Häftad, Engelska, 2025
Human-Centric Integration of 6G-Enabled Technologies for Modern Society
Fundamentals, Applications, Analysis and Challenges
Av Amit Kumar Tyagi, Shrikant Tiwari
2299 kr
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Beskrivning
Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges redefines the way we connect, communicate, and collaborate with emerging technologies in this smart era of 6G technology. The title benefits from a collective wealth of knowledge and perspectives. This diversity enriches the content, providing readers with insights from various angles, setting it apart from publications authored or edited by a limited number of individuals.
- It discusses both the like fundamental concepts, diverse applications and analytical methodologies, as the challenges that come with the development and deployment of 6G-enabled technologies
- It is designed to address the latest developments in 6G technology, offering a forward-looking perspective on emerging trends
- It ensures that readers receive up-to-date information and insights into the rapidly evolving landscape of next-generation wireless communication
Produktinformation
- Utgivningsdatum: 2025-06-17
- Mått: 216 x 276 x 19 mm
- Vikt: 1 080 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 396
- Förlag: Elsevier Science
- ISBN: 9780443274343
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Mer information
Amit Kumar Tyagi is an Assistant Professor at the National Forensic Sciences University, Gandhinagar, India. He previously held academic and research positions, including at Vellore Institute of Technology (2019–2022), and earned his PhD from Pondicherry Central University in 2018. He has supervised doctoral and master’s students and contributed to research projects on privacy and security in vehicular applications and medical cyber-physical systems. He has published over 200 peer-reviewed papers and holds more than 25 patents in areas such as deep learning, the Internet of Things, cyber-physical systems, and computer vision.He has edited over 25 books and authored four books in related fields, and has received multiple research awards. His interests include machine-based communications, blockchain, and secure, privacy-preserving computing. He is a member of ACM and IEEE.Dr. Tiwari is Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, in 2012. His research focuses on machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. He has contributed to the scholarly literature through journal articles, conference papers, and book chapters, and he is associated with several patent applications. Dr. Tiwari is a Fellow of IETE and a member of professional organizations including ACM, IET, CSI, ISTE, IAENG, and SCIEI. He also serves the research community as a guest editorial board member and reviewer for international scholarly journals.
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