Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Guanglei Ye"'
Publikováno v:
Neurocomputing. 448:228-237
The Seq2Seq abstract summarization model based on long short-term memory (LSTM) is very effective for short text summarization. However, LSTM is limited by long-term dependencies, which can potentially result in salient information loss when long tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3eb80bd0451698fc0eaa760cd1065cb
https://doi.org/10.1016/j.neucom.2021.02.028
https://doi.org/10.1016/j.neucom.2021.02.028
Publikováno v:
IEICE Transactions on Information and Systems. :1274-1280
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eff7f375135638541aa94f8a6614bddb
https://doi.org/10.1587/transinf.2020bdp0018
https://doi.org/10.1587/transinf.2020bdp0018
Publikováno v:
IEICE Transactions on Information and Systems. :1266-1273
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08964cacaf1978da6beca3e85224698e
https://doi.org/10.1587/transinf.2020bdp0017
https://doi.org/10.1587/transinf.2020bdp0017
Publikováno v:
AICCSA
Large variations in the replacement cycle and data size of different auto parts present a challenge to auto part companies. To predict the inventory of spare parts, an prediction method based on long short-term memory (LSTM) is proposed. The LSTM-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0699683c71d56a28efea200300f289b4
https://doi.org/10.1109/aiccsa50499.2020.9316488
https://doi.org/10.1109/aiccsa50499.2020.9316488
Publikováno v:
AICCSA
This paper proposes an improved SimHash algorithm for automobile maintenance and repair diagnosis for overcoming the challenges of collaborative automobile diagnosis, i.e. lack of characteristic information, highly synonymous, low-matching accuracy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc92947157543790a05ad3978494867
https://doi.org/10.1109/aiccsa50499.2020.9316458
https://doi.org/10.1109/aiccsa50499.2020.9316458
Publikováno v:
AICCSA
To predict the sales of auto parts in the auto part companies, an auto Parts sales prediction method based on Machine Learning for small data and a long replacement cycle is proposed. The predictive model based on machine learning is mainly used for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::871427cc5b368e052522c043870e84a9
https://doi.org/10.1109/aiccsa50499.2020.9316540
https://doi.org/10.1109/aiccsa50499.2020.9316540
Publikováno v:
2019 International Conference on Economic Management and Model Engineering (ICEMME).
This paper proposes a method for automobile maintenance case extraction based on a continuous language model to improve the context understanding accuracy and reduce the result redundancy of the traditional keyword matching technology in the car main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aab0d7a7bfb92a28006130ee051d02a0
https://doi.org/10.1109/icemme49371.2019.00100
https://doi.org/10.1109/icemme49371.2019.00100
Autor:
Guanglei, Ye, Bina, Guo
Publikováno v:
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation. 43(1)
This paper demonstrates a BSN-based portable monitor integrating micro sensors with mobile devices for monitoring and diagnosing obstructive sleep apnea syndrome (OSAS) at home. The system uses a micro hot-film flow sensor to detect respiratory flow,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6c61e131221ce023d30194d4a2dea5a0
https://pubmed.ncbi.nlm.nih.gov/30770687
https://pubmed.ncbi.nlm.nih.gov/30770687