Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …

Rapid population growth, combined with increased industrialization, has exacerbated the
issue of solid waste management. Poor management of municipal solid waste (MSW) not …

Due to the dynamic and complexity of leachate percolation within municipal solid waste
(MSW), planning and operation of solid waste management systems are challenging for …

This study aims to develop several novel machine learning (ML) evolutionary algorithms for
the prediction of small strain shear modulus (G max) of clean sands and sand-fines binary …

Despite the advantages of using seashells in concrete, predictive models have not yet been
proposed for this type of concrete. To fill this gap, the present study utilized three distinctive …

Ensemble learning (EL) has gained popularity in recent investigations because of its higher
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …

Integrated management of municipal solid waste (MSW) is a major environmental challenge
encountered by many countries. To support waste treatment/management and national …

The assessment of the shear modulus (G) of municipal solid waste (MSW) and leachate-
contaminated soil (LCS) is of vital importance for landfill engineering investigation and …

Supporting good waste management practices is crucial for the sustainable development of
cities. Transforming the practices of cities is a complex problem that requires understanding …

Bitumen, aggregate, and air void (VA) are the three primary ingredients of asphalt concrete.
VA changes over time as a function of four factors: traffic loads and repetitions …