Nowadays, population growth and urban development lead to having an efficient waste
management system (WMS) based on recent advances and trends. Alongside all functions …

The purpose of this review is to investigate the landscape of scientific literature in analysing
the Artificial Intelligence (AI) technology capabilities for enhancing supply chain resilience …

Nowadays, a significant number of researchers are focusing on utilizing soft computing
approaches to address the issue of scheduling in applications concerned with hazardous …

In this paper, a new Vehicle Routing Problem is studied. An unmanned aerial vehicle (UAV)
is considered to handle the process of collecting hazardous waste from different sites. New …

Digital transformation encompasses the significant upheavals occurring in society, business,
and organizations as a result of advancements in digital technology, including artificial …

Efficient waste management has been a major problem for municipalities in urban
communities. The one important task is to find the optimum route for the waste collection …

Waste from electrical and electronic equipment (WEEE) or e-waste describes end-of-life
electronic products that are discarded. Due to their toxic and negative impacts to humans' …

Technology and related fields are advancing rapidly in today's era, which is leading to the
increased usage of electronic equipment especially mobile phones. This rapid growth in the …

Convolutional neural networks (CNNs) are being used in this paper to investigate waste
classification. The study compared the categorization of three waste categories (plastic …

This study investigates the role of machine learning (ML) and artificial intelligence (AI) in
reverse logistics (RL) within the scope of e-commerce and e-waste. RL is a process to plan …