Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …

The growing need for sustainable waste management, especially for electronic waste (e-
waste), has gained attention due to its environmental and economic implications. Despite …

Problem: Fast-Moving Consumer Goods (FMCGs) are products that are purchased and
consumed frequently to satisfy continuous consumer demand. In a linear economy, FMCGs …

Increasing recovery of critical raw materials (CRMs) from waste electrical and electronic
equipment (WEEE) is a strategic priority to mitigate supply risks. Today, CRM recovery rates …

Recycling of waste from households and industries, is one of the methods that has been
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …

We are facing the challenge of rapid growth in waste from electrical products (e-waste). In
Europe, handling e-waste is regulated by the European Waste Electrical and Electronic …

Smart product recovery decision-making (SRDM) plays a critical role in the closed-loop
manufacturing chain. SRDM can facilitate the maximum reclamation of End-of-Life product …

Abstract Machine learning (ML) algorithms, such as neural networks, random forest, and
more recent deep learning, are illustrating their utility for waste recycling. The increasing …

To improve the recycling process of waste from electrical products, we developed a sensor-
based sorting system using convolutional neural network (CNN)-based image recognition …

The number of end-of-life mobile phones is increasing every year, which includes parts that
have high reuse values and various dangerous and toxic compounds. An intellectualized …