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>
<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…
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…
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…
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…
This study proposes a systematic method to investigate the impact of climate change on water quality using multivariate analysis and machine learning. This approach is applied in the Upper Guadiana Basin (UGB), a semi-arid region in central Spain, by analyzing historical temperat…
<b>Title:</b> Precise Prediction on the Corrosion Prevention Ability of 1,2,4-Triazole Derivatives: An Artificial Neural Network Approach<br><b>Overview:</b><br>This record contains the computational dataset, quantitative structure-activity relationship (QSAR) parameters, and art…