This important study investigates frequency-dependent effects of transcutaneous tibial nerve stimulation (TTNS) on bladder function in healthy humans and, through a computational model, shows that low ...

Abstract: In this paper, a health status calculation method based on nonparametric kernel density estimation of dissolved gas in oil and association rules for transformer is proposed. Firstly, the ...

Abstract: This paper presents a novel kernel density estimation approach to vehicle trajectory learning and motion analysis. The framework comprises a training stage and a testing stage. In the ...

There have been vast amount of studies on background modeling to detect moving objects. Two recent reviews[1,2] showed that kernel density estimation(KDE) method and Gaussian mixture model(GMM) ...

Sharing the same Kernel when using the Process Framework can result in an infinite loop as the various steps may try and invoke each other over and over again. Either add checks to ensure agents & ...

I’m currently building a multi-agent application using the Azure AI Agents SDK via Semantic Kernel. One limitation I’ve encountered is the lack of a native way to link agents together — for example, ...

Here we propose a method that makes use of kernel density estimation (KDE) on the output of a particle-tracking model, to quantify the infection or infestation pressure (IP) that each node causes on ...