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B01=Abhishek Bhatt
B01=Andries Engelbrecht
B01=Himanshu Mittal
B01=Praveen Kumar Shukla
Category1=Non-Fiction
Category=GPFC
Category=TJF
Category=TJFM
Category=UT
Category=UYS
Category=UYT
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Computer Vision and Robotics: Proceedings of CVR 2024

English

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented at the International Conference on Computer Vision and Robotics (CVR 2024), organized by Symbiosis Skills and Professional University, Pune, Maharashtra, India, during 2526 May 2024. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.

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Current price €236.69
Original price €262.99
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Age Group_Uncategorizedautomatic-updateB01=Abhishek BhattB01=Andries EngelbrechtB01=Himanshu MittalB01=Praveen Kumar ShuklaCategory1=Non-FictionCategory=GPFCCategory=TJFCategory=TJFMCategory=UTCategory=UYSCategory=UYTCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 16 Feb 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 16 Feb 2025
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819788675

About

Prof. Praveen Kumar Shukla is presently working as a Professor and Head in the department of Computer Science & Engineering Babu Banarasi Das University Lucknow. He is Ph. D. in Computer Science & Engineering from Dr. A P J Abdul Kalam Technical University Lucknow. He is B. Tech in Information Technology and M. Tech. in Computer Science & Engineering. His research area includes Fuzzy Systems (Interval Type-2 Fuzzy Systems and Type-2 Fuzzy Systems) Evolutionary Algorithms (Genetic Algorithms) Genetic Fuzzy Systems Multi-Objective Optimization using Evolutionary Algorithms Big Data Analytics and Internet of Things. He has published many Papers in National Conferences International Conferences and International Journals. He has also published a book Introduction to Information Security and Cyber Laws in 2014 with Dreamtech Publishers and published a patent on Social Media based Framework for Community Moblisation during and post Pandemic in 2021.He completed one Research Project on Particle Swarm Optimization Based Electric Load Forecasting sponsored by Dr. APJ Abdul Kalam Technical University under TEQIP-III scheme. He is the member of IEEE (Computational Intelligence Society) USA International Association of Computer Science and Information Technology (IACSIT) Singapore International Association of Engineers (IAENG) Hong Kong Society of Digital Information and Wireless Communications (SDIWC) Institutions of Engineers India and Soft Computing Research Society (SCRS) India.   Dr. Abhishek Bhatt is presently working as Professor and Director in the School of Data Science at the Symbiosis Skill and Professional University Pune. He received his engineering degree in Electronics and Communication and M.Tech. in Digital Communication in 2003 and 2008 respectively. He receives his Ph.D. degree in Machine learning and Computer Vision domain from the Indian Institute of Technology Roorkee in 2016. There are three different patents to his name in the domain of Artificial Intelligence and data science. He has worked with various industries like Samsung Research Institute Bangalore TCS Research etc. on different industrial problems. He is also working with Solytics Partners Pune on various projects related to Financial Data Analysis and Time-series Analysis. With an experience of more than 15 years in teaching he is the author of more than 80 journal/conference research papers and also reviews the papers submitted to some top-notch journals like IEEE Access and IEEE Transactions etc. in the domain of Data Science Machine Learning Deep Learning and Stochastic Modelling.  His current research interests include Data Analysis Data Visualization Computer Vision Machine Learning Pattern Recognition IoT and Cloud Computing. He is an active member of various societies like IEEE IET and IETE. He is also an academic council member of the CTMS Society. He is associated with the Board of studies of various engineering institutes in Maharashtra and abroad. He has chaired various international conferences in India and abroad. Presently at the Symbiosis Skill and Professional University (SSPU) he is a core committee member for various portfolios at the school as well as University level. Dr. Himanshu Mittal is an associate professor in the Department of Artificial Intelligence and Data Sciences Indira Gandhi Delhi Technical University for Women India.  He received his Ph.D. in the field of computer vision under the supervision of Dr. Mukesh Saraswat. The keen research areas of Dr. Mittal are image analysis machine learning and evolutionary algorithms. He has an excellent academic record as well as a research background with papers in reputed journals including IEEE Transactions. Also he has been the co-principal investigator of the research project funded by the Science and Engineering Research Board Department of Science and Technology India. Dr. Mittal is also a reviewer of many international journals and conferences. Prof. Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch South Africa in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering with a joint appointment as Professor in the Computer Science Division Stellenbosch University. Prior to his appointment at Stellenbosch University he has been at the University of Pretoria Department of Computer Science (1998-2018) where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018) the head of the Department of Computer Science (2008-2017) and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles he has written two books Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.

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