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141
Errors (deviations from true values); median and IQR bars.
Published 2025Subjects: “…missforest imputation algorithm…”
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142
Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf
Published 2025“…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …”
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143
Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf
Published 2024“…Additionally, we utilized two previously established machine learning-based algorithms, one representing AD-like brain activity (Machine learning-based AD Designation [MAD]) and the other focused on AD-like brain structural changes (AD-like Brain Structure [ABS]). …”
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144
Supplementary file 1_Postoperative recurrence prediction model for perianal abscess using machine learning algorithms.docx
Published 2025“…Significant predictors were identified using the least absolute shrinkage and selection operator (LASSO) algorithm combined with multivariate logistic regression. …”
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145
Data-Article-A Novel Hybrid Cloud Density and Fuzzy Clustering Algorithm for Analyzing Traffic Condition
Published 2024“…A new fuzzy clustering method has been developed to enhance the performance of clustering methods, which is then used to detect abnormal traffic conditions on a route based on the value of traffic variables. …”
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146
Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty
Published 2025“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”
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Data Sheet 1_Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.csv
Published 2025“…Six machine learning models—K-nearest neighbor (KNN), light gradient boosting machine (LGBM), extreme gradient boosting (XGBoost), random forest (RF), linear model (LM), and support vector machine (SVM)—were developed to predict risk. The performance of each model was evaluated, and the best-performing model was further interpreted using the Shapley Additive Explanations (SHAP) algorithm.…”
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150
Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf
Published 2025“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”
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151
Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip
Published 2025“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”
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153
Supplementary Material for: The British-Israeli Project for Algorithm-Based Management of Age-related Macular Degeneration: Deep Learning Integration for Real- World Data Managemen...
Published 2025“…Longitudinal clinical data and OCT scans were. A deep learning algorithm (NOATM, Notal Ltd.) was used to quantify retinal fluid volumes and morphological features. …”
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154
Comparison of results of machine learning prediction models based on images.
Published 2025Subjects: -
155
Example of the representation flag based on principal component analysis (PCA) and Q-statistics.
Published 2025Subjects: -
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157
Correlation between measured and simulated data.
Published 2025“…These findings provide evidence-based design guidelines specific to Yulin while offering implications for sustainable residential development in similar climates, advancing the integration of climate-adaptive design strategies.…”
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158
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159
Quantum Descriptor-Based Machine-Learning Modeling of Thermal Hazard of Cyclic Sulfamidates
Published 2025Subjects: -
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