Results 41 to 50 of about 2,383 (165)
Data-Driven Development of Three-Dimensional Subsurface Models from Sparse Measurements Using Bayesian Compressive Sampling: A Benchmarking Study [PDF]
, 2023 With the rapid development of computing and digital technologies recently, three-dimensional (3D) subsurface models for accurate site characterization have received increasing attention, for example, with various data-driven methods developed for 3D ...
Wang, Yu, Hu, Yue, Lyu, Borui
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Engineering Reports, Volume 8, Issue 4, April 2026.The “E‐FEMU‐F loss” as a function of full‐field displacements, constitutive parameters, and “Admissible Elemental Internal Forces” (AEIFs). AEIFs are constructed from measured (integrated) external forces and optimized analytically, while constitutive parameters are inferred numerically to minimize the E‐FEMU‐F loss.
Abbas Jafari +2 more
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An active learning reliability analysis method using adaptive Bayesian compressive sensing and Monte Carlo simulation (ABCS-MCS) [PDF]
, 2022 Response surface methods (RSMs) have been developed to improve the efficiency of reliability analysis for computationally time-consuming systems.
Li, Peiping, Wang, Yu
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Modeling Polymeric Drug Release: The Emerging Role of Machine Learning
WIREs Nanomedicine and Nanobiotechnology, Volume 18, Issue 2, March/April 2026.A review of mechanistic, empirical, and machine learning (ML) approaches for modeling drug release from polymeric systems, highlighting how data‐driven methods uncover relationships between formulation parameters and release behavior to guide future drug delivery design.
Ryan N. Woodring, Kristy M. Ainslie
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A Chaotic Compressive Sensing‐Based Secure Device‐to‐Device Communication
IET Communications, Volume 20, Issue 1, January/December 2026.This research proposes the construction of a single combined measurement matrix built from two discrete chaotic sequences for enhanced randomness in the data. Additionally, a separate chaotic system is used in a novel way to construct orthogonal matrices. ABSTRACT The need for secure information exchange is increasingly felt with an exponential rise in
Muhammad Irfan +3 more
wiley +1 more source
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring [PDF]
, 2014 In structural health monitoring (SHM) systems for civil structures, massive amounts of data are often generated that need data compression techniques to reduce the cost of signal transfer and storage, meanwhile offering a simple sensing system ...
Beck, James L. +3 more
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Progressive compressive sensing for exploiting frequency-diversity in GPR imaging [PDF]
, 2018 International audienceThe microwave imaging of buried targets from wide-band ground penetrating radar (GPR) signals is addressed. By considering a contrast source inversion (CSI) formulation of the inverse scattering equations and taking advantage of ...
Gelmini, Angelo +9 more
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Self‐Attention Mechanism Aided Bayesian Compressed Sensing for Distributed Compressive Sensing
Electronics Letters, Volume 62, Issue 1, January/December 2026.The proposed algorithm and experimental results on the MNIST dataset. ABSTRACT This letter addresses the joint sparse recovery (JSR) problem with multiple measurement vectors (MMV) in compressive sensing (CS). Be aware of the limitations of the model‐driven methods and the advantages of the latest data‐driven approaches; the authors transform the MMV ...
Feng Shu, Linghua Zhang, Qin Cheng
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A new algorithm for power metering based on Bayesian compressive sensing and FFT
Diance yu yibiaoThe presence of harmonic and inter-harmonic components in grid voltage and current signals produces energy that variably impacts different electrical devices, making it imperative to meter these components separately.
LIU Jian +6 more
doaj +1 more source
A Novel Hybrid Domain Algorithm for Planar Near‐Field Millimetre‐Wave SAR Imaging
Electronics Letters, Volume 62, Issue 1, January/December 2026.ABSTRACT In the field of near‐field millimetre‐wave synthetic aperture radar (SAR) imaging, the typical range migration algorithm (RMA) and the current hybrid domain algorithm (HDA) are limited by the sidelobe and noise level. In this letter, a novel hybrid domain algorithm is proposed to improve the reconstruction performance.
Xiangxin Meng, Kai Yu, Bingxi Gao
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