Abstract: In this digital era, information security has become a very important domain as all sorts of information are publicly available in the web. Even though the security measures and the research ...

Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Facial emotion detection using MediaPipe and machine learning. Extract facial landmarks, train models, and classify emotions in real-time from images and videos. This project focuses on real-time ball ...

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TAMPA, Fla. — It is sci-fi meets reality at USF in Tampa, where researchers are developing an algorithm that allows them to see around hidden corners and through obstacles. "We're trying to see around ...

The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...

Research Question: Can we develop a point of care method to detect PH, based on cardiac orthogonal voltage gradient (OVG) signals and photoplethysmographic (PPG) signals? Aim: Using OVG and PPG ...

Today at the Society of NeuroInterventional Surgery's (SNIS) 20th Annual Meeting, researchers discussed a smartphone app created that reliably recognizes patients' physical signs of stroke with the ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Deep learning is used in many recent developments in computer vision and robotics; however, training deep learning models takes a lot of data to generalize to new circumstances. Deep learning for ...