Introduction

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

Target Readership:

Researchers, students, and professionals in AI, smart engineering, Industrial IoT, and sustainable systems.