Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

This study critically reviews the scientific literature regarding machine-learning approaches
for optimizing smart bin collection in urban environments. Usually, the problem is modeled …

The potential of solid waste as an energy source is clear, owing to its wide availability and
renewable properties, which provide a critical answer for energy security. This can be …

This research addresses the critical challenge of disaster waste management, a growing
concern exacerbated by the increasing frequency and intensity of natural disasters like …

Decision-makers have consistently developed a range of classification models, each
possessing unique features within the domain of intelligent models. These endeavors are all …

To cope with the increasing energy demand of people and solve the problem of a “Garbage
Siege”, most cities have begun to adopt waste power generation (WTE). Compared to other …

This study aims to improve the performance of organic to recyclable waste through deep
learning techniques. Negative impacts on environmental and Social development have …

Plastic waste management is a critical concern in municipal solid waste management
systems worldwide. Despite the efforts of waste management personnel to segregate waste …

Managing solid waste effectively requires the proper classification of waste. To determine
whether a waste is organic or recyclable, machine learning methods can be used. This study …

This study aims to determine the impact of the IoT and VR-based hybrid model science
practicum on prospective science teacher students' creative thinking skills. In addition, the …