When using SFTTrainer with large datasets that require long preprocessing times (over 30 minutes), the training process consistently fails due to a PyTorch ...
The EEG system in use for a neonatal patient. [Image courtesy of CeriBell] CeriBell (Nasdaq:CBLL) announced today that it received FDA 510(k) clearance for its next-generation Clarity algorithm. The ...
Hi, I found that Infer fails to detect a deadlock in the following code example. It should have reported a deadlock warning at lines 9 and 14, as these two methods acquire locks this and lockB in ...
A novel two-stage Track-Before-Detect (TbD) method has been developed to significantly improve the detection of weak moving targets using reflected Global Navigation Satellite System (GNSS) signals.
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...
Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
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