Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence

1. Artificial Intelligence within Industrial and Systems Engineering Framework. 2. Mathematics of Cantor Set for AI Searches. 3. Set-theoretic Systems for AI Applications. 4. AI Mathematical Modeling for Product Design. 5. Mathematical Formulation of the Pursuit Problem for AI Gaming. 6. AI Framework for the Financial Sector. 7. AI Neuro-Fuzzy Model for Healthcare Prediction. 8. Stochasticity in AI Mathematical Modeling. 9. Mathematical Utility Modeling for AI Application. 10. Artificial Intelligence and Human Factors Integration in Additive Manufacturing. 11. AI Systems Optimization Techniques. 12. Mathematical Modeling and Control of Resource Constraints. Appendix A: Mathematical Expressions and Collections (Series, Patterns, and Formulae). Appendix B: Cantor Set Sectioning.

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• Ciência ambiental, engenharia e tecnologia
• Design de produtos
• Engenharia: geral
• Engenharia electrotécnica
• Ergonómica
• Outras tecnologias de produção
• Engenharia do controlo automático
• Modelação matemática
• Análise e projecto de sistemas
• Inteligência artificial

Systems Engineering;Machine Learning;Intelligent Systems;Production Systems;Artificial Intelligence;Digital Age;Real Code Genetic Algorithm;Cumulative Distribution Function;MetaHeuristic Optimization Techniques;Reliability Based Design Optimization;Smart Phones;Mobile Telecoms Service Providers;Neuro Fuzzy Model;Intelligent Search Algorithm;T1 Dm Patient;T1 Dm;MDO Problem;Cad Software;Forearm Crutch;Atm Machine;Tabu Search;Binary Search;Mental Workload;Cantor Set;Modal Concentration;Mobile Payments;Pareto Solutions;Metabolic Scenarios;Cognitive Ergonomics;Resource Characteristics;Optimize Search Patterns