Modern Technological Innovation in Digital Wase Management
V. Vijayalakshmi, R. Radha, S. Sharanya
- Year
- 2024
- Citations
- 2
Abstract
As the rapid pace of technological advancement continues to propel society into the digital age, the surge in electronic waste (e-waste) poses significant challenges to environmental sustainability. This research explores modern technological innovations in digital waste management that contribute to the reduction, recycling, and responsible disposal of electronic devices. Special attention is given to advancements in recycling methods, the application of artificial intelligence (AI), machine learning (ML), deep learning (DL), robotics, and IoT in automated e-waste processing. The research investigates the utilization of exploring how materials can facilitate easier recycling and reduce the environmental impact of electronic devices. The research also explores the role of extended producer responsibility (EPR) in adapting to sustainable practices in product design, disposal, and recycling. This research contributes by offering an understanding of the tools, strategies, and policies that can contribute to a more sustainable volume of e-waste in our increasingly digitized world.
Keywords
Related papers
The Organization of Behavior
D. O. Hebb
2005
Fractional Brownian Motions, Fractional Noises and Applications
Benoît B. Mandelbrot, John W. Van Ness
1968
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi +7 more
2021
A guide to deep learning in healthcare
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar +7 more
2018