Results 151 to 160 of about 11,782,843 (259)

Efficient real-world image denoising using multi-scale gaussian pyramids

Scientific Reports
The field of image denoising has undergone significant advancements over the years. Recently, Convolutional Neural Networks (CNN) based denoising methods have shown remarkable performance in image denoising.
Asha Rani, Rosepreet Kaur Bhogal
doaj   +1 more source

ENHANCED K-SVD ALGORITHM FOR IMAGE DENOISING [PDF]

, 2012
ENHANCED K-SVD ALGORITHM FOR IMAGE DENOISING
ALFIANSYAH, REZA, , En, JUNIUS, EDWIN
core  

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source

Sonogenetic Control of Engineered Probiotics for the Treatment of MASH by Modulating the Gut‐Liver Axis

Advanced Science, EarlyView.
Researchers developed an engineered probiotic encapsulated in an inulin hydrogel, enabling ultrasound‐triggered intestinal delivery of IL‐22. In MASH model mice, this system remodeled gut microbiota, strengthened the intestinal barrier and reduced portal LPS and hepatic IL‐6.
Chunya Ji, Yan Fang, Shen Zhang, Weichen Xu, Wenyun Guo, Jing Chen, Mingrui Zhu, Congjian Wen, Siming Chen, Yuli Zhu, Huixiong Xu, Haohao Yin   +11 more
wiley   +1 more source

Shift-invariant wavelet denoising using interscale dependency

, 2004
Using statistical modeling in the wavelet domain, we address the problem of image denoising. Despite being effective, the denoised images can suffer from the Gibbs-like artifacts, like ringing around the edges and speckles in the smooth regions.
Chen, P., Suter, David, Chen, Pei, Suter, D.   +3 more
core  

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

LigHTS: Biomimetic Hydrogel Photo‐Fabrication for Imaging‐Based Ultra‐High‐Throughput Screening

Advanced Science, EarlyView.
LigHTS removes a key bottleneck for ultra‐high‐throughput screening (UHTS) by enabling biomimetic hydrogel microenvironments to be manufactured directly in standard multiwell plates. A single, collimated UV exposure with formulation‐tuned light penetration patterns an entire plate with UHTS‐grade uniformity (<20% CV), producing structured GelMA films ...
Alessandro Enrico, Sara Rigolli, Julius Zimmermann, Melissa Pezzotti, Eloisa Torchia, Moises Di Sante, Ferdinando Auricchio, Francesco S. Pasqualini   +7 more
wiley   +1 more source

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

Advanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues, Andrea Grimaldi, Deborah Volpe, Youwei Bao, Shuhan Yang, Eleonora Grassucci, Giulio Siracusano, Massimo Chiappini, Mario Carpentieri, Hyunsoo Yang, Giovanni Finocchio   +10 more
wiley   +1 more source

Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging

Advanced Science, EarlyView.
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung, Hongseok Kim, Seungjae Heo, Jin Tae Moon, Jangwoo Ko, Panithan Sriboriboon, Dong‐Gyu Lee, Sanghyun Jo, Hee Han, Jungho Ryu, Woo Lee, Jinseong Heo, Hyun‐Cheol Song, Yunseok Kim   +13 more
wiley   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source