Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...

Abstract: Traditional intrusion detection systems (IDSs), leveraging machine learning (ML) algorithms, have improved the detection accuracy of unknown attacks by continuously updating ML models but ...

For women with obesity, GLP-1 medications like Ozempic and Wegovy may help address the metabolic challenges that often intensify during midlife. The hormonal shifts of perimenopause and menopause can ...

Abstract: Low-field nuclear magnetic resonance (NMR) is a widely employed technique in geoscience. However, signal-to-noise ratio (SNR) is always an issue in low-field NMR measurement, which should be ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.