BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or threatened species instantly, right where it happens—even in places with no ...
Abstract: Neurological disorder diagnosis from EEG signals is hindered by low data resolution and limitations in feature extraction. In this work, the use of Enhanced Super-Resolution Generative ...
Background: The proposed Architecture will provide the processing and analysis essential to accurate and reliable detection of brain tumors from MRI, for timely diagnosis and evidence-based decisions.
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Attackers no longer break in, they log in. To defend against compromised accounts and insider threats, organizations need in-depth visibility into IT events. Identity Threat Detection helps you spot ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
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