Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making

Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making

Artificial Intelligence Applications

Modibbo, Umar Muhammad; Bolaji, Asaju La'aro; Ali, Irfan; Garg, Harish

Taylor & Francis Ltd

12/2024

212

Dura

9781032781112

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Linking green supply chain management practices with competitiveness, Industry 4.0, and social responsibility. 2. Comparative analysis of machine learning algorithms for power consumption prediction. 3. Prediction of cardiovascular disease using information gain, artificial neural network, and CART 5.0 algorithm. 4. Weighting of logistics management factors by SWARA and DELPHI methods. 5. Evaluation of daily management with standard deviation and MOOSRA tools in hospitals. 6. Machine learning-based multi-objective optimization technique for load balancing in integrated fog cloud environment. 7. Perishable inventory fuzzy optimization model with uncertain deterioration and preservation investment. 8. Employing fuzzy inference system in ant colony optimization for travelling salesman problems. 9. Type-2 Gaussian neurofuzzy VIKOR technique in multi-criteria decision making for medical diagnostics. 10. Overviewing AI and explainable AI decision-making (XAIDM). 11. Harnessing the power of Industry 4.0: synergizing smart manufacturing, supply chain, and reshoring strategies. 12. Digital revolution in cold supply chain management related to the food industry. 13. The impact of blockchain technology and decentralized supply chain on production.
Intelligent Systems;Big Data Optimization;Image Processing;Machine Learning;Meta-heuristic Analysis;Hybrid Artificial Bee Colony Algorithm