Results 141 to 150 of about 18,244,520 (347)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Single‐cell transcriptomics of soybean roots soon after rhizobial inoculation reveals epidermal and cortical cell‐specific programs and gene‐regulatory networks acting in symbiosis establishment. We identify an ethylene‐driven regulatory circuit involving WRKY6.3/6.4 transcription factors targeting select Nod19 genes that promotes infection‐thread ...
Yongbin Zhuang +17 more
wiley +1 more source
In NIID, expanded NOTCH2NLC repeats give rise to nuclear polyG inclusions. Tracer‐guided in situ cryo‐electron tomography enables cross‐scale structural analysis from mouse brain to native neuronal nuclei, revealing dense‐core/peripheral‐halo inclusions built from compact polyG ribbons.
Hui Dong +13 more
wiley +1 more source
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning [PDF]
Blind and universal image denoising consists of a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time.
El Helou, Majed, Süsstrunk, Sabine
core +3 more sources
A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication [PDF]
The optical power penalty (OPP) due to the artificial light interferences (ALIs) can be significantly high in an indoor optical wireless communication (OWC) channel making such link practically infeasible.
Ghassemlooy, Zabih +5 more
core +1 more source
Preserving Motor Features by Alternative Re‐Referencing to Remove Heart Artifact on the Stentrode
Endovascular brain‐computer interfaces record neural activity from within cerebrovasculature, at the expense of electrocardiogram contamination. Band‐limited independent component analysis separates this heart‐based artifact from task‐relevant neural activity in each frequency band, enabling the reconstruction of cleaner neural recordings without the ...
Ariel K. Feldman +11 more
wiley +1 more source
The interest in using fractional mask operators based on fractional calculus operators has grown for image denoising. Denoising is one of the most fundamental image restoration problems in computer vision and image processing.
Hamid A. Jalab
doaj +1 more source
The study establishes an immune‐cure (ICu) mouse model based on a TMEMed G422TN‐GBM system that faithfully recapitulates human TMEMed GBM. scRNA‐seq analysis reveals a Csmd3+ microglial subset with innate immune memory (IIM) potential that potently suppresses GBM growth, drives a TME cold‐to‐hot transition, and induces 100% ICu in long‐term survival ...
Hai‐Feng Jiang +12 more
wiley +1 more source
Equivariant Denoisers for Image Restoration
One key ingredient of image restoration is to define a realistic prior on clean images to complete the missing information in the observation. State-of-the-art restoration methods rely on a neural network to encode this prior. Moreover, typical image distributions are invariant to some set of transformations, such as rotations or flips.
Renaud, Marien +2 more
openaire +3 more sources
Exposing image forgery through detecting contrast enhancement [PDF]
In this paper, a novel forensic method of exposing cut-and-paste image forgery through detecting contrast enhancement is proposed. We reveal the inter-channel correlation introduced by color image interpolation, and show how a linear or nonlinear ...
Hu, Yongjian +2 more
core

