AI inom Data och IT
      • Artificiell intelligens inom Data och IT

      Mer om författaren

      Prof. Tomonobu Senjyu received his B.S. and M.S. degrees in Electrical Engineering from the University of the Ryukyus, Nishihara, Japan, in 1986 and 1988, respectively, and his Ph.D. in Electrical Engineering from Nagoya University, Japan, in 1994. He is currently Full Professor at the Department of Electrical and Electronics Engineering, University of the Ryukyus. His research interests include renewable energy, power system optimization and operation, power electronics, and advanced control of electrical machines.Prof. Chakchai So–In has been with the Department of Computer Science at Khon Kaen University since 2010. He received his B.E. and M.E. degrees from Kasetsart University (KU), Bangkok, Thailand, in 1999 and 2001, respectively. He also completed M.S. and Ph.D. degrees in Computer Engineering at the Department of Computer Science and Engineering, Washington University, in St. Louis (WUSTL), MO, USA, in 2006 and 2010. He has authored more than 100 publications in prominent journals and proceedings, together with 10 books. His research interests include mobile computing/sensor networks, Internet of Things, computer/wireless/distributed networks, cyber security, intelligent systems, and the future Internet. He is Senior Member of the IEEE and ACM. Dr. Amit Joshi is currently Director of Global Knowledge Research Foundation, also Entrepreneur Researcher who has completed his Masters’ and research in the areas of cloud computing and cryptography in medical imaging. He has an experience of around 10 years in academic and industry in prestigious organizations. He is Active Member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, he is International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria), He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. He has also edited more than 40 books which are published by Springer, ACM and other reputed publishers. He has also organized more than 50 national and international conferences and programs in association with ACM, Springer, IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.

      Innehållsförteckning

      • Chapter 1: Analytics of Machine Learning in Healthcare Industries.- Chapter 2: Design and Implementation of First in First out (FIFO) Buffer for distributed load balancing systems.- Chapter 3: Artificial Neural Networks-based Forecasting to Anticipate the Indian Stock Market.- Chapter 4: A Framework for Real Time Crowd Behaviour Monitoring System based on Human Activity Recognition in Surveillance Videos.- Chapter 5: STM32 Based Home Automation and Energy Monitoring System with TFT Display.- Chapter 6: Smart Rover for Farm Pesticide Spraying.- Chapter 7: Emergency Alert and Adaptive Traffic Signal System Using Machine Learning.- Chapter 8: Design of a chatbot for relieving academic stress in adolescent students.- Chapter 9: Mental Health Predictive Analysis using Machine Learning Techniques.- Chapter 10: Crime Prediction and Prevention Using Design Intervention and Artificial Intelligence. etc.
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