بدائل البحث:
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
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Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx
منشور في 2025"…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…"
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Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Childre...
منشور في 2024"…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"
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SHAP values and feature interaction scores in logistic regression (LR)-based prediction.
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Results of the sensor data detection model using the 2-classification CMHS dataset.
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Results of the sensor data detection model using the 2-classification WADI dataset.
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Table 1_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx
منشور في 2025"…</p>Conclusion<p>The findings suggest that the Random Forest algorithm using 46 features suits the data well and has the potential to be further developed as a decision support system for the concerned professionals and improve the usual way of screening anxiety and depression in children and adolescents.…"
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Table 2_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx
منشور في 2025"…</p>Conclusion<p>The findings suggest that the Random Forest algorithm using 46 features suits the data well and has the potential to be further developed as a decision support system for the concerned professionals and improve the usual way of screening anxiety and depression in children and adolescents.…"
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Automatic Prediction of Molecular Properties Using Substructure Vector Embeddings within a Feature Selection Workflow
منشور في 2024"…More recently, transformer-based language models have emerged as powerful tools. …"
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G R code algorithm.
منشور في 2024"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"
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Statistics of GI data processing using different algorithms at various input CTTDs.
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Statistics of HEWL data processing using different algorithms at various input CTTDs.
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Comparison of results of machine learning prediction models based on images.
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