Next-Generation Networks and Deployable Artificial Intelligence

Proceedings of NGNDAI 2025, Volume 3
Erscheinungsjahr 2026
ISBN: 978-3-032-15397-5
Verlag: Springer

Buch, Englisch, 504 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book is a collection of best selected research papers presented at International Conference on Next-Generation Networks and Deployable Artificial Intelligence (NGNDAI-2025) organized by Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during September 18–20, 2025. The book includes original research by researchers working in the field of artificial intelligence, machine learning, intelligent networks, robotics, and next-generation communication technologies.

Zielgruppe

Research

Autoren/Hrsg.

Gupta, Deepak

Pandey, Mayank

Kumar, Abhinav

Suganthan, Ponnuthurai Nagaratnam

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Enhanced RORQ: Reputation-Based Routing with Packet Drop Penalty.- Development of a steganography concept of audio data into audio using MATLAB & its transmission over ZigBee Protocols.- Multi-Objective Optimization of a Series System Using NSGA-II and NSGA-III: A Comparative Study on Reliability and Cost Trade-offs.- Blocklet: A Web3 Integrated Storage Platform.- Alternative Crested Porcupine-based Power Optimization Scheme in UWOC for Minimizing Outage Probability.- A Transformer-Enhanced Framework for Robust Digital Watermarking with Adaptive Noise Resilience.- Supply Chain Management using Blockchain Technology.- Risk Modelling of Autonomous Cars Using AADL.- EV Charging Slot Scheduling: Integrating Advanced Scheduling Algorithms with SDN – A Case Study.- Design and Experimental Evaluation of an nRF52832-Based Bluetooth Mesh Network for Efficient Sensor Data Collection and Cloud-Based Visualization.

Über Autor(innen)

Dr. Deepak Gupta is Assistant Professor in the Department of Computer Science and Engineering of Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. Previously he has worked in the Department of Computer Science and Engineering of National Institute of Technology Arunachal Pradesh. He received a Ph.D. degree in computer science and engineering from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, ELM, RVFL, KRR, biomedical applications, and other machine learning techniques. He has published over 80 referred journal and conference papers of international repute. His publications have more than 2382 citations with an h-index of 28 and i10-index of 63 (Google Scholar, 01/02/2025). Recently, he has listed in the world's top 2% of scientists in a study carried out by Stanford University, USA, 2023, 2024. He is Associate Editor of the Journal of Neural Networks, Computers and Electrical Engineering, etc.

Prof. Mayank Pandey stands out as Distinguished Academic and Highly Esteemed Professor at Motilal Nehru National Institute of Technology (MNNIT), Allahabad. Renowned for his profound expertise in computer science, he has made significant contributions to research, innovation, and education, inspiring generations of students and peers. He earned his bachelor's degree in computer science engineering from GB Pant Engineering College, Pauri, Garhwal, followed by an M.Tech. from the prestigious Indian Institute of Technology (IIT) Kharagpur, and a doctorate from MNNIT Allahabad. Throughout his illustrious career, Prof. Pandey has exemplified a relentless commitment to advancing knowledge and fostering excellence in teaching, research, and innovation. One of his most notable achievements is his groundbreaking research on video analytics-based crowd management during the Kumbh Mela 2019 in Prayagraj.

Dr. Abhinav Kumar works as Assistant Professor in the Department of Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad (MNNIT Allahabad), India. Prior to joining MNNIT Allahabad, he worked as Assistant Professor at the Indian Institute of Information Technology Surat (IIIT Surat), Gujarat, India, and Siksha O Anusandhan, Bhubaneswar, Odisha, India. He has obtained a Ph.D. degree in computer science and engineering from the Department of Computer Science and Engineering of the National Institute of Technology Patna, India. His research interests include machine learning, deep learning, crisis informatics, natural language processing, and social networks.

Prof. Ponnuthurai Nagaratnam Suganthan currently serves a Professor at the Department of Computer Science and Engineering, Qatar University, having joined in 2022 after a long-standing tenure as Associate Professor at Nanyang Technological University (NTU), Singapore. Originally from Tellippalai, Jaffna, Sri Lanka, he excelled academically at Union College, earning a full scholarship and later completing his B.A., postgraduate certificate, and M.A. in electrical and information engineering at the University of Cambridge during the early 1990s. He received his Ph.D. from NTU in 1995 before embarking on research roles at the University of Sydney (1995–96) and the University of Queensland (1996–99), leading to his long-standing faculty position at NTU. Prof. Suganthan is IEEE Fellow (2015), recognized for his significant contributions to optimization through evolutionary and swarm algorithms, and has consistently been ranked among Thomson Reuters Highly Cited Researchers in Computer Science from 2015 to 2022.