Textbook in PDF format

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 (CI). 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.
Preface
I. 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 BlockChain Technology for Industrial IoT (IIoT)
Developing Image Deepfake Detection System Using the MesoNet Algorithm: A Comprehensive Approach
Weedy Rice Detection Mobile Apps Using Convolutional Neural Network
Uncertainty-Based Active Learning for Underwater Image Annotation
Circular Patch Antenna Classification Based on Radiation Pattern
Revolutionizing E-waste Classification: The Role of AI and Image Processing Techniques in Sustainable Recycling
Verification of Battery Initial Conditions for Battery Sizing in Microgrids Using Two-Way ANOVA and MRFO
Convolutional Neural Network (CNN) for Image Forgery Detection
Machine Learning for Classification of Circular Patch Antenna Based on Resonance and Impedance Matching
Deep Learning-Based System for Quranic Verse Recitation Verification
Design of Four-Port Antenna for Human Activity Recognition in Ambient Backscatter Communications Systems at 433 MHz
Classification of Patch Antenna Acceptance Based on Antenna Gain Using Machine Learning
Performance Enhancement for Multi?path Hybrid Spectrum Sensor Using Adaptive Threshold Optimization in Cognitive Radio
Malaysian Sign Language Recognition for Static Gestures Using Transfer Learning Technique
Effects of Routing Protocol Parameters to Improve Network Performances in MANET
A Systematic Review of Attention Mechanisms in UNet Models for Medical Image Segmentation
Automated Diabetic Retinopathy Detection: A Deep Learning-Based Approach
Evaluation of Particulate Matter Concentrations Across Diverse Urban and Rural Locations Using Machine Learning
Analysis of Feature Extraction on U-Net Wavelet and Clarify Net in Image Defogging
Optimizing the TSP-D with Pity Beetle Algorithm to Minimize the Delivery Completion Time for UAV Routing Problems
Student Academic Guidance System Using Rule Based Expert System
Integrated IoT and Machine Learning System for Solar Energy Monitoring on Small Farms
Evaluation of Digit Recognition Performance for Automatic Electric Meters Reading System
Multiclass Classification of Lung Cancer with SVM and XGBoost with 20+ Features
Analysis of Dielectric Resonator Antenna (DRA) Using Machine Learning Optimization Approach
A Study on Feature Extraction Methods for Effective Malware Detection: DCT, LBP, and HOG
Combined CNN Based Computer Imaging and Electromagnetic Sensing Analysis for Mango Quality Detection
Classification of Mango Ripeness Grades Using Machine Learning
Transfer Learning in Alzheimer’s Disease Diagnosis: A Comparative Study of Pretrained Models
Nearest Decimal Approach Method of IP Addressing for Variable Length Subnet Mask Calculation: Myanmar IXP Model
II. Electronics