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 decreas... by Eric Wang (30587)

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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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 signif... by Oswaldo Maillard (20660661)

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

“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”

The MAE value of the model under raw data. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

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 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. …”

Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

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XAI Saliency map visualization for the proposed model. by Muhammad Zubair (728141)

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The correlation coefficient (<i>r</i>) between NDVI values and the seasonal series (2001–2020) of maximum air temperature (Tmax), precipitation (P), and vapor pressure deficit (VPD... by Oswaldo Maillard (20660661)

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TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

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

“…Logistic regression analysis was performed for PCG risk factors and machine learning model biomarker diagnosis.</p><p>Results</p><p>In the PCG group, H₂O₂ and MDA levels were notably higher than in controls (p < 0.001, <i><i>p</i> </i>= 0.020), while TAS levels were significantly lower (p = 0.043). …”

Statistic STD values of different satellite systems. by Jiang Li (272926)

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

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Proposed Multi-Layer U-Net model for gray matter segmentation. by Muhammad Zubair (728141)

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Gray matter segmentation results using the Attention U-Net model. by Muhammad Zubair (728141)

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ROC curve for the proposed Classification model across AD, MCI, and CN. by Muhammad Zubair (728141)

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Three error values under raw data. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Gray Matter segmentation results using the proposed Multi-layer U-Net Model. by Muhammad Zubair (728141)

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