Digital Ecosystems Interconnecting Advanced Networks With Ai Applications
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Digital Ecosystems: Interconnecting Advanced Networks with AI Applications
This book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.
Intelligent and Fuzzy Systems
Artificial Intelligence in Human-Centric, Resilient & Sustainable Industries This book focuses on benefiting artificial intelligent tools in our business and social life under emerging conditions. Human-centric, resilient, and sustainable industries are built on ideals like human-centricity, ecological advantages, or social benefits. The mission of human-centric artificial intelligence is to improve people’s lives by offering solutions that boost productivity, accessibility to resources, security, well-being, and general quality of life. The latest intelligent methods and techniques on human-centric, resilient, and sustainable industries are introduced by theory and applications. This book covers the chapters of world-wide known experts on machine learning, medical image processing, process intelligence, process mining, and others. The intended readers are intelligent systems researchers, lecturers, M.Sc. and Ph.D. students trying to develop approaches giving human needs, values, and viewpoints top priority through artificial intelligent systems.
Pioneering AI and Data Technologies for Next-Gen Security, IoT, and Smart Ecosystems
Author: John Joseph, Ferdin Joe
language: en
Publisher: IGI Global
Release Date: 2025-06-24
Pioneering AI and data technologies redefines next-generation security, Internet of Things (IoT), and smart ecosystems. By integrating intelligent algorithms with real-time data, these technologies enable more responsive, adaptive, and predictive systems across urban infrastructure, industrial environments, and connected devices. In security, AI strengthens threat detection and response, while in IoT, it enhances smarter automation and efficient resource management. Together with advanced data analytics, these innovations drive interconnected ecosystems that are more intelligent and secure, as well as more sustainable and resilient when facing global challenges. Pioneering AI and Data Technologies for Next-Gen Security, IoT, and Smart Ecosystems explores the integration of intelligent technologies into security, automation, and smart business sectors. It presents solutions for enhanced threat detection, data analysis, and predictive maintenance. This book covers topics such as digital technology, cloud computing, and deep learning, and is a useful resource for computer engineers, security professionals, business owners, academicians, researchers, and data scientists.