Results 161 to 170 of about 12,807,756 (320)
Differential effects of cognitive training and aerobic exercise on regional gray matter volume and inter-regional covariance in community-dwelling older adults. [PDF]
Jiang L +8 more
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Dual-axis myelination covariance drives the functional connectivity emergence during infancy. [PDF]
Liu W +9 more
europepmc +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Learning Nonlinear Dynamics of Flexible Structures for Predictive Control Using Gaussian Process NARX Models. [PDF]
Alqahtani NA.
europepmc +1 more source
Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
Jianqing Fan, Tao Huang, Runze Li
semanticscholar +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Partial Covariance-Based Detectors for Cooperative Spectrum Sensing in Cognitive Communications. [PDF]
Guimarães DA.
europepmc +1 more source
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source

