Part1: Introduction
1. Introduction: From Generic AI to Domain-Aware Decision Systems
2. Comparative Analysis of CNN and Quaternion CNN for Image-Based Road Crack Detection in Computer Vision
3. Self-Structuring Neural Networks for Optimized Data Analytics Using EMANN-Like Algorithms
4. Scalable Data Science Workflow in the Cloud
5. Survey of Trustworthy AI Frameworks: Interpretability, Fairness, and Robustness Across Domains
Part2: Connecting Foundations to Applied Trustworthy AI
6. AI-based Sustainability Supply Chain Experimental Observations System: A Comprehensive Analysis
7. Transforming Supply Chain Management Through AI-Driven Predictive Analytics
8. Predictive Maintenance in Critical Infrastructure Using Graph Neural Networks
9. AI for Smart Transportation: Road Safety, Traffic Flow, and Accident Prevention
Part3: Decision Intelligence for Safer, Greener Infrastructure
10. Securing Critical E-commerce Infrastructure: Unsupervised Learning and LLM-Enhanced Anomaly Detection for Web-Based Attacks
11. Advancing Software Quality with Large Language Models, Deep Learning, and Cloud Infrastructure
12. Enhancing Software Reliability Prediction with Machine Learning: Addressing Data Noise and Model Consensus
13. AI for Cyber-Physical Security in Industrial IoT Systems
14. Trustworthy LLMs for Mission-Critical Applications: Benchmarks and Gaps
Part4: Building Reliable and Secure AI Systems
15. Bridging Theory and Practice: A LangChain-Based Virtual Assistant for Corporate AI Integration
16. Uncovering Non-Linear Drivers of Equity Valuation Across Sectors
17. AI-Driven Risk Modeling and Stress Testing in Financial Services
18. Decision Intelligence in Healthcare Finance and Insurance Systems
Part5: AI-Enhanced Decision-Making in Business and Finance
19. Unleashing Human Potential: Advancing Cognitive Capabilities Through AI-Designed Neural Interfaces
20. Ethical, Legal, and Societal Challenges of AI in High-Stakes Decision Systems
21. Cross-Sector Lessons and Roadmap: Towards Trustworthy and Domain-Aware AI.