Results 51 to 60 of about 366,433 (291)

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference

Remote Sensing
Reliable identification of spatial parameters for multiple-input multiple-output (MIMO) systems, such as the number of transmit antennas (NTA) and the direction of arrival (DOA), is a prerequisite for MIMO signal separation and detection.
Junlin Zhang, Zihui Shi, Yunfei Chen, Mingqian Liu   +3 more
doaj   +1 more source

No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion

Entropy, 2020
Image quality assessment (IQA) aims to devise computational models to evaluate image quality in a perceptually consistent manner. In this paper, a novel no-reference image quality assessment model based on dual-domain feature fusion is proposed, dubbed ...
Yueli Cui
doaj   +1 more source

Monogenic Gaussian distribution in closed form and the Gaussian fundamental solution

, 2009
In this paper we present a closed formula for the CK-extension of the Gaussian distribution in $\mathbb R^m$, and the monogenic version of the holomorphic function $\exp(z^2/2)/z$ which is a fundamental solution of the generalized Cauchy-Riemann ...
Peña, Dixan Peña, Sommen, Frank
core   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Signal Detection in Generalized Gaussian Distribution Noise With Nakagami Fading Channel

IEEE Access, 2019
A fractional order moments-based detector is proposed for the detection of weak signals in additive impulsive noise environment assumed as generalized Gaussian distribution with properly selected parameter values.
Xiaomei Zhu, Tianjing Wang, Yaping Bao, Fangqiang Hu, Sen Li   +4 more
doaj   +1 more source

Universal interface width distributions at the depinning threshold

, 2003
We compute the probability distribution of the interface width at the depinning threshold, using recent powerful algorithms. It confirms the universality classes found previously.
A. Rosso, A. Rosso, A. Rosso, A. Rosso, Alberto Rosso, D.S. Fisher, E. Marinari, G. Foltin, H. Leschhorn, J. Vannimenus, J.P. Bouchaud, Jean Vannimenus, Kay Jörg Wiese, M. Kardar, M. Plischke, O. Narayan, P. Chauve, P. Le Doussal, P. Le Doussal, P. Le Doussal, Pierre Le Doussal, S.T. Bramwell, S.V. Buldyrev, T. Antal, T. Antal, T. Nattermann, Werner Krauth, Z. Rácz   +27 more
core   +1 more source

Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions

Journal of Computational and Graphical Statistics, 2023
Sampling from matrix generalized inverse Gaussian (MGIG) distributions is required in Markov Chain Monte Carlo (MCMC) algorithms for a variety of statistical models. However, an efficient sampling scheme for the MGIG distributions has not been fully developed.
Hamura, Yasuyuki, Irie, Kaoru, Sugasawa, Shonosuke   +2 more
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Non-Gaussian fluctuations in stochastic models with absorbing barriers

, 2011
The dynamics of a one-dimensional stochastic model is studied in presence of an absorbing boundary. The distribution of fluctuations is analytically characterized within the generalized van Kampen expansion, accounting for higher order corrections beyond
C. Cianci, D. Fanelli, F. Di Patti, Gardiner C. W., van Kampen N. G.   +4 more
core   +1 more source