Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Chi-Keong Goh"'
Autor:
Zhao Xu, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, Sivakumar Nadarajan
Publikováno v:
IEEE Access, Vol 5, Pp 25055-25068 (2017)
Inter-turn short circuit (ITSC) fault is one of the critical electrical faults in induction motors that affects the reliability of many industrial applications. Although the use of data-driven fault detection techniques have gained much interest, the
Externí odkaz:
https://doaj.org/article/13ffdc2af64c4c86bb1c8c7f5eb886af
Autor:
Zi Ying Chang, Gary Chun-Yun Kang, Eileen Yi Ling Koh, Rodney Jin Kai Fong, Jiasheng Tang, Chi Keong Goh, Ngiap Chuan Tan
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
BackgroundPediatric immunization is often associated with significant fear and anxiety among the children and their parents. Their distress may potentially affect their adherence to the childhood immunization schedule and the acceptance of other reco
Externí odkaz:
https://doaj.org/article/e35eb9d002cc45e5844a5239efab9611
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 2:204-213
Data-driven prognostic methods typically make use of observer signals reflective of the system health combined with machine learning methods to predict the Remaining Useful Life (RUL) of the system. Currently, majority of feature extraction methods d
Publikováno v:
IEEE Computational Intelligence Magazine. 12:48-60
The modern aircraft has evolved to become an important part of our society. Its design is multidisciplinary in nature and is characterized by complex analyses of mutually interdependent disciplines and large search spaces. Machine learning has, histo
Publikováno v:
Neural Processing Letters. 47:993-1009
The brain can be viewed as a complex modular structure with features of information processing through knowledge storage and retrieval. Modularity ensures that the knowledge is stored in a manner where any complications in certain modules do not affe
Publikováno v:
Neurocomputing. 243:21-34
Multi-task learning employs a shared representation of knowledge for learning several instances of the same problem. Multi-step time series problem is one of the most challenging problems for machine learning methods. The performance of a prediction
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 28:136-148
For accurate prognostics, users have to determine the current health of the system and predict future degradation pattern of the system. An increasingly popular approach toward tackling prognostic problems involves the use of switching models to repr
Autor:
Sivakumar Nadarajan, Amit Kumar Gupta, Feng Yang, Shyh-hao Kuo, Zhao Xu, Chi Keong Goh, Changhua Hu
Publikováno v:
IEEE Access, Vol 5, Pp 25055-25068 (2017)
Inter-turn short circuit (ITSC) fault is one of the critical electrical faults in induction motors that affects the reliability of many industrial applications. Although the use of data-driven fault detection techniques have gained much interest, the
Publikováno v:
Digital Health; Jan-Dec2022, Vol. 8, p1-17, 17p
Autor:
Xiaofeng Yin, Yi Su, Chi Keong Goh, Chi Wan Lim, Alejandro Moreno, Tianyou Zhang, Shahrokh Shahpar
Publikováno v:
Lecture Notes in Computational Science and Engineering ISBN: 9783030139919
IMR
IMR
This work focuses on the use of evolutionary algorithm to perform automatic blocking of a 2D manifold. The goal of such a blocking process is to completely partition a 2D region into a set of conforming and non-intersecting quadrilaterals to facilita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8fb1f1e6db70eaff16c29d0a262209a
https://doi.org/10.1007/978-3-030-13992-6_10
https://doi.org/10.1007/978-3-030-13992-6_10