Over the last two decades, the machine learning and related communities have conducted
numerous studies to improve the performance of a single classifier by combining several …

Slope failures lead to catastrophic consequences in numerous countries and thus the
stability assessment for slopes is of high interest in geotechnical and geological engineering …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

In recent years, the application of the internet of things (IoT) in areas such as intelligent
transportation, smart cities, and the industrial internet has become increasingly widespread …

An ensemble of models is a set of learning models whose individual predictions are
combined in such a way that component models compensate for each other's weaknesses …

This article presents an innovative genetic ensembles of classifiers applied to classification
of cardiac disorders (17 classes) based on electrocardiography (ECG) signal analysis. From …

Load forecasting implies directly in financial return and information for electrical systems
planning. A framework to build wavenet ensemble for short-term load forecasting is …

Wetland ecosystems have experienced dramatic challenges in the past few decades due to
natural and human factors. Wetland maps are essential for the conservation and …

Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …

Cyber-attacks occur more frequently with the rapid growth in the Internet. Intrusion detection
systems (IDS) have become an important part of protecting system security. There are still …