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Real-time cooperative data routing and scheduling in software defined vehicular networks
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Elsevier B.V.
, 2022 , Article)
Links in vehicular networks are highly dynamic and generally exist only for a limited amount of time. Moreover, data packets are generally transmitted over multiple hops and have diverse latency requirements. The above ...
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
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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 ...
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
(
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 ...
Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
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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 ...
Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic
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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 ...
EEG-based emotion recognition using random Convolutional Neural Networks
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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 ...
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
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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 ...
Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network
(
IEEE Computer Society
, 2022 , Article)
This paper presents an artificial intelligence-assisted network slice prediction method, which utilizes a novel incremental random vector functional link (IRVFL) network to deal with the wireless network slice assignment ...
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ...