Results 151 to 160 of about 346,567 (317)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

open access: yesDemonstratio Mathematica, 2001
Let \({\mathbf X}_d=(X_1,\dots, X_d)\) denote a \(d\)-dimensional r.v., the density of which is a product of a nonnegative polynomial in \(x_1\) and a \(d\)-dimensional Gaussian density. \({\mathbf X}_d\) has a \(d\)-dimensional polynomial-Gaussian distribution \((\text{PGD}_d)\).
Plucińska, Agnieszka, Bisińska, Monika
openaire   +2 more sources

On the Csorgo-Révész increments of finite dimensional Gaussian random fields [PDF]

open access: yes
In this paper, we establish some limit theorems on the combined Csorgo-Révész increments with moduli of continuity for finite dimensional Gaussian random fields under mild conditions, via estimating upper bounds of large deviation probabilities on ...
Kyo-Shin Hwang   +3 more
core  

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

open access: yesAdvanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi   +3 more
wiley   +1 more source

COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA

open access: yesMedia Statistika
Analysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation.
Mastika Mastika   +2 more
doaj   +1 more source

Characteristic function estimation of non-Gaussian Ornstein-Uhlenbeck processes. [PDF]

open access: yes
Continuous non-Gaussian stationary processes of the OU-type are becoming increasingly popular given their flexibility in modelling stylized features of financial series such as asymmetry, heavy tails and jumps.
Emanuele Taufer
core  

Estimating sensitivity indices based on Gaussian process metamodels with compactly supported correlation functions

open access: yes
Specific formulae are derived for quadrature-based estimators of global sensitivity indices when the unknown function can be modeled by a regression plus stationary Gaussian process using the Gaussian, Bohman, or cubic correlation functions.
Svenson, Joshua   +3 more
core   +1 more source

Reconfigurable Logic‐in‐Memory Operations Enabled by Triple‐Gated Feedback Field‐Effect Transistors for Area‐Efficient Computing

open access: yesAdvanced Engineering Materials, EarlyView.
A reconfigurable logic‐in‐memory cell composed of triple‐gated feedback field‐effect transistors implements multiple combinational logic functions within a single configuration. By utilizing program gates as dynamic input terminals, the proposed cell performs full adder, full subtractor, 2‐to‐1 multiplexer, and 4‐to‐2 encoder operations without ...
Minhyeok Seol   +5 more
wiley   +1 more source

Non-Gaussian Process Dynamical Models

open access: yesIEEE Open Journal of Signal Processing
Probabilistic dynamical models used in applications in tracking and prediction are typically assumed to be Gaussian noise driven motions since well-known inference algorithms can be applied to these models. However, in many real world examples deviations
Yaman Kindap, Simon Godsill
doaj   +1 more source

Triple Junctions as Dislocation‐Like Defects: The Role of Grain Boundary Crystallography Revealed by Experiment and Atomistic Simulation

open access: yesAdvanced Engineering Materials, EarlyView.
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink   +4 more
wiley   +1 more source

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