Results 151 to 160 of about 3,692,894 (287)
Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury Scale. [PDF]
Hartka T +4 more
europepmc +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. [PDF]
Oniani D +8 more
europepmc +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
NEURAL NETWORK MACHINE TRANSLATION IN FOREIGN LANGUAGE TEACHING IN TECHNICAL UNIVERSITY
Background. Mass usage of neural-network machine translation services by students of technical universities when studying foreign languages leads to the necessary changes in the working programme content and teaching instruments.
Irina S. Volegzhanina +1 more
doaj +1 more source
This study investigates the integration of Large Language Models (LLMs) with Fuzzy Match (FM)-augmentation techniques to enhance Neural Machine Translation (NMT) systems.
Moerman, ThomasLW220001805378148020045244780009-0001-6021-8031482336A0-A1A0-11E8-AA84-999A5607D3EF +4 more
core
Literary translation as a three-stage process : machine translation, post-editing and revision
This study focuses on English-Dutch literary translations that were created in a professional environment using an MT-enhanced workflow consisting of a three-stage process of automatic translation followed by post-editing and (mainly) monolingual ...
Vanroy, BramUGent0001615296528020026585439747705382060000-0002-4622-8364C50B0474-7EE0-11E7-B38D-2BA4AD28A064 +19 more
core
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Improving neural machine translation with POS-tag features for low-resource language pairs. [PDF]
Hlaing ZZ +3 more
europepmc +1 more source

