Intelligence.- Immunity Booster Bangladeshi Medical Plants Recognition Using CNN A Deep Learning Approach.- Seismic Data Quality Analysis Using Fuzzy Logic.- Enhancing RFID Antenna Design XG Boost Driven Machine Learning Optimization of Encapsulated Circular Loop Antenna.- Weed Detection and Removal using Robotic Arm with Mask R-CNN.- GSTLB GPS Enabled Secured Software Defined Network using Transfer Learning and Block Chain Technology for Industrial IoT(IIoT).- Developing Image Deepfake Detection System Using the MesoNet Algorithm A Comprehensive Approach.

This book showcases innovative approaches driving advancements in relevant fields such as smart manufacturing, Industry 5.0, and robotics. This edition of the Springer Studies in Computational Intelligence (SCI) Series explores cutting-edge applications of computational intelligence. Designed for engineers, industry professionals, and applied researchers, this book effectively bridges theory and real-world implementation.

Through a diverse collection of case studies and practical examples, readers will discover how computational intelligence techniques solve complex challenges across various sectors. The book offers actionable deployment strategies, empowering professionals to apply these concepts in their fields. This book cultivates a holistic approach to innovation and problem-solving by synthesizing diverse perspectives within computational intelligence.

This book is an essential resource for practitioners and researchers. It features hands-on implementation insights, comprehensive coverage of emerging trends, and a focus on industry-relevant techniques. It equips readers with the knowledge and tools to harness computational intelligence, tackle real-world challenges, and drive meaningful progress in their respective domains.

This book contains 50 papers pertaining to the abovementioned topics, providing a rich and diverse exploration of computational intelligence applications and methodologies.