Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making: Artificial Intelligence Applications
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Milton
Taylor & Francis Group
2024
|
| Edition: | 1st ed |
| Series: | Intelligent Data-Driven Systems and Artificial Intelligence Series
|
| Online Access: | DE-2070s |
| Summary: | This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (228 Seiten) |
| ISBN: | 9781040164679 |
Staff View
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| 505 | 8 | |a Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- About the Editors -- List of Contributors -- 1 Linking Green Supply Chain Management Practices with Competitiveness, Industry 4.0, and Social Responsibility -- 2 Comparative Analysis of Machine Learning Algorithms for the Power Consumption Prediction -- 3 Prediction of Cardiovascular Disease using Information Gain, Artificial Neural Network, and CART 5.0 Algorithms -- 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 Neuro-fuzzy VIKOR Technique in Multi-criteria Decision-making for Medical Diagnostic -- 10 Overview of 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 -- Index | |
| 520 | |a This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility | ||
| 700 | 1 | |a Modibbo, Umar Muhammad |e Sonstige |4 oth | |
| 700 | 1 | |a Bolaji, Asaju La'aro |e Sonstige |4 oth | |
| 700 | 1 | |a Garg, Harish |e Sonstige |4 oth | |
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Record in the Search Index
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| author | Ali, Irfan |
| author_facet | Ali, Irfan |
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| author_sort | Ali, Irfan |
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| building | Verbundindex |
| bvnumber | BV050102351 |
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| contents | Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- About the Editors -- List of Contributors -- 1 Linking Green Supply Chain Management Practices with Competitiveness, Industry 4.0, and Social Responsibility -- 2 Comparative Analysis of Machine Learning Algorithms for the Power Consumption Prediction -- 3 Prediction of Cardiovascular Disease using Information Gain, Artificial Neural Network, and CART 5.0 Algorithms -- 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 Neuro-fuzzy VIKOR Technique in Multi-criteria Decision-making for Medical Diagnostic -- 10 Overview of 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 -- Index |
| ctrlnum | (ZDB-30-PQE)EBC31467048 (ZDB-30-PAD)EBC31467048 (ZDB-89-EBL)EBL31467048 (OCoLC)1492137830 (DE-599)BVBBV050102351 |
| dewey-full | 658.4/030285 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/030285 |
| dewey-search | 658.4/030285 |
| dewey-sort | 3658.4 530285 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV050102351 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-10T13:07:56Z |
| institution | BVB |
| isbn | 9781040164679 |
| language | English |
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| oclc_num | 1492137830 |
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| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (228 Seiten) |
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| publishDate | 2024 |
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| publisher | Taylor & Francis Group |
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| series2 | Intelligent Data-Driven Systems and Artificial Intelligence Series |
| spelling | Ali, Irfan Verfasser aut Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications 1st ed Milton Taylor & Francis Group 2024 ©2025 1 Online-Ressource (228 Seiten) txt rdacontent c rdamedia cr rdacarrier Intelligent Data-Driven Systems and Artificial Intelligence Series Description based on publisher supplied metadata and other sources Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- About the Editors -- List of Contributors -- 1 Linking Green Supply Chain Management Practices with Competitiveness, Industry 4.0, and Social Responsibility -- 2 Comparative Analysis of Machine Learning Algorithms for the Power Consumption Prediction -- 3 Prediction of Cardiovascular Disease using Information Gain, Artificial Neural Network, and CART 5.0 Algorithms -- 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 Neuro-fuzzy VIKOR Technique in Multi-criteria Decision-making for Medical Diagnostic -- 10 Overview of 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 -- Index This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility Modibbo, Umar Muhammad Sonstige oth Bolaji, Asaju La'aro Sonstige oth Garg, Harish Sonstige oth Erscheint auch als Druck-Ausgabe Ali, Irfan Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Milton : Taylor & Francis Group,c2024 9781032781112 |
| spellingShingle | Ali, Irfan Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- About the Editors -- List of Contributors -- 1 Linking Green Supply Chain Management Practices with Competitiveness, Industry 4.0, and Social Responsibility -- 2 Comparative Analysis of Machine Learning Algorithms for the Power Consumption Prediction -- 3 Prediction of Cardiovascular Disease using Information Gain, Artificial Neural Network, and CART 5.0 Algorithms -- 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 Neuro-fuzzy VIKOR Technique in Multi-criteria Decision-making for Medical Diagnostic -- 10 Overview of 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 -- Index |
| title | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications |
| title_auth | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications |
| title_exact_search | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications |
| title_full | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications |
| title_fullStr | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications |
| title_full_unstemmed | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making Artificial Intelligence Applications |
| title_short | Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making |
| title_sort | optimization and computing using intelligent data driven approaches for decision making artificial intelligence applications |
| title_sub | Artificial Intelligence Applications |
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