Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreasing order by absolute value for the cancer outcomes. by Eric Wang (30587)

“…The features are sorted in decreasing order by absolute value for the cancer outcomes.…”

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values. by Oswaldo Maillard (20660661)

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Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Assessment values of machine learning models. by Bin Pan (742525)

“…Additionally, the model’s generalization ability is verified through transfer learning. Although the performance of the StackBoost model decreases when applied to different datasets, it still shows considerable transferability, making it a more generalizable prediction model for aqueous solubility.…”

Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with decreasing trends (<i>p</i> < 0.05). by Oswaldo Maillard (20660661)

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Table of values for <i>p.</i> by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

P values of Kruskal–Wallis test at 95% significance level. by Fahd Saeed Alakbari (10701871)

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PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

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Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

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TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

RMSE versus learning rate. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. …”

Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

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Comparison of environmental perception time results at different learning rates. by Wenhui Wang (34265)

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TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

“…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. …”

Comparative evaluation of gray matter segmentation using Multi-Layer U-Net, Vanilla U-Net, Attention U-Net, and state-of-the-art methods. The results of the proposed model are calc... by Muhammad Zubair (728141)

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Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

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CT outcome of HPDL-MIAIHD technique with other methods. by Naif Almakayeel (16846021)

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CT outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

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Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms by Fengjuan Wang (768949)

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