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25.11.2024 um 19:30 Uhr
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
von Aboul Ella Hassanien, Ashraf Darwish, Roheet Bhatnagar
Verlag: Springer International Publishing
Reihe: Studies in Computational Intelligence Nr. 912
Gebundene Ausgabe
ISBN: 978-3-030-51919-3
Auflage: 1st ed. 2021
Erschienen am 01.09.2020
Sprache: Englisch
Format: 241 mm [H] x 160 mm [B] x 23 mm [T]
Gewicht: 647 Gramm
Umfang: 320 Seiten

Preis: 213,99 €
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Klappentext
Inhaltsverzeichnis

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.



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.


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