Results 121 to 130 of about 36,871 (305)
A regularization model with adaptive diffusivity for variational image denoising
, 2019 In this paper, motivated by approximating the Euler-Lagrange equation of the pth-order regularization for 0
Po-Wen Hsieh +3 more
core +1 more source
Advanced Science, EarlyView.ANKS1B in the nucleus accumbens plays a critical role in the transition from controlled to escalated cocaine intake. Mechanistically, ANKS1B interacts with CBP to epigenetically suppress FoxO3 through H3K27 acetylation. The ANKS1B‐CBP‐FoxO3 signaling cascade presents a novel theraputic target for the treatment of cocaine addiction.
Liping Yang +15 more
wiley +1 more source
Evolutionary multifractal signal/image denoising [PDF]
, 2007 This chapter investigates the use of Evolutionary techniques for multifractal signal/image denoising. Two strategies are considered: using evolution as a pure stochastic optimiser, or using interactive evolution for a meta-optimisation task.
Lévy Véhel, Jacques, Lutton, Evelyne
core
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
, 2018 <p>We introduce a paradigm for nonlocal sparsity reinforced deep convolutional neural network denoising. It is a combination of a local multiscale denoising by a convolutional neural network (CNN) based denoiser and a nonlocal denoising based on a ...
Cruz, Cristovao +3 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising
, 2019 Segmentation and denoising of signals often rely on the polynomial model which assumes that every segment is a polynomial of a certain degree and that the segments are modeled independently of each other.
Pavel Rajmic +5 more
core +1 more source
Advanced Science, EarlyView.Mid‐infrared photothermal imaging enables multidimensional profiling of micro‐ and nanoplastics in bottled water. A total of 9.9 × 104 particles L−1 is detected, with 64% in the nanoscale regime. Spectral evolution, including peak narrowing and band shifts, reveals local chain reorganization in polyethylene terephthalate (PET), highlighting intrinsic ...
Xinyu Deng +4 more
wiley +1 more source
Advanced Science, EarlyView.We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source
MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion
Advanced Science, EarlyView.ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong +9 more
wiley +1 more source