There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...

This study evaluated the discriminative potential of a machine learning model using movement features during functional tasks to distinguish between patients with non-traumatic chronic neck pain and ...

Energy storage batteries are essential for stabilizing renewable energy systems and improving power grid efficiency. However, challenges such as capacity degradation, limited data quality, and the ...

Genetic testing is becoming an increasingly important component of reproductive health care. It has evolved, over the years, ...

Figure 1. Flowchart of the working principle of machine learning based on single-round nucleic acid aptamer screening sequences, including: deep learning of core sequences, machine learning analysis ...

Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

A machine learning analysis identified certain behavior profiles that predict a preference for alcohol in adolescent mice, which may provide insights into potential drivers of alcohol use disorder in ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...