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 …

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 industry uses an increasing number of mathematical prediction
models to accurately forecast the behavior of organic pollutants during catalytic degradation …

Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

The k-nearest neighbors (KNN) algorithm has been widely used for classification analysis in
machine learning. However, it suffers from noise samples that reduce its classification ability …

The focus of this research is on addressing the inefficient management of Municipal Solid
Waste (MSW), which often results in large quantities of waste being dumped into garbage …

The decision regarding which slab type should be used in a building is generally made by
the structural engineer, considering structural efficiency and compatibility with the …

Artificial intelligence, and specifically the subfields of computer vision and machine learning,
has become a topic with great potential for predicting reuse patterns in the built environment …

Agriculture stands as the lifeblood of humanity, feeding nations, driving economies, and
fostering livelihoods worldwide. Amidst escalating challenges, this innovative Agri-system …

Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …