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
