Multi-modal weighted quadratic priors for robust intensity independent synergistic PET-MR reconstruction [PDF]
, 2017 We propose a simple and robust synergistic PET-MR reconstruction algorithm using mutually-weighted quadratic priors. Maximum a-posteriori (MAP) objective functions were used for PET and MR reconstructions, including MAP expectation maximization (MAPEM ...
Belzunce, Martin A.; id_orcid +5 more
core +3 more sources
Operational modal analysis from flight test data
, 2013 In the framework of the operational modal analysis (OMA), several approaches have been developed for estimating the modal parameters, i.e., natural frequencies, damping ratios, and mode shapes.
COPPOTELLI, Giuliano +2 more
core
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators
Advanced Engineering Materials, EarlyView.A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad +6 more
wiley +1 more source
Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique
Sensors, 2019 We present a deep learning method used in conjunction with dual-modal microwave-ultrasound imaging to produce tomographic reconstructions of the complex-valued permittivity of numerical breast phantoms. We also assess tumor segmentation performance using
Vahab Khoshdel +2 more
doaj +1 more source
In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy
Advanced Engineering Materials, EarlyView.A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal +4 more
wiley +1 more source
Cross-Modal Reconstruction for Tactile Signal in Human-Robot Interaction. [PDF]
Sensors (Basel), 2022 Chen M, Xie Y.
europepmc +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
Data-Driven Method of Modeling Sparse Flow Field Data
Shanghai Jiaotong Daxue xuebaoReal-time perception and prediction of flow field have very important application value in aviation and navigation, and pose challenges such as high flow field dimension and less real-time measurement information.
WANG Hongxin, XU Degang, ZHOU Kaiwen, LI Linwen, WEN Xin
doaj +1 more source
Cross-Modality UAV Thermal Images Super-Resolution Algorithm Based on Mamba [PDF]
Hangkong bingqiObjective Unmanned aerial vehicle （UAV） platform equipped with sensors has become an essential technical support in fields such as object detection， trajectory tracking， and military technology.
Gao Song, Zhou Bingchan, Jia Miao, Ma Qihui, Jin Xin, Wang Huan
doaj +1 more source