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)

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. …”

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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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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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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Comparison of the Classification performance of the proposed model calculated on the test set with state-of-the-art Approaches. by Muhammad Zubair (728141)

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

Decrease in loss during the training process. by Muhammad Idrees (92773)

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

“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”

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

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A visual comparison of the associated resistance data from Table 1 with the values of <i>k</i>_cat, <i>K</i>_M, catalytic efficiency (<i>k</i>_cat/<i>... by J. Roadnight Sheehan (20141887)

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”