The lack of sufficient big data-based approaches impedes the development of human
resource management (HRM) research and practices. Although scholars have realized the …

Condition monitoring in the water distribution network and sewerage pipelines is one of the
primary concerns for water utility companies. The impact of complex interconnected …

In this study, a linear discriminant analysis (LDA)-based nomenclature system have been
used for the classification of groundwater samples in a coastal aquifer. The capability of …

Significant advances have been made in species delimitation and numerous methods can
test precisely defined models of speciation, though the synthesis of phylogeography and …

Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …

Previous heat-related environmental justice studies have mainly concentrated on heat
exposure, with few studies focusing on other aspects of heat-related health risks. However …

Global warming will exacerbate the damages and losses caused by drought and
significantly affect human society and economic development. Future drought outlook is of …

Rapid urbanization have increased the sensitivity of urban environment to extreme weather.
To improve the deteriorating urban environment, the current situation of urban climate …

Crop water stress index (CWSI) is a reliable, economic and non-destructive method of
monitoring the onset of water stress for irrigation scheduling purposes. Its application …

Machine learning (ML) techniques have been recently employed to facilitate the
development of novel two-dimensional (2D) materials. Among various synthesis …