5-fold validation results for model training with sex-specific data. by M. Mendez (6624953)

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Training dynamics of the proposed model for Fold 0. by Celina Rieck (22574722)

AI KRegression by CHIN-CHENG CHU (20718575)

Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…The XGBoost or KNN model using TAS alone achieved the highest AUC (0.74) in five-fold cross-validation.</p><p>Conclusion</p><p>The decrease in TAS levels and the increase in H₂O₂ and MDA levels are found to be correlated with PCG, and the results indicate that oxidative stress plays a part in congenital glaucoma onset.…”

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neo... by José L. Safanelli (20552654)

Detailed breakdown of sex-biased model performance across different sex-specific test subsets. by M. Mendez (6624953)

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Sex-biased model performance on a sex-balanced dataset. by M. Mendez (6624953)

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Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection. by M. Mendez (6624953)

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Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

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Model accuracy by sex and synovial recess distension in test sub-populations. by M. Mendez (6624953)

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Grad-CAM visualizations of the sex-classification model applied to knee joint ultrasound images. by M. Mendez (6624953)

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Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

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Grad-CAM visualizations of the sex-classification model applied to knee joint ultrasound images. by M. Mendez (6624953)

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Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection. by M. Mendez (6624953)

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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Periodic Open Cellular Structures with Streamlined Elliptical Struts for the Intensification of Mass Transfer-Limited Catalytic Reactors by Claudio Ferroni (10972436)

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n-fold cross-validation and predictor for the δ³⁴S random forest regression model: A) Observed and predicted δ³⁴S isotope values. by Borja González-Rabanal (22138847)

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)