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We develop a novel framework for rigorously evaluating land surface models (LSMs) against observations by recognizing the asymmetry between verification‐ and falsification‐oriented approaches. The former approach cannot completely verify LSMs even though
Hui Zheng +9 more
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Background: In reverse shoulder arthroplasty (RSA), the ideal combination of baseplate lateralization (BL), glenosphere size (GS), and glenosphere overhang (GOH) with a commonly used 145° neck shaft angle (NSA) is unclear.
Stefan Bauer, MD +6 more
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Analysis of Multiobjective Algorithms for the Classification of Multi-Label Video Datasets
It is of great importance to extract and validate an optimal subset of non-dominated features for effective multi-label classification. However, deciding on the best subset of features is an NP-Hard problem and plays a key role in improving the ...
Gizem Nur Karagoz +3 more
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Stacked Ensemble for Bioactive Molecule Prediction
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
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Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance
In 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
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This 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
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Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture
Recognizing 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
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Machine 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
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Detection of Malicious Websites using a three model Ensemble Classifiers
Malicious 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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