Results 101 to 110 of about 25,655 (286)
Some statistical methods for dimension reduction [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe aim of the work in this thesis is to carry out dimension reduction (DR) for high dimensional (HD) data by using statistical methods for variable ...
Al-Kenani, Ali J Kadhim
core
Sparse Generalized Multiscale Finite Element Methods and their applications
© 2016 by Begell House, Inc. In a number of previous papers, local (coarse grid) multiscale model reduction techniques are developed using a Generalized Multiscale Finite Element Method.
Efendiev, Yalchin +4 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Interpretable STAP Algorithm Based on Deep Convolutional Neural Network
In practical settings, the efficacy of Space-Time Adaptive Processing (STAP) algorithms relies on acquiring sufficient Independent Identically Distributed (IID) samples.
Zhipeng LIAO +4 more
doaj +1 more source
Modified method large sparse unstructured matrices processing on reconfigurable computing systems
При обработке матриц большой размерности c нерегулярной структурой реальная производительность кластерных многопроцессорных вычислительных систем (МВС) невелика и даже с применением специальных методов обработки не превышает 30%. Для эффективной обработки больших матриц с нерегулярной структурой возможно использовать реконфигурируемые вычислительные ...
openaire +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
spam: A Sparse Matrix R Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields
spam is an R package for sparse matrix algebra with emphasis on a Cholesky factorization of sparse positive definite matrices. The implemantation of spam is based on the competing philosophical maxims to be competitively fast compared to existing tools ...
Reinhard Furrer, Stephan R. Sain
core
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang +11 more
wiley +1 more source
System noise poses significant challenges for image quality and data analysis in satellite imaging. This paper addresses the issue of system noise removal in area-array satellite images, highlighting the limitations of existing methods that aggregate ...
Tianzhen Wan, Jun Pan, Mi Wang
doaj +1 more source

