Results 221 to 230 of about 472,437 (333)
A rapid DAS signal classification algorithm based on VMD and IMF power spectrum Gaussian fitting. [PDF]
Liu H, Xu Y, Qi Y, Bi W.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The new wave of ocean industrialization and the challenges for biodiversity conservation in the Mediterranean Sea: the case of the Costa Brava. [PDF]
Lloret J +4 more
europepmc +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
Reliability analysis of subsea pipeline system based on fuzzy polymorphic bayesian network. [PDF]
Liu C +9 more
europepmc +1 more source
A Dual‐Ion Multiphysics Model for Smart and Sustainable Sensors Based on Bacterial Cellulose
Bacterial cellulose (BC), functionalized with ionic liquids (ILs) and conductive polymers, offers promise for sustainable sensor applications. To enable real‐world integration, this work presents the first dual‐carrier, multiphysics white‐box model of mechanoelectric transduction in BC–IL sensors, combining mechanical deformation and ion transport ...
Francesca Sapuppo +7 more
wiley +1 more source
Integrating fiber-optic seismic arrays into earthquake early warning systems with the dEPIC framework. [PDF]
Gou Y, Nof RN, Pardini B, Allen RM.
europepmc +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source

