BioFASTNet enables automated interpretation of raw FTIR spectra without extensive preprocessing, reducing reliance on expert ...

Abstract: We propose a time-domain audio source separation method based on multiresolution analysis, which we call multiresolution deep layered analysis (MRDLA). The MRDLA model is based on one of the ...

Wavelet analysis provides a framework for decomposing signals and functions into basis elements that are localised in both time (or space) and frequency. Central to this approach is the concept of ...

Multiresolution analysis (MRA) on local fields extends the classical framework of wavelet decompositions from real and complex domains to settings such as p-adic numbers and other non-Archimedean ...

Abstract: In multiresolution coding a source sequence is encoded into a base layer and a refinement layer. The refinement layer, constructed using a conditional codebook, is in general not decodable ...

Epilepsy withholds patients’ control of their body or consciousness and puts them at risk in the course of their daily life. This article pursues the development of a smart neurocomputational ...

Researchers from NVIDIA have developed a method for very quickly training neural graphics primitives using a single GPU. Neural graphic primitives have traditionally required multiple, fully connected ...

Image analysis workflows for Histology increasingly require the correlation and combination of measurements across several whole slide images. Indeed, for multiplexing, as well as multimodal imaging, ...