بدائل البحث:
source classification » correct classification (توسيع البحث), gesture classification (توسيع البحث), state classification (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary each » binary health (توسيع البحث)
each source » rich source (توسيع البحث), health source (توسيع البحث)
binary game » binary image (توسيع البحث)
source classification » correct classification (توسيع البحث), gesture classification (توسيع البحث), state classification (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary each » binary health (توسيع البحث)
each source » rich source (توسيع البحث), health source (توسيع البحث)
binary game » binary image (توسيع البحث)
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
منشور في 2020"…In this way, for each binary problem, the CSP algorithm produces features to determine if the specific body part is engaged in the task or not. …"
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PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…</p><p dir="ltr">In terms of classification, a second algorithm was developed and employed to preliminary sort or group the individual cells (after excluding the overlapping cells manually) into different categories using five geometric measurements applied to the extracted contour from each binary image mask (see PathOlOgics_script_2; preliminary shape measurements). …"
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iNCog-EEG (ideal vs. Noisy Cognitive EEG for Workload Assessment) Dataset
منشور في 2025"…</p><h3>Applications</h3><p dir="ltr">This dataset can be applied to a wide range of research areas, including:</p><ul><li>EEG signal denoising and artifact rejection</li><li>Binary and hierarchical <b>cognitive workload classification</b></li><li>Development of <b>robust Brain–Computer Interfaces (BCIs)</b></li><li>Benchmarking algorithms under <b>ideal and noisy conditions</b></li><li>Multitasking and mental workload assessment in <b>real-world scenarios</b></li></ul><p dir="ltr">By combining controlled multitasking protocols with deliberately introduced environmental noise, <b>iNCog-EEG provides a comprehensive benchmark</b> for advancing EEG-based workload recognition systems in both clean and challenging conditions.…"
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…Physicochemical Descriptors:</b></p><p dir="ltr">These features represent the primary characteristics of each nanoparticle and play a critical role in determining toxicity. …"