In years of increasing impact of climate change effects, a reliable characterization of the
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …

Moving object detection has been a central topic of discussion in computer vision for its wide
range of applications like in self-driving cars, video surveillance, security, and enforcement …

A reliable prediction of the spatio-temporal drought variation can lead to a reduction in
vulnerability and an improvement in the management of drought-dependent businesses. In …

There are three income categories for Malaysians: the top 20%(T20), the middle 40%(M40),
and the bottom 40%(B40). The government has extended B40′ s access to higher …

Product maintenance costs throughout the product's lifetime can account for between 30–
60% of total operating costs, making it necessary to implement maintenance strategies. This …

This paper presents the development of a novel algorithm for unsupervised learning called
RUN-ICON (Reduce UNcertainty and Increase CONfidence). The primary objective of the …

Background: In the current global market, supply chains are increasingly complex,
necessitating agile and sustainable management strategies. Traditional analytical methods …

The Internet of Things (IoT) constitutes the foundation of a deeply interconnected society in
which objects communicate through the Internet. This innovation, coupled with 5G and …

Salmonella enterica is a leading cause of bacterial foodborne and zoonotic illnesses in the
United States. For this study, we applied four different whole genome sequencing (WGS) …

Acoustic emission (AE) was used for in-situ filiform corrosion (FFC) monitoring on coated
AA77075-T6. The analysis of AE data using DBSCAN as clustering algorithm (validated by …