Concepts of circular economy for sustainable management of electronic wastes: challenges and management options

AL Srivastav, Markandeya, N Patel, M Pandey… - … Science and Pollution …, 2023 - Springer
The electronic and electrical industrial sector is exponentially growing throughout the globe,
and sometimes, these wastes are being disposed of and discarded with a faster rate in …

IoT-enabled smart waste management systems for smart cities: A systematic review

I Sosunova, J Porras - IEEE Access, 2022 - ieeexplore.ieee.org
With urbanization, rising income and consumption, the production of waste increases. One
of the most important directions in the field of sustainable development is the design and …

Advances in materials informatics: a review

D Sivan, K Satheesh Kumar, A Abdullah, V Raj… - Journal of Materials …, 2024 - Springer
Materials informatics (MI) is aimed to accelerate the materials discovery using computational
intelligence and data science. Progress of MI depends on the strength of database and …

E-Waste: A Global Problem, Its Impacts, and Solutions

J Hsu, J Wang, M Stern - Journal of Global Information Management …, 2024 - igi-global.com
E-waste is a major global problem linked to the use, and discard of, electronic and electric
devices. While the volume of these obsolete devices continues to increase and accumulate …

Modern Technological Innovation in Digital Wase Management

V Vijayalakshmi, R Radha, S Sharanya - … Intelligence for Green …, 2024 - igi-global.com
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 …

Electronic Waste Management: Fourth Industrial Revolution Technology Advancements and Opportunities

S Pulparambil, B Bani-Ismail… - … of Computing and …, 2024 - journals.uob.edu.bh
This paper examines the application of Fourth Industrial Revolution (4IR) technologies in
electronic waste management. The rapid expansion of the technology sector and the …

Waste Classification and Its Analysis Using RCNN Algorithm

P Ghadekar, A Joshi, P Kshirsagar… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The paper includes a classification model based on RCNN algorithm, using a dataset of
waste images with 9 different categories: Trash, plastic, metal objects, cardboard, papers …