تصفح حسب المؤلف "Li, Ruilin"
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An enhanced ensemble deep random vector functional link network for driver fatigue recognition
Li, Ruilin; Gao, Ruobin; Yuan, Liqiang; Suganthan, P.N.; Wang, Lipo; Sourina, Olga... more authors ... less authors ( Elsevier , 2023 , Article)This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ... -
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
Li, Ruilin; Gao, Ruobin; Suganthan, Ponnuthurai Nagaratnam ( Elsevier Inc. , 2023 , Article)Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary ... -
Dynamic ensemble deep echo state network for significant wave height forecasting
Gao, Ruobin; Li, Ruilin; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Yuen, Kum Fai ( Elsevier Ltd , 2023 , Article)Forecasts of the wave heights can assist in the data-driven control of wave energy systems. However, the dynamic properties and extreme fluctuations of the historical observations pose challenges to the construction of ... -
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
Li, Ruilin; Wang, Lipo; Suganthan, P. N.; Sourina, Olga ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been shown as an effective way to improve ... -
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
Gao, Ruobin; Li, Ruilin; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Yuen, Kum Fai ( Elsevier Ltd , 2023 , Article)The reliable control of wave energy devices highly relies on the forecasts of wave heights. However, the dynamic characteristics and significant fluctuation of waves’ historical data pose challenges to precise predictions. ... -
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study
Li, Ruilin; Cui, Jian; Gao, Ruobin; Suganthan, P. N.; Sourina, Olga; Wang, Lipo; Chen, Chun Hsien... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Since situation awareness (SA) plays an important role in many fields, the measure of SA is one of the most concerning problems. Using physiological signals to evaluate SA is becoming a popular research topic because of ...