Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kungan Zeng"'
Publikováno v:
Navigation, Vol 71, Iss 4 (2024)
Signals from global navigation satellite systems (GNSSs) in urban areas suffer from serious multipath errors caused by building blockages and reflections. The use of deep neural networks offers great potential for predicting and eliminating complex m
Externí odkaz:
https://doaj.org/article/00f723dec9484b928210b9bc6e62afc6
Semantic Service Clustering With Lightweight BERT-Based Service Embedding Using Invocation Sequences
Autor:
Kungan Zeng, Incheon Paik
Publikováno v:
IEEE Access, Vol 9, Pp 54298-54309 (2021)
Service clustering is an efficient method for facilitating service discovery and composition. Traditional approaches based on the self-description documents for services usually utilize service signatures. In Web service composition, service clusteri
Externí odkaz:
https://doaj.org/article/a2885d82e4b64045bb6a3e3ae2137b74
Publikováno v:
Proceedings of the 2023 International Technical Meeting of The Institute of Navigation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490863dccc98c3d120709dea427d56cd
https://doi.org/10.33012/2023.18657
https://doi.org/10.33012/2023.18657
Publikováno v:
2022 IEEE 25th International Conference on Computational Science and Engineering (CSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29beee30c2a6901e2ca61a70040afd9f
https://doi.org/10.1109/cse57773.2022.00019
https://doi.org/10.1109/cse57773.2022.00019
Publikováno v:
Knowledge-Based Systems. 260:110123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b7ca24e626407aaf15ee5715480cd2
https://doi.org/10.1016/j.knosys.2022.110123
https://doi.org/10.1016/j.knosys.2022.110123
Autor:
Kungan Zeng, Incheon Paik
Publikováno v:
2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9688ad35fea6fe0c5cd703e5ec04f4f
https://doi.org/10.1109/mcsoc51149.2021.00035
https://doi.org/10.1109/mcsoc51149.2021.00035
Publikováno v:
AICCC
Although Lexical ambiguity, i.e., the presence of two or more meanings for a single word, is an inherent and challenging problem for machine translation systems. Even though the use of recurrent neural networks (RNN) and attention mechanisms are expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d757c16106900099842dbf177291dbee
https://doi.org/10.1145/3442536.3442544
https://doi.org/10.1145/3442536.3442544
Autor:
Kungan Zeng, Incheon Paik
Publikováno v:
iCAST
Neural machine translation (NMT) goes through rapid development because of the application of various deep learning techs. Especially, how to construct a more effective structure of NMT attracts more and more attention. Transformer is a state-of-the-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e69f5defc9ac3bdad915058b6395003
https://doi.org/10.1109/icast51195.2020.9319489
https://doi.org/10.1109/icast51195.2020.9319489
Autor:
Kungan Zeng, Incheon Paik
Publikováno v:
BigDataSE
Web service composition can provide value-added services and can satisfy consumers with complex functionality. In Web service composition, the common method is to collect suitable services from a large Web service repository and assemble them based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7701d5fe0f7b3ec874a6d8ee9ff4a05c
https://doi.org/10.1109/bigdatase50710.2020.00008
https://doi.org/10.1109/bigdatase50710.2020.00008