Browsing by Author "Suganthan, P.N."

Now showing items 1-4 of 4

    • An enhanced ensemble deep random vector functional link network for driver fatigue recognition 

      Li, Ruilin; Gao, Ruobin; Yuan, Liqiang; Suganthan, P.N.; Wang, Lipo; ... more 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 ...

    • Automatic variable reduction 

      Song, Aijuan; Wu, Guohua; Suganthan, P. N.; Pedrycz, Witold ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ...

    • Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification 

      Hu, Minghui; Gao, Ruobin; Suganthan, P. N. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      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 ...

    • Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study 

      Li, Ruilin; Cui, Jian; Gao, Ruobin; Suganthan, P. N.; Sourina, Olga; ... more 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 ...