Fast-fashion industry is characterized by short product life-cycles, high volatility, affordable
prices, and consumers' high impulse purchase decisions, which result in massive levels of …

Feature selection (FS) is vitally important for determining the optimum subsets of features
with effective information and maximizing the model accuracy. This study proposes a novel …

Urban water demand forecasting is crucial to reduce the waste of water resources and
environmental protection. However, the non-stationarity and non-linearity of the water …

Cold atmospheric plasmas (CAPs) have shown great promise for medical applications
through their synergistic chemical, electrical, and thermal effects, which can induce …

To reduce the computational cost and improve the accuracy in predicting failure envelopes
of caisson foundations, this study proposes an intelligent method using random forest (RF) …

Machine learning has the potential to enhance damage detection and prediction in materials
science. Machine learning also has the ability to produce highly reliable and accurate …

Profiles of millennial reviewers and gamification can contribute to digital sustainability as a
driver of innovation and growth. The study aims to detect if there are profiles of reviewers …

Water quality monitoring and assessment has been one of the world's major concerns in
recent decades. This study examines the performance of three approaches based on the …

Local government competitiveness is an intriguing contemporary issue that has not been
discussed extensively in prior studies on the evolution of the structure and scope of …

This paper is aimed at identifying the factors that shape consumers' interest and propensity
for sustainable consumption. It is focused on the differentiation of households in regard to …