Results 1 to 10 of about 59,289 (169)
Frontiers in Energy Research, 2022 It is imperative to accurately predict the remaining useful life (RUL) of lithium-ion batteries to ensure the reliability and safety of related industries and facilities.
Wangyang Hu, Shaishai Zhao
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Modelling Transformative Education [PDF]
FORUM, 2019 This article is a call to rebalance and broaden contemporary education to include a focus on both conformity and transformation. It includes an overview of three different models of education, relating to different educational purposes. Two emphasise conformity in knowledge acquisition – 'mastering knowledge' and 'discovering knowledge' – as well as a
Webb, Rebecca, Kirby, Perpetua
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Conditional Transformation Models [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013 SummaryThe ultimate goal of regression analysis is to obtain information about the conditional distribution of a response given a set of explanatory variables. This goal is, however, seldom achieved because most established regression models estimate only the conditional mean as a function of the explanatory variables and assume that higher moments are
Hothorn, Torsten +2 more
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Chaining model transformations [PDF]
Proceedings of the First Workshop on the Analysis of Model Transformations, 2012 Model transformation is one of the key practices of Model-Driven Engineering. Building very large model transformations may benefit from the construction of small transformations , in order to manage complexity and enhance reusabil-ity, maintainability and modularity.
Etien, Anne +3 more
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Improvement of transformer summary generation model integrating pointer network
Xi'an Gongcheng Daxue xuebao, 2022 The traditional Encoder-Decoder model with attention mechanism has such problems as text redundancy, inconsistent representation and out of vocabulary (OOV) in the application of the summary task, resulting in low accuracy of the generated summary.
LI Weiqian, PU Chenglei
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Research on an English translation method based on an improved transformer model
Journal of Intelligent Systems, 2022 With the expansion of people’s needs, the translation performance of traditional models is increasingly unable to meet current demands. This article mainly studied the Transformer model.
Li Hongxia, Tuo Xin
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Formalizing model transformation patterns
Journal of Software: Evolution and Process, 2022 AbstractModel transformation has become an established field, and it is important to improve the quality of specifications written in transformation languages. Different transformation patterns have been introduced in the model‐driven engineering (MDE) community to improve the quality of transformation specifications.
Alireza Rouhi +2 more
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A study on automatic correction of English grammar errors based on deep learning
Journal of Intelligent Systems, 2022 Grammatical error correction (GEC) is an important element in language learning. In this article, based on deep learning, the application of the Transformer model in GEC was briefly introduced.
Qin Mengyang
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IEEE Access, 2023 The driver’s mental workload is closely related to driving safety. However, how to analyze the driver’s mental workload in a reasonable and correct manner remains an open question. As an important factor to evaluate mental workload, changes
Wanyu Wei +4 more
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A Transformer Design for High-Voltage Application Using LLC Resonant Converter
Energies, 2023 The inductor–inductor–capacitor (LLC) resonant converter is a suitable topology for wide output voltage and load range applications with limited circuit parameters.
Umut Ondin, Abdulkadir Balikci
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