Results 131 to 140 of about 362,031 (306)
Chart-based transfer rule application in Machine Translation [PDF]
Adam Meyers +2 more
openalex +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
ARABIC-MALAY MACHINE TRANSLATION USING RULE-BASED APPROACH [PDF]
Ahmed Jumaa Alsaket +1 more
openalex +1 more source
Binary Semantic Pattern Rules for Chinese-English Machine Translation Based on Machine Learning Algorithms [PDF]
Juan Diego Zamudio Padilla, Liuqin Wang
openalex +1 more source
Functional Hydrogel for Modulating Lipid Droplets and Neuroinflammation in Head Injury
After TBI, elevated cholesterol levels in activated microglia lead to the accumulation of cholesterol esters in lipid droplets, exacerbating neuroinflammation. A β‐cyclodextrin‐conjugated GelMA (βCD‐GelMA) hydrogel is developed to promotes cholesterol efflux and reduces LDL influx, thereby alleviating intracellular cholesterol and lipid droplet buildup.
Feixiang Chen +9 more
wiley +1 more source
As the prevalence of machine-written texts grows, it has become increasingly important to distinguish between human- and machine-generated content, especially when such texts are not explicitly labeled.
Simon Strübbe +2 more
doaj +1 more source
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu +6 more
wiley +1 more source
Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review
Machine translation (MT) for low-resource languages continues to face significant challenges because of limited digital resources and parallel corpora, despite remarkable developments in neural machine translation (NMT).
Taofik O. Tafa +8 more
doaj +1 more source
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
A web-based translation service at the UOC based on Apertium [PDF]
—In this paper, we describe the adaptation process of Apertium, a free/open-source rule-based machine translation platform which is operating in a number of different real-life contexts, to the linguistic needs of the Universitat Oberta de Catalunya ...
Gema Ramírez +3 more
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