AI for Decision Intelligence in Critical Systems (eBook)

Artikelnummer: 978-1-040-91555-4
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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.

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VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2026
Seitenangabe248 S.
AusgabekennzeichenEnglisch
Abbildungen50 schwarz-weiße Abbildungen, 50 schwarz-weiße Zeichnungen, 85 schwarz-weiße Tabellen
Masse19'547 KB
Auflage26001 A. 1. Auflage
PlattformEPUB
AutorSohail, Shahab Saquib (Hrsg.) / Soni, Arpita (Hrsg.) / Mandavalli, Satish (Hrsg.) / Kumar, Shantanu (Hrsg.) / Siddharth Kashyap, Gautam (Hrsg.)

Über den Autor Shahab Saquib (Hrsg.) Sohail

273309427

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