Colorado now makes life insurers prove their algorithms don't penalize people by race. Here's how the first-of-its-kind test ...
Abstract: This paper proposes a pattern recognition method for the fault diagnosis of machinery based on an enhanced trace ratio linear discriminant analysis (ETR-LDA) algorithm. It is an extension of ...
We provide detail information in each folder and every function. 'Examples' : Basic example codes for MI, ERP, SSVEP are included. -Folder : Examples :run_MI (example for the analysis of motor ...
In the realm of data analysis, classifying entities into distinct categories is a fundamental task that can significantly impact decision-making processes. Discriminant Analysis is a powerful ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Technology is continuously advancing, significantly impacting how businesses operate and improving various processes to enhance efficiency and productivity. One such technological advancement is topic ...
Machine learning algorithms can be used for the prediction of nonnative sound classification based on crosslinguistic acoustic similarity. To date, very few linguistic studies have compared the ...
1 Department of Computer Science and Engineering, University of Development Alternative, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, ...
Current motor imagery-based brain-computer interface (BCI) systems require a long calibration time at the beginning of each session before they can be used with adequate levels of classification ...
Surface electromyogram-based pattern recognition (sEMG-PR) has been considered as the most promising method to control multifunctional prostheses for decades. However, the commercial applications of ...