Results 101 to 110 of about 276,101 (306)

Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

, 2019
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total control over the output of the system, the cost of formalising the needed linguistic knowledge is much higher than training a corpus ...
Torregrosa, Daniel, Pasricha, Nivranshu, Chakravarthi, Bharathi Raja, Masoud, Maraim, Alonso, Juan, Casas, Noe, Arcan, Mihael   +6 more
openaire   +3 more sources

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

Advanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers, Maximilian Hausherr, Michel Lim, Karin Schork, Bilhan Karacora, Robin Grugel, Martin Eisenacher, Isabel Gil Aldea, Peter Riederer, Manfred Gerlach, Katrin Marcus   +10 more
wiley   +1 more source

Combined Machine Learning Techniques for Decision Making Support in Medicine [PDF]

, 2016
Computational intelligent support for decision making is becoming increasingly popular and essential among medical professionals. Also, with the modern medical devices being capable to communicate with ICT, created models can easily find practical ...
Stoean, Ruxandra
core  

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

Advanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli, Manel Rodríguez Ripoll, Sabine Schwarz, Ali Erdemir, Maria Clelia Righi, Carsten Gachot   +5 more
wiley   +1 more source

Automated implementation of rule-based expert systems with neural networks for time-critical applications [PDF]

In fault diagnosis, control and real-time monitoring, both timing and accuracy are critical for operators or machines to reach proper solutions or appropriate actions.
Govind, Girish, Huang, Song, Ramamoorthy, P. A.   +2 more
core   +1 more source

Hybrid Approach to English-Hindi Name Entity Transliteration

, 2014
Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue.
Mathur, Shruti, Saxena, Varun Prakash
core   +1 more source

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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Graphene–Catechol Dental Sealant: Antibacterial and Mechanical Evaluation

Advanced Engineering Materials, EarlyView.
This study presents dental sealants made with graphene and L‐DOPA‐modified graphene. L‐DOPA enhances graphene dispersion, improving sealant properties. The material shows antibacterial activity against S. mutans and L. casei, along with high strength and elasticity.
Renata Pereira, Flávio H. B. Aguiar, Rodrigo B. E. Lins, Maria C. A. J. Mainairdi, Bruna G. Silva, Marcela A. Ferretti, Klaus Rischka   +6 more
wiley   +1 more source

Novel Surface‐Based Bézier Metamaterials: A Higher Degree of Parametrization toward Tailoring the Effective Properties under Compression

Advanced Engineering Materials, EarlyView.
Cubic Bézier curves are used in the synthesis of novel surface‐based metamaterials with tunable mechanical properties. Surface‐based geometries are 3D printed and tested in compression. The resulting mechanical properties are correlated to changes in the shape of the base curve, with high potential in energy absorption through the adjustment of their ...
Alberto Álvarez‐Trejo, Enrique Cuan‐Urquizo, Armando Roman‐Flores   +2 more
wiley   +1 more source

Research Progress of Named Entity Recognition Based on Large Language Model [PDF]

Jisuanji kexue yu tansuo
Named entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph. With
LIANG Jia, ZHANG Liping, YAN Sheng, ZHAO Yubo, ZHANG Yawen
doaj   +1 more source