Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

1. Auflage 2021
ISBN: 978-3-030-51922-3
Verlag: Springer International Publishing

Buch, Englisch, Band 912, 311 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 487 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Hassanien, Aboul Ella

Darwish, Ashraf

Bhatnagar, Roheet

Fachgebiete

• Technische Wissenschaften Technik Allgemein Nachhaltigkeit, Grüne Technologien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit

Inhaltsverzeichnis

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.