Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
Abstract: Falls are a leading health risk for the elderly, highlighting the need for accurate and unobtrusive monitoring systems. Traditional camera-based approaches often raise privacy concerns, ...
Abstract: Emerging evidence indicates that major depressive disorder (MDD) with high suicide risk (MDDHSR) exhibits significant abnormalities in slow-wave sleep (SWS). However, the diagnostic ...
Abstract: With the rapid development of Internet of Things (IoT) technology, the smart home industry, particularly smart desk lamp is experiencing rapid growth. This multi-functional smart lamp using ...
Abstract: Effective emergency vehicle management is essential to human life and property protection in light of India’s quick urbanization and traffic congestion in India. GPS tracking and other ...
Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
British Prime Minister Keir Starmer has blocked a request from US President Donald Trump to allow US forces to use UK air bases during any preemptive attack on Iran, saying it could break ...
Abstract: Stroke detection from medical imaging, which is essential for early diagnosis and prompt intervention, greatly impacts patient outcomes. In this study, provide a technique that uses ...
A pair of federal immigration agents clad in camouflage and masks approached Ryan Ecklund’s car on a snowy Minnesota street last month with a stark warning. “You will not be following us anymore,” one ...
'Rest easy king': See the messages ChatGPT sent a young man who took his own life ...
Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
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