بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
both function » body function (توسيع البحث), growth function (توسيع البحث), beach function (توسيع البحث)
from function » from functional (توسيع البحث), fc function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
both function » body function (توسيع البحث), growth function (توسيع البحث), beach function (توسيع البحث)
from function » from functional (توسيع البحث), fc function (توسيع البحث)
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3321
Overall performance of the standard vs. extremised versions of each aggregation approach.
منشور في 2020"…The extremised MPW algorithm significantly outperforms both the standard and extremised versions of every other aggregation approach.…"
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3322
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3323
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3324
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3325
Data Sheet 1_Association between red blood cell distribution width-to-albumin ratio and in-hospital mortality in patients with congestive heart failure combined with chronic kidney...
منشور في 2025"…</p>Methods<p>The patients' information was collected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. …"
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3326
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3327
Table_1_Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape charac...
منشور في 2023"…A predictive nomogram had been built to be a prognostic indicator to clinical factors. Functional enrichment analysis showed that immune functions had more relationship and immune checkpoints were more activated in low-risk group than that in high-risk group. …"
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3328
Table_2_Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape charac...
منشور في 2023"…A predictive nomogram had been built to be a prognostic indicator to clinical factors. Functional enrichment analysis showed that immune functions had more relationship and immune checkpoints were more activated in low-risk group than that in high-risk group. …"
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3329
Table_3_Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape charac...
منشور في 2023"…A predictive nomogram had been built to be a prognostic indicator to clinical factors. Functional enrichment analysis showed that immune functions had more relationship and immune checkpoints were more activated in low-risk group than that in high-risk group. …"
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3330
Charging station placement optimization based on the location significance prediction
منشور في 2024"…The SVR modification is related to the kernel function, where the standard Gaussian kernel is adapted to better suit location-based significance predictions. …"
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3331
DataSheet_1_Long-term trends in functional diversity of exploited marine fish in the Azores’ archipelago: past and present.docx
منشور في 2023"…A trait-based approach was used to investigate the functional diversity of landed fish species in the Azores archipelago from 1980 to 2021.…"
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3332
Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks
منشور في 2025"…Biological insights derived from the subnetworks, including the annotation of proteins of unknown function, are discussed in detail. …"
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3333
S1 Dataset -
منشور في 2024"…This identified threshold is then applied to the focus search strategy employing the radial basis function (RBF) algorithm. Furthermore, an intelligent focusing system has been developed on the Zynq development platform, encompassing both hardware design and software program development. …"
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3334
Overall system design.
منشور في 2024"…This identified threshold is then applied to the focus search strategy employing the radial basis function (RBF) algorithm. Furthermore, an intelligent focusing system has been developed on the Zynq development platform, encompassing both hardware design and software program development. …"
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3335
Comparison of focusing effect.
منشور في 2024"…This identified threshold is then applied to the focus search strategy employing the radial basis function (RBF) algorithm. Furthermore, an intelligent focusing system has been developed on the Zynq development platform, encompassing both hardware design and software program development. …"
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3336
Hardware structure.
منشور في 2024"…This identified threshold is then applied to the focus search strategy employing the radial basis function (RBF) algorithm. Furthermore, an intelligent focusing system has been developed on the Zynq development platform, encompassing both hardware design and software program development. …"
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3337
Gray variance product line chart.
منشور في 2024"…This identified threshold is then applied to the focus search strategy employing the radial basis function (RBF) algorithm. Furthermore, an intelligent focusing system has been developed on the Zynq development platform, encompassing both hardware design and software program development. …"
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3338
Image2_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF
منشور في 2022"…After evaluating coronary stenosis level in CCTA (anatomical CT), pericoronary fat attenuation index (FAI), and CT-FFR, we extracted 1,691 radiomic features from PCT. By accumulating and weighting the most contributive features to functional ischemia (CT-FFR ≤ 0.8) the Rad-signature was established using Boruta integrating with a random forest algorithm. …"
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3339
Table1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.DOCX
منشور في 2022"…After evaluating coronary stenosis level in CCTA (anatomical CT), pericoronary fat attenuation index (FAI), and CT-FFR, we extracted 1,691 radiomic features from PCT. By accumulating and weighting the most contributive features to functional ischemia (CT-FFR ≤ 0.8) the Rad-signature was established using Boruta integrating with a random forest algorithm. …"
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3340
Image4_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF
منشور في 2022"…After evaluating coronary stenosis level in CCTA (anatomical CT), pericoronary fat attenuation index (FAI), and CT-FFR, we extracted 1,691 radiomic features from PCT. By accumulating and weighting the most contributive features to functional ischemia (CT-FFR ≤ 0.8) the Rad-signature was established using Boruta integrating with a random forest algorithm. …"