
Artificial Intelligence Techniques for Sustainable Development
- 464 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence Techniques for Sustainable Development
About this book
How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.
Key features:
- Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health
- Highlights the advancement in electronics and communication technology for green applications
- Covers smart energy harvesting/charging and power management techniques using machine learning
- Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security
- Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change
The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.
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Information
Table of contents
- Cover Page
- Half Title page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- About the Editors
- Contributors
- 1 Introduction to Green and Red Artificial Intelligence
- 2 The Eco-Ethical Nexus: Convergence of Red and Green AI Paradigms
- 3 Impact of Artificial Intelligence Techniques and Green AI Applications
- 4 Impact of Artificial Intelligence Techniques on Green Applications
- 5 Green Communication Technologies and Protocols
- 6 EnSlight: Energy Autonomous LoRaWAN-Based, IoT-Enabled, Real-Time Street Light Management System for Smart Cities and Smart Villages
- 7 Green Computing in Network Security
- 8 Key Concepts in AI Models for Remote Sensing Applications
- 9 Artificial Intelligence Models for Remote Sensing Applications
- 10 Artificial Intelligence for Energy Storage System
- 11 Revolutionizing Energy Storage in Electric and Hybrid Vehicles: Empowering the Future with Artificial Intelligence
- 12 Revolutionizing Storage: The Artificial Intelligence Era in Energy Management
- 13 Renewable Energy Monitoring and Forecasting Based on Intelligent Data Analysis
- 14 Design and Simulation of Solar Power Generation System Using MATLAB®
- 15 Green Artificial Intelligence: Biodegradable and Biocompatible Materials
- 16 Virtually Going Green: The Role of Artificial Intelligence in Reducing Pollution and Toxicity
- 17 Prediction Models for Climate Change Using Artificial Intelligence
- 18 Air Pollution Control: Approaches, Technologies, and Environmental Inferences
- 19 Artificial Intelligence Techniques for River Water Quality Analysis Using IoT and Remote Sensing
- 20 Less Complex U-Net (LCU-Net): A Segmentation Module in Artificial Intelligence-Based Prediction Model of Breast Cancer
- Index
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