Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
Published on 31. August 2020
VIII, 311 pages
978-3-030-51920-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 311 p. 115 illus., 92 illus. in color.
File size
10,30 MB
ISBN-13
978-3-030-51920-9 (9783030519209)
DOI
10.1007/978-3-030-51920-9
Schweitzer Classification
Other editions
Additional editions
Aboul Ella Hassanien | Roheet Bhatnagar | Ashraf Darwish
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
Book
09/2020
Springer
€213.99
Shipment within 7-9 days
Content
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.
