Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...

Google has changed its search bar on the Google home page by adding the ability to upload a file or an image, and then the user experience takes you directly to AI Mode. This is different from ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

The openfeature python sdk supports both sync and async evaluation. However, the current goff Python provider only provides sync evaluation methods. The issue is, with Python, due to the existence of ...

The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.

A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...

Sign up for the daily CJR newsletter. On a recent evening, a group of editors, writers, and audio producers gathered on Zoom to talk about Erin Brockovich’s bra ...

Cardiovascular diseases (CVDs) [1] are one of the leading causes of death across the world, and early identification is essential for treatment and improved patient outcomes. This paper attempts to ...

Abstract: The diagnosis of cardiac disorders heavily relies on electrocardiogram signal classification processes. The proposed research establishes an Enhanced Crow Search Algorithm (ECSA)-based ...