In many countries, water quality monitoring is limited due to the high cost of logistics and
professional equipment such as multiparametric probes. However, low-cost sensors …

The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …

Systematic reviews (SR) are crucial in synthesizing and analyzing existing scientific
literature to inform evidence-based decision-making. However, traditional SR methods often …

Evaluating remote sensing techniques (RST)-based water quality monitoring systems in
hydrological applications is a complex multi-attribute decision-making (MADM) problem due …

The development of a sustainable water quality monitoring system at national scale remains
a big challenge until today, acting as a hindrance for the efficient implementation of the …

The solution to water constraints and the advancement of sustainable resource usage is
effective water management. This research presents a cloud-based water tank management …

A hybrid noble nanoparticle/DNAzyme electrochemical biosensor is proposed for the
detection of Pb2+, Cd2+, and Cr3+. The sensor takes advantage of a well-studied material …

Reliable and accurate flood prediction in poorly gauged basins is challenging due to data
scarcity, especially in developing countries where many rivers remain insufficiently …

The monitoring of water resources through conventional methods, related to a manual
process when performing the sample collection, followed by laboratory analysis, presents …

Water constitutes an indispensable resource crucial for the sustenance of humanity, as it
plays an integral role in various sectors such as agriculture, industrial processes, and …