Data Engineering and Applications: Proceedings of the International Conference, Idea 2k22 (2) - Couverture rigide

Couverture rigide

ISBN 10 : 9819724503 ISBN 13 : 9789819724505

Editeur : Springer Nature, 2024

Synopsis

This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

A propos du livre

À propos de l?auteur

Dr. Jitendra Agrawal is a director of the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He is also a program chair of IDEA2k22. His research interests include data mining and computational intelligence. He has authored 02 books and published more than 70 papers in international journals and conferences. Dr. Agrawal is a senior member of IEEE, a life member of CSI, ISTE, and a member of IAENG. He has served as part of the program committees for several international conferences organized in countries such as the USA, India, New Zealand, Korea, Indonesia, and Thailand. Dr. Rajesh K Shukla is a director of the Oriental Institute of Science and Technology Bhopal, India. He is also a program chair of IDEA2k22. With more than 23 years of teaching and research experience, he has authored and edited 10 books, published/presented more than 45 papers in international journals/conferences, and 6 patents are published/granted. Dr. Shukla received an ISTE U.P. Government National Award in 2015 and various prestigious awards from the Computer Society of India. His research interests include recommendation systems and machine learning. He is a fellow of IETE, a senior member of IEEE and ACM, a life member of ISTE, ISCA, and a member of IE(I). Dr. Sanjeev Sharma is a professor in School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He is also a general chair of IDEA2k22. He has over 33 years of teaching and research experience and received the World Education Congress Best Teacher Award in Information Technology. His research interests include mobile computing, ad hoc networks, image processing, and information security. He has edited proceedings of several national and international conferences and published more than 160 research papers in reputed journals. He is a member of IEEE, CSI, ISTE, and IAENG. Dr. Chin-Shiuh Shieh is the associate professor at the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan. He is also a general chair of IDEA2k22. His research interests include Computer Networking, Wireless Communication, Information Security, Computational Intelligence, Embedded Systems, and Medical Informatics. He has edited proceedings of several international conferences and published more than 320 research publications including papers in reputed journals and conferences and book chapters. He has been the director of the Academic Division of Signal Processing Society, IEEE Tainan Chapter, and the vice chair of Signal Processing Society, IEEE Tainan Chapter. He has been the guest editor, a reviewer board member, and reviewer for various international journals and conferences. He is a member of IEEE.

Détails de l'édition

• Éditeur: Springer Nature
• Date d'édition: 2024
• ISBN 10: 9819724503
• ISBN 13: 9789819724505
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 471
• Éditeur: Agrawal Jitendra, Shukla Rajesh K., Sharma Sanjeev, Shieh Chin-Shiuh
• Coordonnées du fabricant: non disponible