Results 71 to 80 of about 1,135 (244)
CDO-Net: A Distributional Optimization Network for Confidence Maps in Building Segmentation
The geometric precision of building segmentation is frequently bottlenecked not by the feature extraction capabilities of models, but by the crude postprocessing step of binarizing their uncertain confidence map outputs.
Wei Wang +6 more
doaj +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Accurate prediction of binary stock price movements remains a challenging task due to the coexistence of short-term noise and medium-term trend dynamics in financial time series.
Xingwang Zhang, Jiabo Li
doaj +1 more source
Efficient Polarization‐Entangled Photon‐Pair Generation by a Fiber‐In‐Line van der Waals Material
Telecom‐wavelength polarization‐entangled photon pairs are generated in a van der Waals‐material‐integrated all‐fiber device via spontaneous parametric down‐conversion. The demonstrated fiberized quantum light source bridges emerging 2D nonlinear materials and practical quantum photonic systems, opening new opportunities for scalable fiber‐based ...
Jungseok Choi +11 more
wiley +1 more source
Genetic ablation of Cep55 in Pten‐deficient mouse models delays tumorigenesis. Integrated multi‐omics analyses (proteomics, phosphoproteomics, and spatial transcriptomics) reveal that CEP55 regulates oncogenic signaling (RAS/ERK, PI3K/AKT), integrin/FAK‐mediated adhesion, extracellular matrix (ECM) remodeling, and endocytosis.
Behnam Rashidieh +22 more
wiley +1 more source
Redirecting Monocyte Differentiation With Engineered Extracellular Vesicles for Glioma Immunotherapy
A dual‐targeting engineered extracellular vesicles (M1‐CS‐EVs) platform is developed to redirect monocytes differentiation into anti‐tumor macrophages for glioma immunotherapy. This nanoplatform combines CAR‐mediated tumor recognition with localized CD47 blockade, leading to synergistic immune activation and potent suppression of tumor progression in ...
Yuanwei Pan +9 more
wiley +1 more source
TDiff: Thermal Plug-And-Play Prior with Patch-Based Diffusion
Thermal images from low-cost cameras often suffer from low resolution, fixed pattern noise, and other localized degradations. Available datasets for thermal imaging are also limited in both size and diversity. To address these challenges, we propose a patch-based diffusion framework (TDiff) that leverages the local nature of these distortions by ...
Piyush Dashpute +3 more
openaire +2 more sources
Diffusion models as plug-and-play priors
We consider the problem of inferring high-dimensional data $\mathbf{x}$ in a model that consists of a prior $p(\mathbf{x})$ and an auxiliary differentiable constraint $c(\mathbf{x},\mathbf{y})$ on $x$ given some additional information $\mathbf{y}$.
Graikos, Alexandros +3 more
core
A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li +10 more
wiley +1 more source
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent
International audienceThe Plug-and-Play (PnP) framework makes it possible to integrate advanced image denoising priors into optimization algorithms, to efficiently solve a variety of image restoration tasks generally formulated as Maximum A Posteriori ...
Guillemot, Christine +2 more
core +2 more sources

