Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Chi-Man Vong"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1637-1646 (2024)
Affective brain-computer interfaces (aBCIs) have garnered widespread applications, with remarkable advancements in utilizing electroencephalogram (EEG) technology for emotion recognition. However, the time-consuming process of annotating EEG data, in
Externí odkaz:
https://doaj.org/article/d51fe2a73eb34b839a6d03585f710f09
Autor:
Hongwei Yue, Yufeng Huang, Chi-Man Vong, Yingying Jin, Zhiqiang Zeng, Mingqi Yu, Chuangquan Chen
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-13 (2023)
Abstract Scene text recognition (STR) has been widely applied in industrial and commercial fields. However, existing methods still face challenges when processing text images with defects such as low contrast, blur, low resolution, and insufficient i
Externí odkaz:
https://doaj.org/article/610338ce9b7d469195a78a0d8abb7520
Publikováno v:
IEEE Access, Vol 9, Pp 87543-87551 (2021)
Sparse Bayesian Extreme Learning Machine (SBELM) constructs an extremely sparse and probabilistic model with low computational cost and high generalization. However, the update rule of hyperparameters (ARD prior) in SBELM involves using the diagonal
Externí odkaz:
https://doaj.org/article/b41f0b9e2333405e9c19b2765449f60c
Publikováno v:
IEEE Access, Vol 8, Pp 11700-11709 (2020)
In this paper, a Supervised Extreme Learning Machine-based Auto-Encoder (SELM-AE) is proposed for discriminative Feature Learning. Different from traditional ELM-AE (designed based on data information X only), SELM-AE is designed based on both data i
Externí odkaz:
https://doaj.org/article/51a5b888431044ee8ba1b791321dd5ec
Publikováno v:
IEEE Access, Vol 7, Pp 12348-12359 (2019)
The rotating machinery plays a vital role in industrial systems, in which unexpected mechanical faults during operation can lead to severe consequences. For fault prevention, many fault diagnostic methods based on vibration signals are available in t
Externí odkaz:
https://doaj.org/article/f7016c72fc8843f38d6ebe5a8f7a2ab6
Publikováno v:
IEEE Access, Vol 7, Pp 67996-68009 (2019)
DC-dc converters have been extensively used in industrial systems and their failure may cause the systems to work abnormally and even accidents. Current research on circuit fault analysis is mainly based on a model or complex signal processing. In or
Externí odkaz:
https://doaj.org/article/c657d81060f446699e32b909c0e234ab
Publikováno v:
IEEE Access, Vol 6, Pp 18088-18107 (2018)
The use of reliability assessment and prediction in product design, manufacture, and operation has been an evolutionary process. Physics-based modeling and root-cause analysis of failure sites, failure modes, and failure mechanisms have proven to be
Externí odkaz:
https://doaj.org/article/fec031a47a9c4e0e92106b514ce50bd7
Publikováno v:
Journal of Control Science and Engineering, Vol 2012 (2012)
Engine power, brake-specific fuel consumption, and emissions relate closely to air ratio (i.e., lambda) among all the engine variables. An accurate and adaptive model for lambda prediction is essential to effective lambda control for long term. This
Externí odkaz:
https://doaj.org/article/47b0dc76c37048c1901842c3d5b06e28
Publikováno v:
Journal of Control Science and Engineering, Vol 2012 (2012)
Forecasting of air pollution is a popular and important topic in recent years due to the health impact caused by air pollution. It is necessary to build an early warning system, which provides forecast and also alerts health alarm to local inhabitant
Externí odkaz:
https://doaj.org/article/7b623a1fc28340c6bb08d697ca49ff80
Publikováno v:
Neural Networks. 164:124-134