بدائل البحث:
learning algorithm » learning algorithms (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)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (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)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
element » elements (توسيع البحث)
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TreeMap 2016 Stand Size Code Algorithm (Image Service)
منشور في 2024"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"
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TreeMap 2016 Forest Type Name Algorithm (Image Service)
منشور في 2024"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"
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Predictive variables screened by LASSO regression and Random Forest algorithm.
منشور في 2025الموضوعات: -
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Data Sheet 2_Early stroke detection through machine learning in the prehospital setting.pdf
منشور في 2025الموضوعات: -
268
Data Sheet 1_Early stroke detection through machine learning in the prehospital setting.pdf
منشور في 2025الموضوعات: -
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Advancing Continuous Glucose Monitoring (CGM) for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference (MARD)
منشور في 2025"…</p><p dir="ltr">Conclusion: Patient-specific algorithmic refinements of CGM data demonstrate the potential to adequately address the unique demands of inpatient diabetes care by reducing intrapersonal MARD, paving the way for the adoption of CGM systems into hospital environments. …"
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Surface Tension Prediction of Fuel Additives Based on Machine Learning Model with Subtraction-Average-Based Optimizer Algorithm
منشور في 2025"…To address the demand for thermophysical data of fuel additives, 574 surface tension data for 22 fuel additives were extensively collected and evaluated using empirical models. …"
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Data Sheet 1_Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study.xlsx
منشور في 2025"…In the present study, four advanced machine learning algorithms—Extreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), and k-nearest neighbor (KNN)—were employed to develop predictive models. …"
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276
Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization
منشور في 2024"…Recent advances in data-driven approaches using the machine learning (ML) method have enabled the discovery of high-performance materials. …"
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277
Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization
منشور في 2024"…Recent advances in data-driven approaches using the machine learning (ML) method have enabled the discovery of high-performance materials. …"
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Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression
منشور في 2025"…The algorithm’s predictive capabilities are validated on five distinct data sets representing the evolution of the column’s pressure differential, a key indicator of fouling. …"