An evidence-based management algorithm does not improve quality of life or pain severity compared with standard care among ...

The Singapore rail operator has developed an intelligent analytics platform to support predictive maintenance and pinpoint track issues, maximising its three-hour nightly maintenance window ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

Automated decision making is basically when computers make choices on their own, using data and rules instead of a person.

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Background Allostatic load (AL) is the physiological burden of stress, and it is suggested to be a mediator between ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

Abstract: Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel ...

Objective To examine associations between participants’ perinatal factors, including harmonised birth weight and length, ...

Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...

Abstract: The production process of steelmaking continuous casting (SCC) is a typical heterogeneous distributed manufacturing system. The scheduling problem in heterogeneous distributed manufacturing ...