Water supply systems are essential for a modern society. This article presents an overview
of the latest research related to information and communication technology systems for …

Detection of subsurface hydrodynamic anomalies plays a significant role in groundwater
resource management and environmental monitoring. In this paper, based on data from the …

Ionospheric scintillation frequently occurs in equatorial, auroral and polar regions, posing a
threat to the performance of the global navigation satellite system (GNSS). Thus, the …

The detection of anomalous behavior in business process data is a crucial task for
preventing failures that may jeopardize the performance of any organization. Supervised …

Weighing management in cattle farming is important for farmers, as it allows them to
accurately monitor the growth and development of their animals. It is also a valuable tool that …

The rapid and efficient quantification of Escherichia coli concentrations is crucial for
monitoring water quality. Remote sensing techniques and machine learning algorithms have …

Purpose: This work proposes the hypothesis that data oversampling may lead to dataset
simplification according to selected data difficulty metrics and that such simplification …

The surface soil freeze/thaw (FT) cycle serves as a “switch” for land surface processes;
accurate retrieval of surface FT dynamics based on satellite passive microwave remote …

There is a plethora of work in the literature on anomaly detection with statistical or machine
learning-based approaches. Most often there are several problems and pitfalls that anomaly …

Class imbalance, as a phenomenon of asymmetry, has an adverse effect on the
performance of most machine learning and overlap is another important factor that affects …