In this manuscript, the combination of IoT and Multilayer Hybrid Dropout Deep-learning
Model for waste image categorization is proposed to categorize the wastes as bio waste and …

Globally, the growing amount of waste produced by cities is of great concern due to its
negative effects on both the surroundings and the well-being of people. Waste management …

With an increase in population, there is an exponential increase in the amount of waste
produced. This waste contains a high percentage of plastic that can be recycled. It is …

Recycling, reusing, and reducing electronic garbage (E-waste) may be the sole methods for
managing E-waste in use today. In essence, there is no ideal method of managing E-waste …

A rapid rise in inhabitants across the globe has led to the inadmissible management of
waste in various countries, giving rise to various health issues and environmental pollution …

An efficient and automated waste collection system can facilitate the overall waste
management of any smart city. Many IoT-based techniques are developed to make waste …

The drastic increase in solid waste over the globe have resulted to different health problems
and environmental pollution. An efficient way to resolve the issue of environment pollution is …

Urbanization reached severe dimensions as a result of rising population density and rural
flight to cities, posing a massive waste generating problem in cities. Increased garbage …

Electronic waste, also known as e‐waste, refers to electrical or electronic devices that are
discarded from households and workplaces. These used e‐wastes are meant to be …