Intelligent Systems And Sustainable Computational Models Concepts Architecture And Practical Applications Rajganesh Nagarajan by Rajganesh Nagarajan, Senthil Kumar Narayanasamy, Ramkumar Thirunavukarasu, Pethuru Raj instant download after payment.

The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability.

Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as:

Intelligent and adaptive computing for sustainable energy, water, and transportation networks

Blockchain for decentralized systems for sustainable applications, systems, and infrastructure

IoT for sustainable critical infrastructure

Explainable AI (XAI) and decision-making models for computational sustainability

Sustainable development using edge computing, fog computing and cloud computing

Cognitive intelligent systems for e-learning

Artificial Intelligence and machine learning for large scale data

Green computing and cyber physical systems

Real-time applications in healthcare, agriculture, smart cities, and smart governance.

By examining how intelligent systems

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