This book presents a set of applied AI research from industries like intelligent agriculture, robotics, smart healthcare, digital security, and human–computer interaction, reflecting the recent research innovations, where deep learning, generative AI, IoT, and federated learning are merging to design intelligent, adaptive, and human-centric systems. Notable contributions include autonomous laboratory assistants, emotion recognition generative models, synthetic data generation frameworks, intelligent sign language translation, GPS-based EV charging, and AI-based mental health evaluation. With applications in the real world varying from crop disease detection to bank fraud detection, the number of contributions witness the revolutionary nature of cognitive systems.This book provides an engaging insight into the technologies propelling the next generation of intelligent, robust, and responsive systems.

This book presents a set of applied AI research from industries like intelligent agriculture, robotics, smart healthcare, digital security, and human–computer interaction, reflecting the recent research innovations, where deep learning, generative AI, IoT, and federated learning are merging to design intelligent, adaptive, and human-centric systems. Notable contributions include autonomous laboratory assistants, emotion recognition generative models, synthetic data generation frameworks, intelligent sign language translation, GPS-based EV charging, and AI-based mental health evaluation. With applications in the real world varying from crop disease detection to bank fraud detection, the number of contributions witness the revolutionary nature of cognitive systems.This book provides an engaging insight into the technologies propelling the next generation of intelligent, robust, and responsive systems.

This book presents a set of applied AI research from industries like intelligent agriculture, robotics, smart healthcare, digital security, and human–computer interaction, reflecting the recent research innovations, where deep learning, generative AI, IoT, and federated learning are merging to design intelligent, adaptive, and human-centric systems. Notable contributions include autonomous laboratory assistants, emotion recognition generative models, synthetic data generation frameworks, intelligent sign language translation, GPS-based EV charging, and AI-based mental health evaluation. With applications in the real world varying from crop disease detection to bank fraud detection, the number of contributions witness the revolutionary nature of cognitive systems.This book provides an engaging insight into the technologies propelling the next generation of intelligent, robust, and responsive systems.