Results 61 to 70 of about 6,042,098 (320)

Fixel‐Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin   +11 more
wiley   +1 more source

A Unified Framework for Street-View Panorama Stitching

open access: yesSensors, 2016
In this paper, we propose a unified framework to generate a pleasant and high-quality street-view panorama by stitching multiple panoramic images captured from the cameras mounted on the mobile platform.
Li Li   +4 more
doaj   +1 more source

Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping

open access: yesAdvanced Engineering Materials, EarlyView.
Monitoring of hybrid workpieces: when machining hybrid workpieces, unavoidable axial deviations of the material transition zone cause temporal shifts in the process force signals. A new anomaly detection method based on dynamic time warping is proposed to detect material defects.
Berend Denkena   +3 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Split-Attention Multiframe Alignment Network for Image Restoration

open access: yesIEEE Access, 2020
Image registration (or image alignment), the problem of aligning multiple images with relative displacement, is a crucial step in many multiframe image restoration algorithms. To solve the problem that most existing image registration approaches can only
Yongyi Yu   +4 more
doaj   +1 more source

Effect of Water Aging on the Mechanical Properties of Hybrid Carbon/Aramid Reinforced Thermoplastic Composites

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates the mechanical properties of Carbon/Aramid intraply hybrid fiber‐reinforced Elium composites under 6 months of water aging. After aging, flexural strength decreases by 25.89%, tensile strength by 4.40%, and fracture toughness by 21.56%.
Muhammed Huseyin Guzel, Gurol Onal
wiley   +1 more source

Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller   +5 more
wiley   +1 more source

Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu   +3 more
wiley   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

open access: yesAdvanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh   +4 more
wiley   +1 more source

Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2013
In this paper we used non parametric density estimator (Kernel Estimator) to estimate probability density function for Image data of Hand Gesture and warping Hand Gesture and we see the curve for Kernel Estimator and combine the curve between Kernel ...
Ban Mitras, AAlA Mohammed
doaj   +1 more source

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