Results 71 to 80 of about 11,872,577 (297)

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Physics-guided dual implicit neural representations for source separation

Machine Learning: Science and Technology
Significant challenges exist in efficient data analysis of most advanced experimental and observational techniques because the collected signals often include unwanted contributions, such as background and signal distortions, that can obscure the ...
Yuan Ni, Zhantao Chen, Alexander N Petsch, Edmund Xu, Cheng Peng, Alexander I Kolesnikov, Sugata Chowdhury, Arun Bansil, Jana B Thayer, Joshua J Turner   +9 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Query by low-quality image

, 2009
The motivation for research on low-quality images comes from a requirement by some museums to respond to queries for pictorial information, submitted in the form of fax messages or other low-quality monochrome images of works of art.
Fauzi, Mohammad Faizal Ahmad, Lewis, Paul H.   +1 more
core   +1 more source

Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]

, 2007
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT, Achim, AM, Canagarajah, CN, Bull, DR   +3 more
core   +1 more source

THE PROBLEM OF CONTOURS IN TRANSFORM IMAGE CODING [PDF]

, 2008
Object contours contribute to a large extent to the perceived quality of an image but are typically quite hard to compress. As a matter of facts, many coding algorithms fail to describe efficiently this information.
Parrilli, Sara
core   +1 more source

A pixel-level entropy-weighted image fusion algorithm based on bidimensional ensemble empirical mode decomposition

International Journal of Distributed Sensor Networks, 2018
The bidimensional empirical mode decomposition algorithm is more suitable to handle image fusion than the traditional multi-scale decomposition methods in the image fusion area.
Pei Wang, Hui Fu, Ke Zhang
doaj   +1 more source

Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding

IEEE Access, 2018
This paper proposes a detail-preserving image denoising method via cluster-wise progressive principal component analysis (PCA) thresholding based on the Marchenko-Pastur (MP) law in random matrix theory.
Wenzhao Zhao, Yisong Lv, Qiegen Liu, Binjie Qin   +3 more
doaj   +1 more source

High‐Temperature Phase Transformation in a V‐9Si‐6.5B Alloy: The Kinetic and Crystallographic Pathway From V5SiB2 to V8SiB4

Advanced Engineering Materials, EarlyView.
In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti, Andreas Stark, Roja Rani Korrayi, Florian Pyczak, Georg Hasemann   +4 more
wiley   +1 more source