بدائل البحث:
algorithm machine » algorithm achieves (توسيع البحث), algorithm within (توسيع البحث)
machine function » achieve functions (توسيع البحث), sine function (توسيع البحث)
algorithm machine » algorithm achieves (توسيع البحث), algorithm within (توسيع البحث)
machine function » achieve functions (توسيع البحث), sine function (توسيع البحث)
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801
Abbreviations used in the text.
منشور في 2025"…The database was divided into training and validation sets. Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…"
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802
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803
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804
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805
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806
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807
Instances and detailed results of the paper <i>Stochastic scheduling on a restricted batching machine</i>
منشور في 2025"…We consider minimizing the maximum lateness under uncertainty on the processing time of jobs. This function is particularly relevant in manufacturing environments where these machines are present, as meeting due dates is crucial on these bottleneck machines. …"
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808
Finding the most diverse subset of proteins - Genome Informatics 2024
منشور في 2024"…It would be useful to discover the possible space of proteins for a given functional role. How could a protein be modified? …"
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809
Empirical data.
منشور في 2025"…A predictive model was developed using five selected machine learning algorithms. The model was trained and validated on the 2020 database cohort and externally validated through a questionnaire survey of middle-aged and elderly individuals in Shaanxi Province, China, following the same criteria. …"
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810
Performance of nine models.
منشور في 2025"…A predictive model was developed using five selected machine learning algorithms. The model was trained and validated on the 2020 database cohort and externally validated through a questionnaire survey of middle-aged and elderly individuals in Shaanxi Province, China, following the same criteria. …"
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811
Performance of each model.
منشور في 2025"…A predictive model was developed using five selected machine learning algorithms. The model was trained and validated on the 2020 database cohort and externally validated through a questionnaire survey of middle-aged and elderly individuals in Shaanxi Province, China, following the same criteria. …"
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812
Performance curves of various models.
منشور في 2025"…A predictive model was developed using five selected machine learning algorithms. The model was trained and validated on the 2020 database cohort and externally validated through a questionnaire survey of middle-aged and elderly individuals in Shaanxi Province, China, following the same criteria. …"
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813
Subject selection flowchart.
منشور في 2025"…A predictive model was developed using five selected machine learning algorithms. The model was trained and validated on the 2020 database cohort and externally validated through a questionnaire survey of middle-aged and elderly individuals in Shaanxi Province, China, following the same criteria. …"
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814
Hyperparameter settings of each models.
منشور في 2025"…A predictive model was developed using five selected machine learning algorithms. The model was trained and validated on the 2020 database cohort and externally validated through a questionnaire survey of middle-aged and elderly individuals in Shaanxi Province, China, following the same criteria. …"
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815
Overview diagram of the method and contributions of this work.
منشور في 2025"…We implement our attention analysis algorithm (described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013424#sec005" target="_blank">Sect 2.2</a>) to obtain a set of HA sites for each protein. …"
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816
DataSheet1_Identification of novel markers for neuroblastoma immunoclustering using machine learning.zip
منشور في 2024"…Subsequently, the differences in clinicopathological characteristics and treatment between the different groups were examined. Three machine learning algorithms (LASSO, SVM-RFE, and Random Forest) were used to screen biomarkers and synthesize their function in neuroblastoma.…"
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817
Landscape17
منشور في 2025"…In particular, the explicit inclusion of transition states, which are more difficult to characterise using standard molecular dynamics, allows for assessment of global kinetics and comparison of MLIP landscapes with the DFT reference.</p><h3>Density functional theory calculations</h3><p dir="ltr">The reference potential energy landscapes were computed using density functional theory with the ωB97x hybrid-energy exchange correlation functional and a 6-31G(d) basis set within Psi4. …"
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818
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819
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820
Table 2_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx
منشور في 2025"…Immune infiltration was analyzed using TIMER and ssGSEA, with consensus clustering performed to explore immune subtypes. Protein expression and biological functions of hub genes were validated using the HPA database and GSEA.…"