Intelligent System Algorithms and Applications in Science and Technology

Description

Intelligent System Algorithms and Applications in Science and Technology explores the application of intelligent techniques in various fields of engineering and technology. The volume addresses a selection of diverse topics in such areas as machine learning based intelligent systems for healthcare, applications of artificial intelligence and the Internet of Things, intelligent data analytics techniques, intelligent network systems and applications, and inequalities and process control systems. The authors explore the full breadth of the field, which encompasses data analysis, image processing, speech processing and recognition, medical science and health care monitoring, smart irrigation systems, insurance and banking, robotics and process control, etc. The 21st century has witnessed massive changes around the world in intelligence systems in order to become smarter, energy efficient, reliable, and cheaper. This collection of peer-reviewed book chapters, contributed by renowned experts in the field, will help keep readers up to date; it sheds light on the culture of intelligent techniques in the field of engineering and technology. Cover Half Title Title Page Copyright Page About the Editors Table of Contents Contributors Abbreviations Preface Part I: Machine Learning-Based Intelligent Systems for Healthcare 1. Big Data Analytics and Machine Learning Paradigm: Predictive Analytics in the Healthcare Sector 2. Cancer Cell Growth Discovery Utilizing Computerized Image Processing Strategies 3. Analysis and Prediction of Asthma from Common Symptoms Using Different Machine Learning Algorithms 4. Logistic Regression Based Myocardial Infarction Disease Prediction 5. New N-Valued Refined Neutrosophic Divergence Measure in Medical Investigation and Project Selection 6. Implementation of Quick Response Code in Electronic Records for Healthcare Monitoring 7. An Innovative Approach to Healthcare Using Machine Learning 8. Machine Learning Theory and Methods Part II: Applications of Artificial Intelligence and the Internet of Things 9. Artificial Intelligence (AI) 10. Smart Irrigation Using IoT Part III: Intelligent Data Analytics Techniques 11. A Study for Making Universities Intelligent Using Data Analytics and Artificial Intelligence 12. Sentiment Analysis of Online Learners in Higher Education: A Learning Perspective Through Unstructured Data 13. Prediction of Aging-Related Bugs Using Software Code Metrics 14. Application of CART-Based Modeling in Motor Insurance Fraud 15. Application of Neural Networks for Assessing the Performance of Insurance Business Part IV: Intelligent Network System and Application 16. A New Approach to Evaluate Computer Network Security Under Intuitionistic Trapezoidal Fuzzy Information 17. Optimization of Campus-Wide Fiber Networks: LINGO-Based Derivative of Shortest Path Problems and Solution 18. A Novel Approach to Sensors Using an Intensive Survey 19. Robotic Process Automation: An Application Part V: Inequalities and Process Control Systems: Application and Methods 20. (λIR, μIR) Fuzzy Ideals in Γ-Near-Rings 21. Approximation for Chi-Square F-Divergence via Midpoint Inequalities 22. New Coding Information Inequalities 23. Metaheuristics-Based Multi-Objective Design of Robust Process Control Systems 24. Bianchi Type IX Axially Symmetric Cosmological Model with Negative Deceleration Parameter in General Relativity Index