Applied Soft Computing Techniques: Theoretical Principles and Practical Applications (Hardcover)

Introduction PART I: BIOMEDICAL APPLICATIONS 1. Soft Computing Algorithms and Their Applications in Breast Cancer Data Classification: An Experimental Analysis 2. Real-Time-Based Heart Patient Monitoring System: An Application of Health Care IoT 3. Sentiment and Depression Analysis Using Machine Learning 4. Brain Tumor Detection Using Deep Convolution Neural Networks 5. Smart Health Care Approach Using Machine Learning for Breast Cancer Diagnosis and Prediction 6. Sedona: A Mental Health Tracker 7. Machine Learning-Based Heart Disease Prediction System 8. Breast Cancer Risk Detection PART II: COMMUNICATION TECHNOLOGIES 9. A Comprehensive Study on Graphs, Design Processes, and Mapping Techniques Based on Evolutionary Algorithms for Network-on-Chip Architecture 10. Integrating IoT Devices with Renewable Energy Systems for Increasing Energy Efficiency 11. Architectures of Computer Networks with Standard 12. Drone-Enabled Precision Agriculture: Revolutionizing Crop Management and Yield Optimization PART III: DATA ANALYTICS AND APPLICATIONS 13. Machine Learning-Based Intrusion Detection Techniques: A Concise Study 14. Data Compression for Achieving Cost-Efficient and Secure Data Storage Over a Public Cloud: A Proposed Model 15. Accessibility of Data Linked to Large Scale Heterogeneous Databases Using a Generalized Approach: A Soft Computing-Based Approach 16. Visualization and Comparative Simulation of Pathfinding, Searching, and Sorting Algorithms 17. Educational Website with Search Engine Optimization PART IV: IMAGE PROCESSING 18. A Comparative Analysis on Support Vector Machine, K-Nearest Neighbors, Naive Bayes, and Decision Tree Classifiers Applied for Human Face Recognition 19. Study and Analysis of Computer Vision for Casualty Detection 20. Traffic Sign Recognition Using a Convolutional Neural Network 21. Optimized Soil Features Prediction Using a Satellite Image Database PART V: NATURAL LANGUAGE PROCESSING 22. A Novel Technique Enabling a Text-to-Speech Signal Converting System Using Raspberry Pi 23. Self-Learning Artificial Intelligence Smart Bot with NLP and Speech Recognition 24. Application of Multilayer Perceptron in Speech Emotion Recognition