Browsing by Author "Gao, Ruobin"
Now showing items 1-10 of 10
-
Automated layer-wise solution for ensemble deep randomized feed-forward neural network
( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ... -
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ... -
Dynamic ensemble deep echo state network for significant wave height forecasting
( 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
( 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 ... -
Graph ensemble deep random vector functional link network for traffic forecasting
(2022 , Article)Traffic forecasting is crucial to achieving a smart city as it facilitates public transportation management, autonomous driving, and the resource relocation of the sharing economy. Traffic forecasting belongs to the ... -
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
( 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
( 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
( 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
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)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 ... -
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Time series forecasting remains a challenging task in data science while it is of great relevance to decision-making in various industries such as transportation, finance, electricity resource management, meteorology. ...
