Results 261 to 270 of about 123,216 (308)
Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao +7 more
wiley +1 more source
Physics-consistent denoising of full-field photoacoustic displacement maps using an adaptive residual attention network. [PDF]
Awais M, Yoon T, Choi W, Lee BH.
europepmc +1 more source
We present an organic–inorganic heterostructure transistor array for neuromorphic computing, achieving 95.6% MNIST accuracy and 1.2 fJ per operation, with dynamic spatiotemporal encoding and precise vehicle direction detection under combined optical and electrical stimulation.
Wen‐Min Zhong +13 more
wiley +1 more source
Pocket-Surface Discrete Differential Geometry as a Leakage-Robust Feature Class for Protein-Ligand Binding Affinity Prediction. [PDF]
Balcı MA +3 more
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Hierarchical PP–LSR107–BaTiO3 nanocomposite films are fabricated by one‐step extrusion and stretching for roll‐to‐roll manufacture, combining high energy storage and processing flexibility. LSR107 surrounds BaTiO3‐rich regions, locating amorphous PP, decreasing defects, and introducing deep traps that homogenize the electric field and suppress charge ...
Yi Gao +14 more
wiley +1 more source
Non-cascade random walks in solid-state high harmonic generation. [PDF]
Zuo Z +7 more
europepmc +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. T. Alodat, Mohammad Y. Al-Rawwash
exaly +3 more sources
Advances in Gaussian random field generation: a review
Gaussian (normal) distribution is a basic continuous probability distribution in statistics, it plays a substantial role in scientific and engineering problems that related to stochastic phenomena.
Shuyu Sun, Sun Shuyu
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The effect of a zero-centered Gaussian random magnetic field distribution on the phase transition properties of the anisotropic quantum Heisenberg model has been investigated on a honeycomb lattice within the framework of effective field theory (EFT) for
Umit Akinci
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Fitting Gaussian Markov Random Fields to Gaussian Fields
Scandinavian Journal of Statistics, 2001This paper discusses the following task often encountered in building Bayesian spatial models: construct a homogeneous Gaussian Markov random field (GMRF) on a lattice with correlation properties either as present in some observed data, or consistent with prior knowledge.
Rue, Håvard, Tjelmeland, Håkon
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