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of 57
pro vyhledávání: '"Wan-Jui Lee"'
Autor:
Wan-Jui Lee
Publikováno v:
International Journal of Prognostics and Health Management, Vol 8, Iss 3 (2017)
Air leakage in braking pipes is a commonly encountered mechanical defect on trains. A severe air leakage will lead to braking issues and therefore decrease the reliability and cause train delays or stranding. However, air leakage is difficult to be d
Externí odkaz:
https://doaj.org/article/16f8462176a347fca2535066af859b14
Publikováno v:
PLoS ONE, Vol 8, Iss 1, p e52884 (2013)
The interpretation of biological data sets is essential for generating hypotheses that guide research, yet modern methods of global analysis challenge our ability to discern meaningful patterns and then convey results in a way that can be easily appr
Externí odkaz:
https://doaj.org/article/f3fb134332e44aa491b6b5466e81f768
Autor:
Wan-Jui Lee, 李婉瑞
96
With the rapidly growing volumes of data from various sources, new tools and computational theories are required to extract useful information (knowledge) from large databases. Data mining techniques such as association rules have been proved
With the rapidly growing volumes of data from various sources, new tools and computational theories are required to extract useful information (knowledge) from large databases. Data mining techniques such as association rules have been proved
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/3w6k3p
Autor:
Wan-Jui Lee
Publikováno v:
International Journal of Prognostics and Health Management, Vol 8, Iss 3 (2017)
Air leakage in braking pipes is a commonly encountered mechanical defect on trains. A severe air leakage will lead to braking issues and therefore decrease the reliability and cause train delays or stranding. However, air leakage is difficult to be d
Publikováno v:
Engineering Applications of Artificial Intelligence, 92
Deep learning applications have been thriving over the last decade in many different domains, including computer vision and natural language understanding. The drivers for the vibrant development of deep learning have been the availability of abundan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63ddcd95f59b6cee8ac46ab787dad71d
https://hdl.handle.net/20.500.11850/414034
https://hdl.handle.net/20.500.11850/414034
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030584610
EDCC Workshops
EDCC Workshops
The Train Unit Shunting Problem (TUSP) is a hard combinatorial optimization problem faced by the Dutch Railways (NS). An earlier study has shown the potential to solve the parking and matching sub-problem of TUSP by formulating it as a Markov Decisio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078928ebead9353b321a8a11f223d27c
https://doi.org/10.1007/978-3-030-58462-7_9
https://doi.org/10.1007/978-3-030-58462-7_9
Autor:
Paulo De Oliveira Da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
Publikováno v:
31st Benelux Conference on Artificial Intelligence and 28th Belgian-Dutch Conference on Machine Learning, BNAIC/BeneLearn 2019
Pure TUe
Pure TUe
Parking, matching, scheduling, and routing are common problems in train maintenance. In particular, train units are commonly maintained and cleaned at dedicated shunting yards. The planning problem that results from such situations is referred to as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ab52c62bd4570c0782a77569211f0b2
https://research.tue.nl/nl/publications/4d91930e-594f-4fdf-92b9-898f2829f2fb
https://research.tue.nl/nl/publications/4d91930e-594f-4fdf-92b9-898f2829f2fb
Publikováno v:
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3063-3068
STARTPAGE=3063;ENDPAGE=3068;TITLE=2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
SMC
STARTPAGE=3063;ENDPAGE=3068;TITLE=2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
SMC
The Train Unit Shunting Problem (TUSP) is a difficult sequential decision making problem faced by Dutch Railways (NS). Current heuristic solutions under study at NS fall short in accounting for uncertainty during plan execution and do not efficiently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::602e428ac53e11fd24c466d98093891e
https://research.tue.nl/nl/publications/75f2bad1-fb69-47fb-946f-eba45411f7ce
https://research.tue.nl/nl/publications/75f2bad1-fb69-47fb-946f-eba45411f7ce
Autor:
Wan-Jui Lee
Publikováno v:
Advances in Artificial Intelligence: From Theory to Practice ISBN: 9783319600444
IEA/AIE (2)
IEA/AIE (2)
Air leakage in braking pipes is a commonly encountered mechanical defect on trains. A severe air leakage will lead to braking issues and therefore decrease the reliability and cause train delays or stranding. However, air leakage is difficult to be d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7c8462a72ba9ca63ebddbcaf3c14fdd
https://doi.org/10.1007/978-3-319-60045-1_22
https://doi.org/10.1007/978-3-319-60045-1_22
Autor:
Grimes, Mark L.1 Mark.Grimes@mso.umt.edu, Wan-Jui Lee2, van der Maaten, Laurens2, Shannon, Paul3
Publikováno v:
PLoS ONE. Jan2013, Vol. 8 Issue 1, Special section p1-16. 16p.