This valuable paper reports on a measure of flexible brain state engagement, derived from fMRI, as a predictor of cognitive control. One strength of the study is the use of external datasets for ...

This example shows how to implement field-oriented control (FOC) of a permanent magnet synchronous motor (PMSM) using a rotor position estimated by an autoregressive neural network (ARNN) trained with ...

2018-CVPR - CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise. [Paper] [Code] 2018-CVPR - Joint Optimization Framework for Learning with Noisy Labels. [Paper] [Code] ...

Abstract: Hydrothermal scheduling is a significant concern in the field of power system economics that seeks to reduce the overall cost of generation by optimizing the hourly output of generators.

Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the ...

The team discovered that these regions are neither completely locked in sync nor entirely independent. Instead, they operate via a balanced dynamic where sparse inter-regional connections provide ...

However, the evidence supporting the authors' proposal that this rapid reorganization may involve spontaneous reactivation of neurons that gain stimulus responsiveness during training is incomplete.

University of Peradeniya (UoP) is the heir to a seventy-year old university tradition, which commenced with the inception of the University of Ceylon, the first institution of its kind to be ...