D. Arul Pon Daniel – författare

Embracing the Digital Horizon is a comprehensive collection of cutting-edge research, anchored in multidisciplinary innovation, that captures the rapid evolution of artificial intelligence, intelligent systems, and advanced engineering technologies shaping modern commerce and management.With rigorously peer-reviewed chapters, the book covers embedded hardware-software co-design, energy-efficient and sustainable architectures, intelligent sensing, real-time optimisation, advanced control systems, with additional focus on cyber-physical integration, IoT-enabled automation, machine-learning-driven decision frameworks, and robotics applications. Each contribution combines strong theoretical foundations with experimental validation, analytical modelling, comparative evaluations, and real-world case studies, effectively bridging academic research and industry practice.With its emphasis on scalable, sustainable, and intelligent automation, the book offers valuable insights into next-generation digital ecosystems and the technologies driving transformation across engineering, commerce, and management.Key Features:-Multidisciplinary coverage of AI, intelligent systems, automation, and embedded technologies-Application-driven research with real-world engineering and industrial case studies-Comparative evaluation of modern computational, control, and optimisation methods-Integration of AI, IoT, cyber-physical systems, and robotics for smart environments-Focus on scalable, sustainable, and future-ready intelligent automation strategies-Identification of emerging research challenges and future innovation pathways

Embracing the Digital Horizon is a comprehensive collection of cutting-edge research, anchored in multidisciplinary innovation, that captures the rapid evolution of artificial intelligence, intelligent systems, and advanced engineering technologies shaping modern commerce and management.With rigorously peer-reviewed chapters, the book covers embedded hardware-software co-design, energy-efficient and sustainable architectures, intelligent sensing, real-time optimisation, advanced control systems, with additional focus on cyber-physical integration, IoT-enabled automation, machine-learning-driven decision frameworks, and robotics applications. Each contribution combines strong theoretical foundations with experimental validation, analytical modelling, comparative evaluations, and real-world case studies, effectively bridging academic research and industry practice.With its emphasis on scalable, sustainable, and intelligent automation, the book offers valuable insights into next-generation digital ecosystems and the technologies driving transformation across engineering, commerce, and management.Key Features:-Multidisciplinary coverage of AI, intelligent systems, automation, and embedded technologies-Application-driven research with real-world engineering and industrial case studies-Comparative evaluation of modern computational, control, and optimisation methods-Integration of AI, IoT, cyber-physical systems, and robotics for smart environments-Focus on scalable, sustainable, and future-ready intelligent automation strategies-Identification of emerging research challenges and future innovation pathways