Geographical Origin Identification of <i>Dendrobium officinale</i> Using Variational Inference-Enhanced Deep Learning. [PDF]
Liu C, Cao F, Diao Y, He Y, Cai S.
europepmc +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Multi-visual pattern mining algorithm based on variational inference Gaussian mixture and pattern activation response map model. [PDF]
Zhang Z, Chen P, Liu Y, He Y.
europepmc +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. [PDF]
Piriyakulkij WT, Wang Y, Kuleshov V.
europepmc +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Variational inference for microbiome survey data with application to global ocean data. [PDF]
Mishra A +4 more
europepmc +1 more source
In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal +4 more
wiley +1 more source
A scalable variational inference approach for increased mixed-model association power. [PDF]
Loya H +3 more
europepmc +1 more source
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference. [PDF]
Steinbrener J, Posch K, Pilz J.
europepmc +1 more source

