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Tensor products algebra applied to time frequency analysis of auditory encephalographic signal
Time-frequency methods (TFM) increase the dimensionality of signal spaces. In this thesis, a computational signal processing framework using tensor products algebra is developed to map Electroencephalographic (EEG) signals ...
Classifying disease-related tweets in the Twitter Health Surveillance System
Public health offcials, hospital directors, and other professionals related with health disciplines have to track and report disease outbreaks that affect populations around the world. Often, the data comes in reports and ...
Finding similar tweets within health related topics
Social networks have become a very important means to facilitate the creation and sharing of information, ideas, news, and opinions on many topics. They also provide real-time information on sales, marketing, politics, ...
Acquiring multispectral information using computer tomography imaging spectrometer based algorithms
Spectral imaging has been used by scientists to acquire information across the electromagnetic spectrum for remote sensing applications. Most of the spectral systems are based on scanning methods that rely mainly on ...