Results 71 to 80 of about 324,518 (313)
Spectral Regularization for Diffusion Models
Diffusion models are typically trained using pointwise reconstruction objectives that are agnostic to the spectral and multi-scale structure of natural signals. We propose a loss-level spectral regularization framework that augments standard diffusion training with differentiable Fourier- and wavelet-domain losses, without modifying the diffusion ...
Satish Chandran +4 more
openaire +2 more sources
Study on Recognition of Marine Microplastics Using Raman Spectra Combined With MTF and CNN
In recent years, seawater pollution caused by microplastic waste has caught more and more attention. Raman spectroscopy, a non-destructive detection technique, has representative spectral characteristic peaks, making it easier to identify unknown samples.
Yan, Qi +5 more
core +1 more source
Multi-agent Behaviour Segmentation via Spectral Clustering [PDF]
18.02.14 KB. OK to add accepted version to spiral, AAAI permits.We examine the application of spectral clustering for breaking up the behaviour of a multi-agent system in space and time into smaller, independent elements.
Takács, B, Demiris, Y, Butler, S
core
On-Line Component Analysis of Cement Powder Using LIBS Technology
In the process of cement production in the industrial field, the content of each component in the cement directly affects the quality of the cement. Therefore, it is of great significance to quickly and accurately monitor the content of each component in
Sun Lan-xiang +8 more
core +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Real-space spectral simulation of quantum spin models: Application to generalized Kitaev models
The proliferation of quantum fluctuations and long-range entanglement presents an outstanding challenge for the numerical simulation of interacting spin systems with exotic ground states. Here, we present a toolset of Chebyshev polynomial-based iterative
Francisco M. O. Brito, Aires Ferreira
doaj +1 more source
Glottal Spectral Separation for Speech Synthesis
This paper proposes an analysis method to separate the glottal source and vocal tract components of speech that is called Glottal Spectral Separation (GSS). This method can produce high-quality synthetic speech using an acoustic glottal source model.
Renals, Steve +3 more
core +1 more source
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader +13 more
core +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source

