Intelligent Digital Systems and Sustainable Technology

This volume presents state-of-the-art research, methodologies, and applications in intelligent digital systems and sustainable technologies. It brings together theoretical advances and practical solutions that support the design of efficient, secure, adaptive, and environmentally responsible digital systems. The contributions cover artificial intelligence, machine learning, deep learning, computer vision, natural language processing, Internet of Things, blockchain, cloud computing, big data analytics, digital twins, cyber-physical systems, and intelligent automation. These approaches are applied to healthcare, education, manufacturing, transportation, smart cities, agriculture, finance, logistics, renewable energy, smart grids, environmental monitoring, and sustainable resource management.The volume also addresses real-world challenges such as predictive maintenance, intelligent decision-making, data security, energy-efficient computing, climate-aware technologies, automation, and scalable digital infrastructure. It provides insights into how emerging technologies can be integrated to improve operational efficiency, resilience, sustainability, and quality of life. The volume is recommended for researchers, academics, graduate students, engineers, technology professionals, and decision-makers interested in intelligent systems, digital transformation, and sustainable technological innovation.