Results 161 to 170 of about 663,545 (232)
Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI. [PDF]
Wang X.
europepmc +1 more source
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Complex excitability and "flipping" of granule cells: An experimental and computational study. [PDF]
Danielewicz J +5 more
europepmc +1 more source
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng +6 more
wiley +1 more source
Fixed-time adaptive fuzzy command filtering control for a two-joint robotic manipulator with input dead zone saturation and time-varying delay. [PDF]
Cao X, Zhang H, Zhang P.
europepmc +1 more source
By engineering the molecular order and thickness of PDMS layers, we reconcile the stickiness and slipperiness during bubble transport. AFM measurements and MD simulations further reveal how these nanoscale architectures tune hydrophobic interaction FHB and friction force f.
Shishuang Zhang +7 more
wiley +1 more source
Bifurcation and computational analysis of anthracnose virus spread in plants with splashing-rain under hypersensitive response. [PDF]
Faiz K +5 more
europepmc +1 more source
Integrating experimental insights with molecular dynamics simulations, we establish an advanced mathematical model for fluids confined in sub‐10‐nm channels, enabling quantitative prediction of interfacial layer thickness and viscosity by accounting for channel material, temperature, and fluid properties.
Xiang Zhang +3 more
wiley +1 more source
Study on a high precision alignment system with dual cameras. [PDF]
Liu CC, Fang CC, Liu CS.
europepmc +1 more source
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source

