Study Finds on MSN

Mold hiding in your walls? Scientists develop electronic ‘nose’ that can detect it in minutes

The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the ...
Frontiers

Nature documentaries vs. quiet rest: no evidence for an impact on event-related desynchronization during motor imagery and neurofeedback

Motor imagery (MI) in combination with neurofeedback (NF) has emerged as a promising approach in motor neurorehabilitation, facilitating brain activity modulation and promoting motor learning.
GitHub

linear-discriminant-analysis

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem ...
Frontiers

Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks

Understanding brain function relies on identifying spatiotemporal patterns in brain activity. In recent years, machine learning methods have been widely used to detect connections between regions of ...
IEEE

Multimedia Classification via Tensor Linear Discriminant Analysis

Abstract: Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this ...