The researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a ...

In a landmark achievement, the diagram also details the activity of individual neurons ... Finally, they used artificial intelligence and machine-learning algorithms to annotate the neurons ...

A team from the University of Bern and the National Center of Competence in Research (NCCR) PlanetS has developed a machine-learning model ... "Our model is based on an algorithm that I developed ...

Premier Danielle Smith announced Monday a new “activity-based” model is on the way, to be implemented for some surgeries in 2026. The model ties public funding to the number and type of ...

Abstract: Recently, human activity recognition based on WiFi channel state information (CSI ... The newly proposed InceptionTime-Attention deep learning model combines inception modules with attention ...

Abstract: Anomaly detection in human activity recognition (HAR ... Conventional rule-based approaches often fail to capture the intricate relationships between sensor values, while ...

This study combines machine learning and a phase diagram to accelerate the design of a cobalt-based superalloy with a composition of Co-30Ni-10Al-6Ta (at%). The results show that Co-30Ni-10Al-6Ta ...

while the knn model (k = 3), based on similarity with its neighbors, performed the worst. Figure 3. Overall accuracy for transfer learning using three machine learning methods. The confusion matrices ...