Cognitive Computing with Intelligent Engineering Platforms is an explorative study anchored in the transformative role of cloud-based artificial intelligence and cognitive computing in advancing smart engineering systems across industrial, urban, energy, and healthcare domains. The volume highlights how AI-driven platforms, Industrial IoT, and cloud infrastructures are reshaping decision-making, control systems and human-machine collaboration. Through focused chapters, the book examines AI-powered control architectures, cognitive technologies for smart manufacturing, and intelligent support systems for operators in next-generation industries. It further addresses collaborative energy management for smart cities using hybrid optimisation and IoT data fusion, advanced deep learning models for real-time electric vehicle battery state-of-charge estimation, and cognitive Industrial IoT applications in healthcare for intelligent care delivery. By integrating theoretical models with applied case studies, the book offers a holistic perspective on intelligent, sustainable, and human-centric engineering solutions. Key Features: -Integrated perspectives on cloud-based AI with smart engineering platforms -Focus on cognitive computing and Industry 5.0 paradigms -Discusses applications across manufacturing, energy, EV systems, smart cities, and healthcare -Presents advanced AI models for real-time monitoring and optimisation -Emphasises on sustainability, human-AI collaboration, and intelligent automation
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