It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...

The new research also makes use of a machine learning algorithm, but this time tuned to detect markers of depression and anxiety through the speech of young children, conditions known together as ...

The electrical system of medium-sized transport aircraft mainly focuses on electricity. The safe use of electricity must be guaranteed. The reliability of aircraft power supply system is much stricter ...

This paper investigates the usage of automated machine learning (AutoML) for RUL estimation, based on using classical machine learning algorithms for regression. The data is pre-processed by ...

By using large bio-signal datasets, machine-learning algorithms are able to find clear relationships that apply to most people. Fill in the blanks. It is often cheap to gather bio-signal data, ...

Machine learning-detected signal predicts time to earthquake. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 12 / 181218093045.htm ...

BAE Systems is developing machine learning algorithms aimed at deciphering radio-frequency signals for the U.S. Defense Advanced Research Projects Agency (DARPA) under a contract worth up to $9.2 ...