… e-waste management system presented in this study is a game-changing approach designed
to solve the growing issues of e-waste collection, … resulted in increased ewaste generation, …

… e-waste recycling as an essential requirement to cope with the fast-growing e-waste stream
… AI is a type of machine learning that allows the machine to develop using pattern recognition…

… An unproper disposal of e-waste is now becoming … e-waste segregation and management
to recover the precious materials from these kinds of wastes. In this project, a Deep learning …

… automatic E-Waste Management System using machine learning … The image processing is
done with various deep-learning … a deep learning model to improve the accuracy of e-waste …

… the economic value of e-waste by improving metal recovery … deep learning and computer
vision technology offers a promising solution for automatically categorizing and sorting e-waste …

… The upsurge in e-waste has resulted in countries, including Canada, adopting a … management.
In this study, we conducted a mixed-method analysis of Canadian e-waste management …

… deep learning capability of neural networks is used in the proposed framework. When E-waste
equipment is spotted in image, a deep learning … and a convolutional neural network (CNN…

… treatment of the E-Waste such as unsuitable smelting of plastics. Using Machine learning
techniques to predict certain E-Waste and … Hence proposed Hybrid Neural Networks algorithm …

… Efficient: In this paper a complete framework is presented about the proper and efficient
way of e-waste management. Conserves natural resources: Reduces the load on natural …

… Machine learning (ML) provides a chemical engineer with a great way of reproducing the …
thermal methods utilized in the area of e-waste treatment and specifically bromine removal, we …