The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …

Solid waste generation and its impact on human health and the environment have long
been a matter of concern for governments across the world. In recent years, there has been …

Environmental contamination due to solid waste mismanagement is a global issue. Open
dum** and open burning are the main implemented waste treatment and final disposal …

The use of machine learning techniques in waste management studies is increasingly
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …

The application of machine learning contributes to intelligent and efficient management of
construction and demolition waste, leading to a reduction in waste generation and an …

The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …

The management of post-consumer discarded plastic wastes (PCPW) creates new
challenges in develo** countries due to the lack of amenities, technological interventions …

Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …

Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …

Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …