A new algorithm enables smartwatch fitness trackers to more accurately monitor energy expenditure of people with obesity ...

Whether it’s a surprise birthday cake or an underdog team suddenly stealing the ball, moments that violate our expectations ...

Scientists at Northwestern University have developed a new algorithm that enables smartwatches to more accurately monitor the calories burned by people with obesity during various physical activities.

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Sparse representation, as a powerful signal processing method, is widely used in rolling bearing fault diagnosis. As an algorithm for solving the sparse model, randomized orthogonal matching pursuit ...

While AI has tremendous power to detect patterns of data that correlate with health outcomes, full realisation of that power requires changes in the patterns of human behaviour.

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Partial periodic-frequent pattern mining is a critical technique in the data mining field. This technique finds all frequent patterns demonstrating partial periodicity within temporal datasets.