بدائل البحث:
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
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Optical Tweezers with Optical Vortex Based on Deep Learning
منشور في 2025"…Our work demonstrates that the proposed deep learning network can provide an effective algorithmic platform for the analysis and design of optical tweezers and is expected to promote the application of optical tweezers in biomedicine.…"
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Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV
منشور في 2024"…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…"
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Data_Sheet_2_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.docx
منشور في 2024"…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…"
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Architecture of the proposed deep learning model for hip disease screening.
منشور في 2025الموضوعات: -
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