Smart Agriculture: AI-Enabled Growth Prediction for Lettuce Cultivation.- Neural Network-Based Smart Detection of Skin Cancer Using Radial Basis Function Networks.- Personalized Human Activity Recognition with Transfer Learning.- Efficient Handwritten Text Recognition Using Residual Networks and BiLSTM.- Next-Gen Research Assistance: Autonomous Cognitive Humanoid Lab Assistants for Streamlined Productivity and Safety.- Cross Model Communication Sign Language to Text and Speech to Sign Language using Inception V5.- Automated Papaya Fruit Classification Using CNN Models.- Seamless EV Charging through GPS-Guided Vehicle to-Vehicle Power Transfer and Wireless Charging Lanes.- Design & Implementation of a 5DOF Pick & Place Robotic Arm.- Enhancing Retail Insights: Introducing Dynamic  Association Rule Mining over Deep Learning and Machine Learning.

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.