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B01=Antorweep Chakravorty
B01=Harish Sharma
B01=Jagdish Chand Bansal
Category1=Non-Fiction
Category=GPFC
Category=MBG
Category=TJF
Category=UB
Category=UT
Category=UYQ
COP=Singapore
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Congress on Smart Computing Technologies: Proceedings of CSCT 2023, Volume 2

English

This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2023) organized by SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India, from 23 December 2023. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and humancomputer interaction. The work is presented in two volumes.

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Current price €191.69
Original price €212.99
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Age Group_Uncategorizedautomatic-updateB01=Antorweep ChakravortyB01=Harish SharmaB01=Jagdish Chand BansalCategory1=Non-FictionCategory=GPFCCategory=MBGCategory=TJFCategory=UBCategory=UTCategory=UYQCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 17 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 17 Jan 2025
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819780952

About

Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science Liverpool Hope University UK. He also holds visiting professorship at NIT Goa India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently he proposed a fission-fusion social structure based optimization algorithm Spider Monkey Optimization (SMO) which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is the Section Editor (editor-in-chief) of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) Studies in Autonomic Data-driven and Industrial Computing (SADIC) and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and  ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.Harish Sharma is an Associate professor at Rajasthan Technical University Kota in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota and Government Engineering College Jhalawar. He received his B.Tech and M.Tech degree in Computer Engg. from Govt. Engineering College Kota and Rajasthan Technical University Kota in 2003 and 2009 respectively. He obtained his Ph.D. from ABV - Indian Institute of Information Technology and Management Gwalior India.  He is secretary and one of the founder member of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India ISI Kolkata. He is an Associate Editor of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He has also edited special issues of the many reputed journals like Memetic Computing Journal of Experimental and Theoretical Artificial Intelligence Evolutionary Intelligence etc. His primary area of interest is nature inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences.Dr. Antorweep Chakravorty is an Associate Professor at the University of Stavanger. His current research and development work is in the field of applied Blockchains Big Data Large Scale Machine Learning and Data Privacy. He has an interest in real-world problems especially development of privacy enabled data-driven services in smart energy healthcareand smart city domains. Antorweep completed his PhD. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger Norway. Along with having a background in applied research in data-driven solutions he is also involved in mentoring teaching and supervision.

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