An original math-inspired meta-heuristic algorithm, named quadratic interpolation
optimization (QIO), is proposed to address numerical optimization and engineering issues …

This research introduces a machine learning (ML)-based methodology for the optimal blank
design of components manufactured through the deep drawing process, considering the …

This study assessed the levels of soil heavy metal pollution in agricultural land in
southeastern Chengdu and its effects on the germination stage of higher plants. Through …

Power generation (PG) prediction from renewable energy sources (RESs) plays a vital role
in effective energy management in smart cities. However, harnessing the potential of edge …

Material extrusion is a popular additive manufacturing technology due to its low cost, wide
market availability, ability to construct complex parts, safety, and cleanliness. However …

The experimental data obtained from the CO 2 adsorption experiments conducted by Saha
et al.(2017) were utilized. The Langmuir, Dubinin-Radushkevich (DR), Hill, and Freundlich …

This study investigates the prediction of the California Bearing Ratio (CBR) for nano-silica
and bio-char stabilized soft sub-grade soils using explainable machine learning (ML) …

Post weld heat treatment, or PWHT, is often used to improve the mechanical properties of
materials that have been welded. Several publications have investigated the effects of the …

The rising deployment of software in automation and the cognitive skills of machines
indicate a machine revolution in modern human civilization. Thus, diagnosing and predicting …

For multivariate time series forecasting problems, entirely using the dependencies between
series is a crucial way to achieve accurate forecasting. Real-life multivariate time series …