Recently added

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network

Du, Liang; Gao, Ruobin; Suganthan, Ponnuthurai Nagaratnam; Wang, David Z.W. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)

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. ...

Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering

Hu, Minghui; Suganthan, P. N. ( Elsevier Ltd , 2022 , Article)

Random Vector Functional Link (RVFL) Networks have received a lot of attention due to the fast training speed as the non-iterative solution characteristic. Currently, the main research direction of RVFLs has supervised ...

Oblique and rotation double random forest

Ganaie, M. A.; Tanveer, M.; Suganthan, P. N.; Snasel, V. ( Elsevier Ltd , 2022 , Article)

Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ...

Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?

Hu, Minghui; Suganthan, P. N. ( Elsevier Ltd , 2022 , Article)

To overcome the pitfalls of Random Vector Functional Link (RVFL), a network called Stochastic Configuration Networks (SCN) has been proposed. By constraining and adaptively selecting the range of randomized parameters using ...

Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling

Wu, Guohua; Luo, Qizhang; Du, Xiao; Chen, Yingguo; Suganthan, Ponnuthurai Nagaratnam; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)

Satellite observation scheduling plays a significant role in improving the efficiency of Earth observation systems. To solve the large-scale multisatellite observation scheduling problem, this article proposes an ensemble ...

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification

Shi, Qiushi; Suganthan, Ponnuthurai Nagaratnam; Del Ser, Javier ( Elsevier Ltd , 2022 , Article)

Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ...

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 ...

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

Li, Changsong; Xiong, Guojiang; Fu, Xiaofan; Mohamed, Ali Wagdy; Yuan, Xufeng; ... more authors ... less authors ( Elsevier B.V. , 2022 , Article)

To effectively deal with the operating uncertainties of protective relays and circuit breakers existing in the power system faults, an improved fault section diagnosis (FSD) method is proposed by using Takagi–Sugeno fuzzy ...

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 ...

Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic

Wu, Guohua; Mao, Ni; Luo, Qizhang; Xu, Binjie; Shi, Jianmai; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)

The COVID-19 pandemic calls for contactless deliveries. To prevent the further spread of the disease and ensure the timely delivery of supplies, this paper investigates a collaborative truck-drone routing problem for ...

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

Shi, Qiushi; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Katuwal, Rakesh ( Elsevier Ltd , 2022 , Article)

In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose ...

Graph ensemble deep random vector functional link network for traffic forecasting

Du, Liang; Gao, Ruobin; Suganthan, Ponnuthurai Nagaratnam; Wang, David Z.W. (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 ...

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. ...

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 ...

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 ...

The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait

Abdullah, Heba M.; Kamel, Rashad M.; Tahir, Anas; Sleit, Azzam; Gastli, Adel ( MDPI AG , 2020 , Article)

Recently, electric vehicles (EVs) have become an increasingly important topic in the field of sustainable transportation research, alongside distributed generation, reactive power compensation, charging optimization, and ...

Network & Distributed Systems: Recent submissions

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network

Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering

Oblique and rotation double random forest

Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?

Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification

EEG-based emotion recognition using random Convolutional Neural Networks

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

Graph ensemble deep random vector functional link network for traffic forecasting

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning

Dynamic ensemble deep echo state network for significant wave height forecasting

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition

The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait

Real-time cooperative data routing and scheduling in software defined vehicular networks

A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks

A Reconfigurable Multipurpose SoC Mobile Platform for metal detection

Almost BPXOR Coding Technique for Tolerating Three Disk Failures in RAID7 Architectures

Network & Distributed Systems: Recent submissions

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network ﻿

Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering ﻿

Oblique and rotation double random forest ﻿

Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? ﻿

Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling ﻿

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification ﻿

EEG-based emotion recognition using random Convolutional Neural Networks ﻿

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm ﻿

Random vector functional link neural network based ensemble deep learning for short-term load forecasting ﻿

Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic ﻿

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification ﻿

Graph ensemble deep random vector functional link network for traffic forecasting ﻿

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning ﻿

Dynamic ensemble deep echo state network for significant wave height forecasting ﻿

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition ﻿

The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait ﻿

Real-time cooperative data routing and scheduling in software defined vehicular networks ﻿

A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks ﻿

A Reconfigurable Multipurpose SoC Mobile Platform for metal detection ﻿

Almost BPXOR Coding Technique for Tolerating Three Disk Failures in RAID7 Architectures ﻿

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network

Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering

Oblique and rotation double random forest

Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?

Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification

EEG-based emotion recognition using random Convolutional Neural Networks

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

Graph ensemble deep random vector functional link network for traffic forecasting

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning

Dynamic ensemble deep echo state network for significant wave height forecasting

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition

The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait

Real-time cooperative data routing and scheduling in software defined vehicular networks

A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks

A Reconfigurable Multipurpose SoC Mobile Platform for metal detection

Almost BPXOR Coding Technique for Tolerating Three Disk Failures in RAID7 Architectures