Search alternatives:
modulation classification » emotion classification (Expand Search), model classification (Expand Search), lesion classification (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
based modulation » based population (Expand Search), based formulation (Expand Search), based simulation (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 wolf » _ wolf (Expand Search), a wolf (Expand Search)
modulation classification » emotion classification (Expand Search), model classification (Expand Search), lesion classification (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
based modulation » based population (Expand Search), based formulation (Expand Search), based simulation (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 wolf » _ wolf (Expand Search), a wolf (Expand Search)
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Presentation_1_Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy.PPTX
Published 2021“…In humans, the use of Progressive Growing GAN (PGGAN)-based augmentation showed 93% classification accuracy, which is far superior to conventional automated modules. …”
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…The proposed multilabel approaches convert the original 8-class problem into a set of three binary problems to facilitate the use of the CSP algorithm. …”
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The Value of Dynamic Grip Force Modulation as a Potential Biomarkerfor Hand Function Recovery Following Stroke
Published 2024“…</p><p dir="ltr">We used a supervised machine learning algorithm (support vector machine, SVM, with k-fold cross-validation) for binary classification of groups (stroke versus control group), task conditions (uni- versus bimanual), and to quantify the active range of motion evaluated with upper extremity Fugl-Meyer Assessment (UEFMA) within the stroke group alone.…”
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Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx
Published 2025“…However, existing studies are largely limited to the binary classification of immature and mature fruits, lacking dynamic evaluation and precise prediction of maturity states. …”
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Supplementary materials for PhD thesis 'Characterisation Of The Blazhko Effect In RR Lyrae Stars Using SuperWASP Data'
Published 2025“…<br><br>The classification and investigation of Blazhko effect and binary candidates contained herein provide the opportunity for further study with both existing, and future, ground- and space-based missions such as Gaia, the LSST and PLATO.…”