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Produktbild: AI for Decision Intelligence in Critical Systems

AI for Decision Intelligence in Critical Systems

Aus der Reihe Advances in Applied Mathematics

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Beschreibung

This edited book is a multi-disciplinary reference on how domain-aware AI models can outperform generic approaches by addressing sector-specific complexities. It is for academics and researchers in computer science, AI, and data science; industry professionals in transportation, software engineering,...

Beschreibung

This edited book is a multi-disciplinary reference on how domain-aware AI models can outperform generic approaches by addressing sector-specific complexities. It is for academics and researchers in computer science, AI, and data science; industry professionals in transportation, software engineering, finance; and policymakers.

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

03.08.2026
Herausgeber Shahab Saquib Sohail + weitere
Verlag Chapman and Hall/CRC

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

03.08.2026
Herausgeber
Verlag Chapman and Hall/CRC
Seitenzahl

250
Maße (L/B/H)

24/16,1/1,8 cm
Gewicht

493 g
Sprache

Englisch
ISBN

978-1-04-130484-5
Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: AI for Decision Intelligence in Critical Systems

  • Part 1: 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 Part 2: 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 Part 3: 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 Part 4: 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 Part 5: 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.