Browsing by Author "Yuen, Kum Fai"
Now showing items 1-5 of 5
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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 ... -
EEG-based emotion recognition using random Convolutional Neural Networks
Cheng, Wen Xin; Gao, Ruobin; Suganthan, P. N.; Yuen, Kum Fai ( Elsevier Ltd , 2022 , Article)Emotion recognition based on electroencephalogram (EEG) signals is helpful in various fields, including medical healthcare. One possible medical application is to diagnose emotional disorders in patients. Humans tend to ... -
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
Gao, Ruobin; Cheng, Wen Xin; Suganthan, P. N.; Yuen, Kum Fai ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ... -
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Gao, Ruobin; Du, Liang; Suganthan, Ponnuthurai Nagaratnam; Zhou, Qin; Yuen, Kum Fai ( Elsevier Ltd , 2022 , Article)Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ... -
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. ...