Industry 5.0 constitutes a change of paradigm where the increase of economic benefits
caused by a never-ending increment of production is no longer the only priority. Instead …

The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …

Although few performance evaluation instruments have been used conventionally in
different machine learning-based classification problem domains, there are numerous ones …

This article emphasizes comprehending the “Garbage In, Garbage Out”(GIGO) rationale and
ensuring the dataset quality in Machine Learning (ML) applications to achieve high and …

Confusion matrix is a useful and comprehensive presentation of the classifier performance. It
is commonly used in the evaluation of multi-class, single-label classification models, where …

The present study aims to enrich the specialized literature by proposing and calculating a
new flash-flood propagation susceptibility index (FFPSI). Thus, firstly the Flash-Flood …

Analyzing the self-regulatory process of complex science learning is a serious challenge as
it takes considerable time to train coders and do real-time assessment of a learner's …

It is difficult to predict and model with an accurate model the floods, that are one of the most
destructive risks across the earth's surface. The main objective of this research is to show the …

This paper proposes a systematic benchmarking method called BenchMetrics to analyze
and compare the robustness of binary classification performance metrics based on the …

An exploratory research is presented to gauge the impact of feature selection on
heterogeneous ensembles. The task is to predict diabetes onset with healthcare data …