Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish
Part I: Artificial Intelligence in agriculture -- Optimization of Drip Irrigation Systems Using Artificial Intelligence Methods for Sustainable Agriculture and Environment -- Artificial Intelligence System for Grape Leaf Diseases Classification -- Robust Deep Transfer Models for Fruit and Vegetable Classification: A Step Towards a Sustainable Dietary -- The Role of Artificial Neuron Networks in Intelligent Agriculture (Case study: Greenhouse) -- Part-II Artificial Intelligence in Smart health Care -- Artificial Intelligence based Multinational Corporate Model for EHR Interoperability on an e-Health platform -- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques – proposing a shift Towards a Sustainable Healthcare Approach -- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques – proposing a shift Towards a Sustainable Healthcare Approach -- Part III: Machine Learning and Deep Learning Applications -- A Comprehensive Study of Deep Neural Networks for Unsupervised Deep Learning -- An Overview of Deep Learning Techniques for Biometric Systems -- Convolution of Images using Deep Neural Networks in the Recognition of Footage Objects -- A Machine Learning-based Framework for Efficient LTE Downlink Throughput -- Artificial Intelligence and Blockchain for Transparency in Governance -- Artificial Intelligence Models in Power System Analysis -- Part IV: Smart Networking Applications -- Internet of Things for Water Quality Monitoring and Assessment: A Comprehensive Review -- Contribution to the Realization of a Smart and Sustainable Home -- Appliance Scheduling towards Energy Management in IoT Networks Using Bacteria Foraging Optimization (BFO) Algorithm..
This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development. ..
| Medienart: |
E-Book |
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| Erscheinungsjahr: |
2021. |
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| Erschienen: |
Cham: Springer International Publishing ; 2021. Cham: Imprint: Springer ; 2021. |
| Ausgabe: |
1st ed. 2021. |
| Reihe: |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hassanien, Aboul Ella [HerausgeberIn] |
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| Links: |
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| ISBN: |
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| Themen: |
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| Umfang: |
1 Online-Ressource(VIII, 311 p. 115 illus., 92 illus. in color.) |
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| doi: |
10.1007/978-3-030-51920-9 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
1728479088 |
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| 245 | 1 | 0 | |a Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications |c edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish |
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| 520 | |a Part I: Artificial Intelligence in agriculture -- Optimization of Drip Irrigation Systems Using Artificial Intelligence Methods for Sustainable Agriculture and Environment -- Artificial Intelligence System for Grape Leaf Diseases Classification -- Robust Deep Transfer Models for Fruit and Vegetable Classification: A Step Towards a Sustainable Dietary -- The Role of Artificial Neuron Networks in Intelligent Agriculture (Case study: Greenhouse) -- Part-II Artificial Intelligence in Smart health Care -- Artificial Intelligence based Multinational Corporate Model for EHR Interoperability on an e-Health platform -- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques – proposing a shift Towards a Sustainable Healthcare Approach -- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques – proposing a shift Towards a Sustainable Healthcare Approach -- Part III: Machine Learning and Deep Learning Applications -- A Comprehensive Study of Deep Neural Networks for Unsupervised Deep Learning -- An Overview of Deep Learning Techniques for Biometric Systems -- Convolution of Images using Deep Neural Networks in the Recognition of Footage Objects -- A Machine Learning-based Framework for Efficient LTE Downlink Throughput -- Artificial Intelligence and Blockchain for Transparency in Governance -- Artificial Intelligence Models in Power System Analysis -- Part IV: Smart Networking Applications -- Internet of Things for Water Quality Monitoring and Assessment: A Comprehensive Review -- Contribution to the Realization of a Smart and Sustainable Home -- Appliance Scheduling towards Energy Management in IoT Networks Using Bacteria Foraging Optimization (BFO) Algorithm. | ||
| 520 | |a This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development. . | ||
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