Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sunghyun Sim"'
Publikováno v:
IEEE Access, Vol 12, Pp 87675-87690 (2024)
Time-series clustering remains a challenge in data mining. Although novel deep-learning-based representation learning integrated with deep clustering methods have considerably enhanced the performance of time-series clustering, efficiently capturing
Externí odkaz:
https://doaj.org/article/daad5f77e76546e48f4f35f082e927c9
Publikováno v:
IEEE Access, Vol 10, Pp 15994-16009 (2022)
In process mining, converting event data to event logs is related to the quality of analysis results. In general, to convert event data into event logs, it is necessary to identify process entities, such as the case identifier, activity label, activi
Externí odkaz:
https://doaj.org/article/2b3b936b4c8f40068ac1022df9c3655e
Publikováno v:
Maritime Transport Research, Vol 2, Iss , Pp 100012- (2021)
Port operation efficiency has grown in importance as container volumes and vessel sizes have increased. For improved port operations efficiency, the estimated time of arrival (ETA) of sea-going vessels must be accurately predicted. In this paper, an
Externí odkaz:
https://doaj.org/article/31a45ab9698543baad355a5628faae32
Publikováno v:
ICIC Express Letters; Aug2024, Vol. 18 Issue 8, p875-882, 8p
Publikováno v:
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Publikováno v:
Transportation Research Part D: Transport and Environment. 111:103431
Publikováno v:
Journal of the Korean Institute of Industrial Engineers. 45:111-116
Publikováno v:
International Journal of Industrial Ergonomics. 84:103163
The tightened hamstring connecting the tibia to the pelvis provides more posterior pelvic tilting and consequent backward curvature of the sacral and lumbar vertebrae. Therefore, the study goal was to quantitatively investigate the effect of hamstrin
Akademický článek
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Publikováno v:
ICPM
The event log recorded through an information system may be missing for various reasons, which fact may result in an imperfect event log. Performing analyses using such an imperfect event log can seriously affect the quality of the obtained results.