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Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications/ edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish.
其他作者:
Darwish, Ashraf.
面頁冊數:
VIII, 311 p. 115 illus., 92 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial Intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-51920-9
ISBN:
9783030519209
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
[electronic resource] /edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish. - 1st ed. 2021. - VIII, 311 p. 115 illus., 92 illus. in color.online resource. - Studies in Computational Intelligence,9121860-9503 ;. - Studies in Computational Intelligence,564.
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. .
ISBN: 9783030519209
Standard No.: 10.1007/978-3-030-51920-9doiSubjects--Topical Terms:
646849
Artificial Intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
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