Results 91 to 100 of about 1,008,663 (311)
IEEE Access, 2020 A convolutional autoencoder is an essential deep neural model architecture for understanding and predicting large-scale and widespread multi-dimensional information such as remote sensing imagery.
Seungkyun Hong, Sa-Kwang Song
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Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components
Advanced Engineering Materials, EarlyView.This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern +3 more
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Advanced Engineering Materials, EarlyView.Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec +6 more
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
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Advanced Engineering Materials, EarlyView.Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
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Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data
Photoacoustics, 2020 Medical image reconstruction methods based on deep learning have recently demonstrated powerful performance in photoacoustic tomography (PAT) from limited-view and sparse data.
Tong Tong +7 more
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Advanced Engineering Materials, EarlyView.Previous studies on additive manufacturing primarily focus on the mechanical properties of as‐printed components. In the present work, researchers explore the potential of employing novel thermomechanical postprocessing techniques to improve the microstructure after printing.
Radim Kocich +3 more
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Diffusion Model With Gradient Descent Module Guiding Reconstruction for Single-Pixel Imaging
IEEE Photonics JournalReconstructing high-quality images with few measurements has always been a primary goal for single-pixel imaging (SPI). Diffusion models have shown outstanding performance in image generation and have been effectively attempted in image reconstruction ...
Chen Huang +5 more
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Advanced Engineering Materials, EarlyView.Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder +6 more
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White-light reconstruction of holographic images using transmission holograms recorded with conventionally-focused images and ‘in-line’ background [PDF]
, 1966 George W. Stroke
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