The City of Calgary is leveraging artificial intelligence to enhance pedestrian safety, according to a report presented to ...

Researchers pursued this study to evaluate the predictive potential of a response to intraoperative electrical stimulation in injured nerves. As electrical stimulators are readily available in clinics ...

The effectiveness of any AI system hinges on the quality of the data it learns from. Outdated, incomplete, or poorly structured data can undermine even the most sophisticated AI models. Data: ...

Abstract: To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control ...

The likelihood of having unwanted effects as a result of radiotherapy can be calculated by using so-called NTCP models. NTCP models calculate the risk of radiation-induced side effects based on ...

In every manufacturing plant, the same tension exists equipment must run longer, faster, and with fewer breakdowns. Yet ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Here are some of the reasons why I believe mystery shoppers will continue to play an essential role in retail—complementing, ...

As banks race to deliver hyper-personalised experiences, predictive AI is emerging as the next big differentiator.

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...