Handbook of Research on Machine Learning: Foundations and Applications

ISBN-13: 9781774638682 / Angielski / Twarda / 2022 / 564 str.

Monika Mangla; Subhash K. Shinde; Vaishali Mehta

Opis

An exploration of machine learning advancements. It covers many aspects in machine learning, along with the applications in healthcare, in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.

Spis treści

PART 1: RUDIMENTS OF MACHINE LEARNING APPROACHES, 1. Ethics in AI in Machine Learning, 2. Advances in Artificial Intelligence Models for Providing Security and Privacy Using Machine Learning Techniques, 3. A Systematic Review of Deep Learning Techniques for Semantic Image Segmentation: Methods, Future Directions, and Challenges, 4. Covariate Shift in Machine Learning, 5. Understanding and Building Generative Adversarial Networks, PART 2: APPLICATION OF MACHINE LEARNING IN HEALTHCARE, 6. Machine Learning in Healthcare: Applications, Current Status, and Future Prospectus, 7. Employing Machine Learning for Predictive Data Analytics in Healthcare, 8. Prediction of Heart Disease Using Machine Learning, 9. Detection of Infectious Diseases in Human Bodies by Using Machine Learning Algorithms, 10. Medical Review Analytics Using Social Media, 11. Time Series Forecasting Techniques for Infectious Disease Prediction, PART 3: TOWARDS INDUSTRIAL AUTOMATION THROUGH MACHINE LEARNING, 12. Machine Learning in the Steel Industry, 13. Experiments Synergizing Machine Learning Approaches with Geospatial Big Data for Improved Urban Information Retrieval, 14. Garbage Detection Using SURF Algorithm Based on Merchandise Marker, 15. Evolution of Long Short-Term Memory (LSTM) in Air Pollution Forecasting, 16. Application of Machine Learning in Stock Market Prediction, 17. Deep Learning Model for Stochastic Analysis and Time-Series Forecasting of Indian Stock Market, 18. Enhanced Fish Detection in Underwater Video Using Wavelet-Based Color Correction and Machine Learning, 19. Fake News Predictor Model-Based on Machine Learning and Natural Language Processing, 20. Machine Learning on Simulation Tools for Underwater Sensor Network, 21. Prediction and Analysis of Heritage Monuments Images Using Machine Learning Techniques