A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Abstract: The passive acoustic monitoring of marine mammals is an essential tool for researchers tracking the populations of individual species in threatened environments. Given the large quantity of ...
New York, USA - US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, ...
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the ...
remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...
This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...
EEG-basedemotion decoding is essential for unveiling neural mechanisms underlying emotion and enabling artificial intelligence to understand human emotions. However, existing datasets for EEG-based ...
Abstract: Electroencephalogram (EEG) is the graphical representation of Brain’s electrical activity. Mental stress can be detected in many ways and EEG is one of them. Regular mental stress gives rise ...
The basic principles required to solve classification tasks with neural networks are used as building blocks in more complicated deep learning problems such as object detection and instance ...
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