With a view of the massive human resources and time requirements, the need for an
automated, more accurate, and quicker method for handling the classification of solid wastes …

The total amount of waste is increasing all around the world day-by-day especially in urban
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …

Solid waste management (SWM) has recently received more attention, especially in
developing countries, for smart and sustainable development. SWM system encompasses …

The management of waste is one of the challenging processes that involve different
parameters, including environmental, climatic, technical, socio-economic parameters. Such …

Parallel to the rapid growth of the population, the rate of consumption is increasing all over
the world; this causes significant increases in the amount of waste. Thanks to the recycling of …

Solid waste management is an essential task to be carried out in day-to-day life. So an
automated recognition system using deep learning algorithm has been implemented to …

Municipal solid waste (MSW) management currently requires critical attention in ensuring
the best principles of socio-economic attributes such as environmental protection, economic …

Waste management leads to the demolition of waste conducted by recycling and landfilling.
Deep learning and the Internet of things (IoT) confer an agile solution in classification and …

Solid waste is a major issue in all cities around the world. Classification and segregation of
solid waste prior to reuse, recycle or recover is an important step towards sustainable waste …

This paper is on the comparative analysis of various convolutional neural network (CNN)
models that could be used in the classification of solid waste into different categories for …