… 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 …

… An online search was also conducted to find more e-waste image data. However, only a …
individual e-waste was found online. Most of the online images of e-waste were piles of e-waste …

… study the effectiveness of machine learning (ML) techniques … monitoring of copyrolysis in
e-waste treatment. This will … online monitoring of e-waste treatment and extension to other …

… Machine learning (ML) applications and robotic automations are viewed as the current
forerunners in achieving a smart tomorrow in terms of environmental waste reduction. In this …

… Pamuła, “Application of deep learning object classifier to improve e-waste collection
planning,” Waste Manag., vol. 109, pp. 1–9, 2020, doi: 10.1016/j.wasman.2020.04.041. …

… at how a “deep learning object classifier can be used to improve e-waste management.”
This … This chapter also looked at how deep learning object classifiers can help with e-waste …

… Integrating machine learning algorithms with CVT empowers systems with decision-making
capability. Data captured by computer vision systems from the real world in the form of digital …

… In this study, an FHGO-based Deep CNN method was implemented for E-waste classification.
The input data comprised economic dissipate descriptions obtained through an energy-…

… e-waste management system using advanced deep learning techniques to avoid diseases
caused by long-term dumping of e-waste … for waste collection to aid in the regular collection of …

… By employing machine learning to distinguish e-waste, we can contribute to separating
metallic and plastic components, the utilization of pyrolysis to transform plastic waste into bio-fuel…