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Results 171 to 180 of about 5,161,693 (301)

Density Measurement of Irradiated and Nonirradiated Zirconium Oxide by Ptychographic X‐Ray Computed Tomography (PXCT)

Advanced Engineering Materials, EarlyView.
Mass density governs the protective behavior of oxide layers on nuclear fuel cladding. Ptychographic X‐ray computed tomography measures zirconium oxide grown on Zircaloy‐4 under reactor and autoclave conditions, revealing nearly identical bulk densities of 5.1 ± 0.80 g cm−3.
Okan Yetik +9 more
wiley +1 more source

Multi-omics network inference with a Gaussian copula model. [PDF]

BMC Bioinformatics
Tomilina E, Mazo G, Jaffrézic F.
europepmc +1 more source

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

Advanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source

Spatially varying gene regulation network inference from spatial transcriptomics. [PDF]

Bioinform Adv
Li Y, Chen J, Lu T, Tsai NP, Wang H.
europepmc +1 more source

Inference and Learning in Networks of Queues.

, 2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The most popular performance models are networks of queues. However, no current methods exist for parameter estimation or inference in networks of queues with missing data.
Sutton, Charles, Jordan, Michael I.
openaire +2 more sources

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

Advanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel, Prashant K. Purohit, Jordan R. Raney +2 more
wiley +1 more source

IAGRN: An Interleaved-Attention Graph Neural Network for Gene Regulatory Network Inference. [PDF]

Int J Mol Sci
Wang Y, Tian S, Li D.
europepmc +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source

A comprehensive survey on graph neural networks for gene regulatory network inference. [PDF]

Brief Bioinform
Jamal Alkhateeb N, Awad M.
europepmc +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source

gene regulatory network
machine learning
complex networks

time series data