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openalexFigshare2026-07-25Cited by 0

code-Uncertainty Analysis of Forest Biomass Estimation - Based on Non-parametric Models

Ma Ye

CNN-with-cv, by integrating the Monte Carlo simulation algorithm into the CNN framework, quantifies the parameter uncertainty and residual uncertainty of deep learning models. If other algorithms are used, simply replacing the model architecture will suffice.The ITOD simulation aims to quantify the uncertainty in the segmentation of individual tree canopies and requires prior information on the detection rate.Just replace the input data with your own data. If you have any questions for communication, you can contact via email at 799535410@qq.com.<br>

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openalexFigshare2026-07-24

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<b>Background</b>: Stroke is the leading cause of long-term disability in the world and there is a compelling need for scalable and effective rehabilitation strategies. Combined with the help of artificial intelligence (AI) based pose estimation technologies, telerehabilitation i…

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openalexFigshare2026-07-25

Digital Twin prototype of a 33/11kV substation

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Traditional power distribution networks within developing energy sectors frequently rely on legacy monitor-<br>ing systems or completely lack digitized telemetry, which severely limits situational awareness and delays<br>fault detection. To address these operational challenges, t…

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openalexFigshare2026-07-23

Supplementary Material for: Machine learning classification of frailty using wearable-derived sleep metrics in community-dwelling older adults

figshare admin karger, K. Park, Kim S.

Introduction: Frailty is a multifactorial geriatric syndrome, and sleep disturbances have emerged as a potential contributing factor. However, conventional statistical approaches may not adequately capture the complex and nonlinear patterns inherent in wearable-derived sleep data…

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openalexFigshare2026-07-26

Integrated multi-level transcriptomic and bioinformatics analysis identifies lipid metabolism–ubiquitination signatures and reveals ATG5, ASB4, LDLR, and CD36 as Candidate biomarkers in insulin resistance

Jicui Chen, G H Wu, Wei Shi, Xianjun Ma

Insulin resistance (IR) is the core pathological basis of type 2 diabetes mellitus (T2DM). This study aimed to identify core lipid metabolism-ubiquitination-related feature genes in IR. Integrative transcriptomic and functional analysis screened differential genes via multiple ma…

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