Optimizing Socio-Economic Systems in the Union State of Russia and Belarus: R & D, Higher Education, Labor Markets Digital Economy Collective Scientific Monograph

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Bol 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

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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


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