Results 111 to 120 of about 2,701,740 (294)

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Capacities of erasure networks

, 2008
textWe have investigated, in various multiple senses, the “capacity” of several models of erasure networks. The defining characteristic of a memoryless erasure network is that each channel between any two nodes is an independent erasure channel.
Smith, Brian Matthew, 1975-
core  

XRootD Erasure Coding Repair Tool

, 2022
The XRootD project is a remote data access solution for high performance and scalability demands. The data storage on the cluster can exploit a striping technique called Erasure Coding that distributes files over multiple hosts.
Lohmann, Niklas
core  

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Ising Solver Using Vertical NAND Flash Memory

Advanced Intelligent Systems, EarlyView.
Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park, Yeongheon Yang, Jong‐Won Back, Jiseong Im, Ryun‐Han Koo, Jonghyun Ko, Dongseok Kwon, Jong‐Ho Lee   +7 more
wiley   +1 more source

Blockchain sharding storage scheme based on concatenated coding

Tongxin xuebao
Traditional blockchain faces the challenge of storage scalability. Existing research has reduced the storage overhead of blockchain based on erasure coding theory, but it brings high computational and communication spending during the decoding and ...
TIAN Youliang, HUANG Yuqing, WANG Shuai
doaj   +2 more sources

On Repairing Erasure Coded Data in an Active-Passive Mixed Storage Network

, 2015
Networked distributed storage systems (NDSS) use erasure codes in lieu of replication for realising data redundancy. An interesting research challenge is to derive the largest advantage from the trade–offs between storage overhead and reliability that ...
Anwitaman Datta, Datta, Anwitaman, Oggier, Frédérique, Frédérique Oggier   +3 more
core   +1 more source

Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells

Advanced Intelligent Systems, EarlyView.
Replicating physiological forces is crucial for realistic cell models. Dielectric elastomer actuators (DEAs) offer a soft alternative, though their high voltages raised toxicity concerns. We demonstrate that DEA stimulation causes no cell damage, cell death or cell‐cycle disruption, while activating mechanosensitive responses.
Simon Holzer, Chaimae Bahou, Noe Syfrig, Katia Monastyrskaya, Yoan Civet, Ali Hashemi Gheinani, Yves Perriard   +6 more
wiley   +1 more source