Advances in Intelligent Computing, Big Data, and Communication Systems

Select Proceedings of icABCD 2026
Erscheinungsjahr 2027
ISBN: 978-981-9290-44-4
Verlag: Springer

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

Reihe: Springer Proceedings in Information and Communication Technologies

This book presents selected peer-reviewed papers from icABCD 2026, bringing together contributions from a global community of researchers, academicians, and industry practitioners working at the forefront of information and communication technologies (ICT). This book highlights recent advances and emerging trends in artificial intelligence, big data analytics, computing, and data communication systems, reflecting the transformative impact of these technologies in an increasingly interconnected and data-driven world. This book covers a broad range of topics, including artificial intelligence and machine learning, generative AI, agentic AI, robotics, big data analytics and management, intelligent Internet of Things (IoT) systems, cloud and edge computing, cybersecurity, and next-generation communication technologies. All contributions have undergone a rigorous peer-review process to ensure scientific quality, technical relevance, and originality. This book serves as a comprehensive reference for researchers, engineers, data scientists, industry professionals, policymakers, and graduate students.

Zielgruppe

Research

Autoren/Hrsg.

Pudaruth, Sameerchand

Singh, Upasana Gitanjali

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Distributed Resource Allocation for 5G Dense Cellular Networks Using Mobility-Aware Deep Reinforcement Learning: Hybrid-DMAT.- Investigating Data Scarcity and Model Adaptation for Sepedi-English Code-Switched Text-Generation Model.- Deep Reinforcement Learning for Cell-Free Wireless Networks.- Assessing the Impact of Lifestyle and Mental Health on Academic Achievement: A Random Forest-Based Machine Learning Approach.- A Random Forest-Based Behavioural Detection for Enhancing OPNsense NGFW Against Web Application Attacks.- Development of an Autonomous Row-Based Spraying Robot for Precision Agriculture.- A Conceptual Multi-Layered System Architecture for ELECTRE.- Design and Development of a Low-Cost Radio Communication Module for a CubeSat Training Platform.- Design and Implementation of an Autonomous Sweeper for Indoor Cleaning Applications.- How Blockchain Can Overcome Socio-Technical Barriers to Adoption in Container Shipping Logistics.

Über Autor(innen)

Sameerchand Pudaruth is an associate professor in the Department of Information and Communication Technologies (ICT) at the University of Mauritius. He holds a Ph.D. in Artificial Intelligence and an LL.B. from the University of London. His research interests include artificial intelligence, machine learning, data science, computer vision, blockchain technologies, and AI in education. He has authored more than 100 scholarly publications and is a senior member of both the IEEE and ACM. He has played key roles in organizing major international conferences and has led several externally funded research projects. He is also the author of Python in One Week.

Upasana Gitanjali Singh is an academic author and editor with expertise in digital education, academic quality, academic integrity, and higher education governance. She has co-authored and edited several influential volumes published by reputed publishers, including Digital Teaching, Learning, and Assessment: The Way Forward and Academic Quality and Integrity in the New Higher Education Digital Environment. Her work focuses on advancing innovative pedagogical practices, fostering academic integrity, and strengthening quality assurance frameworks in global higher education systems.