Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

Wind power has grown significantly over the last decade regarding its combability with
emission targets and climate change in many countries. A reliable and accurate approach to …

Although machine learning classifiers have been successfully used in the medical and
engineering fields, there is still room for improving the predictive accuracy of model …

Accurate predictions for buildings' energy performance (BEP) are crucial for retrofitting
investment decisions and building benchmarking. With the increasing data availability and …

The analysis of Electroencephalography (EEG) signals has been an effective way of eye
state identification. Its significance is highlighted by studies that examined the classification …

Tuberculosis has plagued mankind since ancient times, and the struggle between humans
and tuberculosis continues. Mycobacterium tuberculosis is the leading cause of …

The correct capture of forest operations information carried out in forest plantations can help
in the management of mechanized harvesting timber. Proper management must be able to …

Fluoride contamination of groundwater is a severe public health problem in Africa due to
natural factors that include geological weathering of fluoride-bearing minerals and climatic …

Assessing damage status and determining applicability grade of masonry structures needs
to conduct extensive on-site testing and evaluation. Traditional methodologies are time …

Purpose Information filtering systems serve as robust tools in the ongoing difficulties
associated with overwhelming volumes of data. With constant generation and accumulation …