A recent study co-authored by Dr. Matthew Segar, a third-year cardiovascular disease fellow at The Texas Heart Institute and led by his research and residency mentor, University of Texas Southwestern ...

In the present big data era, data is growing exponentially, and optical networks serve as the backbone for high-capacity and long-distance data transmission. Optical networks are always large scale, ...

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

Relying on predictive maintenance, it is possible to improve the performance of production machines, predict their conditions and recognize faults, predict their maintenance dates, and also predict ...

Vibration sensors monitor the performance of motors, pumps, and other rotating assets such as fans, compressors and gearboxes to catch maintenance issues before they cause machine failure resulting in ...