Foreword

Chapters in this book

1. Frontmatter I
2. Foreword V
3. Contents VII
4. List of Authors IX
5. 1 The Role of Mathematical Optimization in Advanced AI Applications 1
6. 2 An Overview of Mathematical Optimization in Artificial Intelligence 35
7. 3 Robust Optimization Methods for Ensuring AI System Reliability 63
8. 4 Swarm Intelligence and Optimization in AI 81
9. 5 Privacy and Security for 6G’s IoT-Connected Future in the Age of Quantum Computing 107
10. 6 Optimization in Natural Language Processing Models for Enhanced Performance and Efficiency 127
11. 7 Unveiling the Intriguing Applications of Mathematical Optimization in Artificial Intelligence 157
12. 8 Unleashing the Power of Evolutionary Algorithms: Advanced Optimization Techniques in Artificial Intelligence 185
13. 9 Introduction to Mathematical Optimization Techniques in AI 205
14. 10 Hybrid Mathematical Optimization Techniques in AI 223
15. 11 Mathematical Optimization for Enhanced AI-Enabled Geospatial Intelligence 239
16. 12 Deep Learning-Based Ultrasound Analysis Using Explainable Artificial Intelligence (XAI) Methods for Breast Cancer 261
17. 13 Explainable Artificial Intelligence Techniques in Deep Learning-Based Liver Tumor Analysis 281
18. 14 A Novel African Wild Dog Optimization (AWDO) Algorithm for Applications of Artificial Intelligence 303
19. 15 Artificial Intelligence-Based Control Strategies for COVID-19 That Target Different Age Groups 317
20. 16 Model Optimization in Deep Learning: Theory and Application 335
21. 17 Quantitative Analysis for LMS Using Mathematical Modeling by Artificial Intelligence 351
22. 18 Optimizing Neural Network Training by Addressing Key Challenges and Advanced Techniques 369
23. 19 Principles and Applications of Bayesian Optimization in AI 391
24. Index 413