
Sustainable Management of Electronic Waste
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Sustainable Management of Electronic Waste
About this book
SUSTAINABLE MANAGEMENT OF ELECTRONIC WASTE
Written and edited by a group of industry professionals, this new volume provides cutting-edge insights into how the sustainability of managing electronic waste can be achieved, for engineers, scientists, and students.
As a result of the rapid advancement of technology and the globalization of the economy, waste electrical and electronic equipment (WEEE) management has become increasingly important. Manufacturers are especially concerned about the proper disposal of their waste, and researchers need to identify the obstacles and enablers that stand in the way of implementing a long-term WEEE management system in order to develop a long-term WEEE management system. Further, the literature did not adequately capture the perspectives of multiple stakeholders while also identifying the enablers required for the development of sustainable WEEE management policies, which was particularly important in developing countries.
This volume fills a gap in the literature by considering the perspectives of multiple stakeholders to identify enablers of sustainable WEEE management in emerging economies which was previously unexplored. This book focuses on the most recent technological advancements for the twenty-first century, emphasizing the synergies that exist between computer science, bioinformatics, and other sciences. The research and development of artificial intelligence, machine learning, blockchain technologies, quantum computing with cryptography, nanotechnology, sensors based on biotechnology, Internet of Things devices, nature-inspired algorithms, computer vision techniques, computational biology, and other topics are covered in this book, along with their applications in the fields of science, engineering, physical science, and economics. Modern environmental techniques are among the most innovative innovations emerging as a result of the insatiable demand for health standards in the modern world.
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Information
Table of contents
- Cover
- Table of Contents
- Series Page
- Title Page
- Copyright Page
- Foreword
- Preface
- 1 Integration of Artificial Intelligence Techniques for Energy Management
- 2 Artificial Neural Network Process Optimization for Predicting the Thermal Properties of Biomass: Recent Advances and Future Challenges
- 3 E-Waste Management and Bioethanol Production
- 4 A Novel-Based Smart Home Energy Management System for Energy Consumption Prediction Using a Machine Learning Algorithm
- 5 AI-Based Weather Forecasting System for Smart Agriculture System Using a Recurrent Neural Networks (RNN) Algorithm
- 6 Comprehensive Review of IoT-Based Green Energy Monitoring Systems
- 7 The Contribution of Renewable Energy with Artificial Intelligence to Accomplish Organizational Development Goals and Its Impacts
- 8 Current Trends in E-Waste Management
- 9 Current E-Waste Management: An Exploratory Study on Managing E-Waste for Environmental Sustainability
- 10 Challenges in E-Waste Management
- 11 Recycling of Electronic Wastes: Practices, Recycling Methodologies, and Statistics
- 12 Sustainable Development Through the Life Cycle of Electronic Waste Management
- 13 E-Waste Challenges & Solutions
- 14 Global Challenges of E-Waste: Its Management and Future Scenarios
- 15 Impact of E-Waste on Reproduction
- 16 Challenges in Scale-Up of Bio-Hydrometallurgical Treatment of Electronic Waste: From Laboratory-Based Research to Practical Industrial Applications
- 17 Current Advances in Recycling of Electronic Wastes
- 18 E-Waste: The Problem and the Solutions
- 19 Contribution of E-Waste Management in Green Computing
- Index
- Also of InterestAlso of Interest
- End User License Agreement