Nguyen H. Machine Learning and Other Soft Computing Techniques...2024

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Nguyen H. Machine Learning and Other Soft Computing Techniques...2024

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Textbook in PDF format This book contains applications to various health-related problems, from designing and maintaining a proper diet to enhancing hygiene to analysis of mammograms and left-right brain activity to treating diseases such as diabetes and drug addictions. Health issues are very important. So naturally whatever new data processing technique appears, researchers try to apply it to health issues as well. From this viewpoint, Artificial Intelligence (AI) and Computational Intelligence (CI) techniques are no exception: they have been successfully applied to medicine, and more promising applications are on the way. Applications of AI and CI techniques to health issues are the main focus of this book. Health issues are also very delicate, because human bodies are complex organisms. No matter how interesting and promising are new ideas and new techniques, there is always a possibility of unexpected side effects. Because of this, we cannot apply untested methods to patients, and we first need to test these methods on other less critical applications. Several book chapters describe such applications―whose success paves the way for these methods to be used in biomedical situations. These applications range from human/face detection to predicting student success to predicting election results to explaining the observed intensity of space light. We hope that this book helps practitioners and researchers to learn more about computational intelligence techniques and their biomedical applications―and to further develop this important research direction. Preface How to Estimate Unknown Unknowns: From Cosmic Light to Election Polls Why Bump Reward Function Works Well in Training Insulin Delivery Systems We Can Always Reduce a Non-linear Dynamical System to Linear—At Least Locally—But Does It Help? How to Best Retrain a Neural Network if We Added One More Input Variable Towards a Psychologically Natural Relation Between Colors and Fuzzy Degrees Algebraic Product Is the only ``And-Like''-Operation for Which Normalized Intersection Is Associative: A Proof High Potential Negative Sampling for Drug Disease Association Prediction Cognitive States Prediction with KNN and TomekLinks Health Digital Twins with Clinical Decision Support and Medical Imaging Promoting STEM-Integrated Learning Through Engineering Design: High School Students' Automatic Hand Washers KNN-SMOTE: An Innovative Resampling Technique Enhancing the Efficacy of Imbalanced Biomedical Classification Human Detection in Video for Security Surveillance Systems Fake Face Detection with Separable Convolutions A Classification System of Mammograms Based on Convolutional Neural Networks OAGRE: Outlier Attenuated Gradient Boosted Regression Improve the Effectiveness of Predicting Student Dropouts Based on Deep Learning and SMOTE Models Data Processing and Feature Engineering for Stock Price Trend Prediction Distributed Computing in Training Machine Learning Models Fruit Calorie Determination System for Dieters and Athletes Using Deep Learning An Approach to Instrumental Song Classification Utilizing Spectrogram and Convolutional Neural Networks Heterogeneous Transfer Learning Using Pre-trained Feature Mapping and Exchange Usually, Either Left and Right Brains Are Equally Active or Only One of Them Is Active: First-Principles Explanation