Results 111 to 120 of about 3,692,894 (287)

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

MATEO : MAchine Translation Evaluation Online

, 2023
We present MAchine Translation Evaluation Online (MATEO), a project that aims to facilitate machine translation (MT) evaluation by means of an easy-to-use web interface that can evaluate given machine translations with a battery of automatic metrics.
Vanroy, BramUGent0001615296528020026585439747705382060000-0002-4622-8364C50B0474-7EE0-11E7-B38D-2BA4AD28A064, Popovic, Majaeditor, Brenner, Juditheditor, Nurminen, Maryeditor, Mikhailov, Mikhaileditor, Forcada, Mikeleditor, Alvarez Vidal, Sergieditor, Scarton, Carolinaeditor, Ranasinghe, Tharindueditor, Koponen, Maariteditor, Aranberri, Noraeditor, Parra Escartín, Carlaeditor, Latomaa, Sirkkueditor, Nunziatini, Maraeditor, Tezcan, ArdaLW220020058519838020017673550000-0002-8707-6176E4E9C51C-9502-11E3-A4F6-4F4B11BDE39D, Macken, LieveLW228020002457680000-0001-7516-7487F93DB0F6-F0ED-11E1-A9DE-61C894A0A6B4, Vanmassenhove, Evaeditor, Schierl, Frederikeeditor, Moniz, Helenaeditor   +18 more
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Amharic-arabic Neural Machine Translation

5th International Conference on Data Mining and Applications (DMAP 2019), 2019
Many automatic translation works have been addressed between major European language pairs, by taking advantage of large scale parallel corpora, but very few research works are conducted on the Amharic-Arabic language pair due to its parallel data scarcity.
Ibrahim Gashaw, H. L. Shashirekha
openaire   +2 more sources

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Qualitative analysis of post-editing for high quality machine translation [PDF]

, 2020
In the context of massive adoption of Machine Translation (MT) by human localization services in Post-Editing (PE) workflows, we analyze the activity of post-editing high quality translations through a novel PE analysis methodology.
Senellart, Jean, Schwenk, Holger, Roturier, Johann, Plitt, Mirko, Blain, Frédéric   +4 more
core   +2 more sources

A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case

, 2022
The use of images has been shown to positively affect patient comprehension in medical settings, in particular to deliver specific medical instructions.
Ormaechea Grijalba, Lucia, Bouillon, Pierrette, Mutal, Jonathan, Norré, Magali, Mutal, Jonathan David, 15th Biennial Conference of the Association for Machine Translation in the Americas, Gerlach, Johanna   +6 more
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Combining semantic and syntactic generalization in example-based machine translation [PDF]

, 2011
In this paper, we report our experiments in combining two EBMT systems that rely on generalized templates, Marclator and CMU-EBMT, on an English–German translation task. Our goal was to see whether a statistically significant improvement could be achieved
Way, Andy, Kumar Naskar, Sudip, Ebling, Sarah, Volk, Martin   +3 more
core   +2 more sources