Results 71 to 80 of about 41,704 (120)
Stacked Ensemble for Bioactive Molecule Prediction
IEEE Access, 2019 Bioactive molecular compounds are essential for drug discovery. The biological activity of these compounds needs to be predicted as this is used to determine the drug-target ability.
Olutomilayo Olayemi Petinrin +1 more
doaj +1 more source
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance
Applied SciencesIn this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memory (LSTM) networks.
Jana Backhus +5 more
doaj +1 more source
AtmosphereThis study evaluates the performance of the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX) models in simulating the historical precipitation extremes and uses the best-performing model to project changes in extreme ...
Ifeanyi Chukwudi Achugbu +3 more
doaj +1 more source
, 2020 In this paper, we consider ensemble classifiers, that is, machine learning based classifiers that utilize a combination of scoring functions. We provide a framework for categorizing such classifiers, and we outline several ensemble techniques, discussing how each fits into our framework.
Mark Stamp 0001 +3 more
openaire +2 more sources
Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture
Applied SciencesRecognizing aircraft automatically by using satellite images has different applications in both the civil and military sectors. However, due to the complexity and variety of the foreground and background of the analyzed images, it remains challenging to ...
Fadi Shaar +3 more
doaj +1 more source
Frontiers in NeuroinformaticsMachine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information.
Alba Gómez-Valadés +5 more
doaj +1 more source
Detection of Malicious Websites using a three model Ensemble Classifiers
Academy Journal of Science and EngineeringMalicious attacks are escalating along with the growth of internet users. As a result of that, it is making malware detection inefficient in the cybersecurity field.
Akolgo, E.A +3 more
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