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.

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

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

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven approaches with chemical equations grounded in mass transfer, heat transfer, ...

Abstract: Efficient power flow (PF) management plays a vital role in microgrids (MGs) minimizing operational costs, maximize renewable energy (RE) utilization, and ensure stable system performance.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

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: With the rapid advancement of intelligent and distributed manufacturing, the Distributed Hybrid Flow Shop Scheduling Problem (DHFSP) has emerged as a key area of research in industrial ...