بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
predict learning » predictive learning (توسيع البحث), policy learning (توسيع البحث), reduced learning (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
b algorithm » _ algorithm (توسيع البحث), box algorithm (توسيع البحث), dbo algorithm (توسيع البحث)
element b » elements b (توسيع البحث), element _ (توسيع البحث), element g (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
predict learning » predictive learning (توسيع البحث), policy learning (توسيع البحث), reduced learning (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
b algorithm » _ algorithm (توسيع البحث), box algorithm (توسيع البحث), dbo algorithm (توسيع البحث)
element b » elements b (توسيع البحث), element _ (توسيع البحث), element g (توسيع البحث)
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Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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Table 3_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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Table 2_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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Table 1_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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Table 4_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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Table 5_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"
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PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS
منشور في 2025الموضوعات: -
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Performance of the machine learning algorithms.
منشور في 2025"…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…"
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Performance of the machine learning algorithms.
منشور في 2025"…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…"
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(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm.
منشور في 2025الموضوعات: -
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Performance of models in predicting AI speaker users by machine learning algorithm.
منشور في 2024"…<p>Performance of models in predicting AI speaker users by machine learning algorithm.…"