Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Weibo Liu"'
Publikováno v:
IEEE Transactions on Cybernetics. 52:9290-9301
In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed, where a new velocity updating mechanism is designed to adjust the personal best position and the global best position according to a distance-based dynamic ne
Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. Copyright © The Author(s) 2023. The recommender system (RS) is a well-known practi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf0af6d0d48d18e94b89efb21f4656b
http://bura.brunel.ac.uk/handle/2438/26230
http://bura.brunel.ac.uk/handle/2438/26230
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries
Publikováno v:
Knowledge-Based Systems. 259:110012
Data availability: The code used in this paper is available at: https://github.com/mxt0607/Two_Stage_RUL_Prediction. This article puts forward a two-stage integrated method to predict the remaining useful life (RUL) of lithium-ion batteries (LIBs). A
Copyright © The Author(s) 2021. In this paper, a novel parameterized generative adversarial network (GAN) is proposed where the parameters are introduced to enhance the performance of image segmentation. The developed algorithm is applied to the ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be19b6752aecdf1b4089e074a8bc856
https://bura.brunel.ac.uk/handle/2438/24544
https://bura.brunel.ac.uk/handle/2438/24544
In this paper, a deep belief network (DBN) is employed to deal with the problem of the patient attendance disposal in accident & emergency (A&E) departments. The selection of the hyperparameters of the employed DBN is automated by using the particle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8960a2c28b1243aaac6aa3b6c85357e5
http://bura.brunel.ac.uk/handle/2438/23309
http://bura.brunel.ac.uk/handle/2438/23309
Publikováno v:
IEEE Transactions on Evolutionary Computation. 23:632-644
In this paper, a novel particle swarm optimization (PSO) algorithm is proposed in order to improve the accuracy of traditional clustering approaches with applications in analyzing real-time patient attendance data from an accident & emergency (A&E) d
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49:1088-1098
In this paper, the state estimation problem is investigated for a class of continuous-time complex networks with bounded distributed delay. For the network under consideration, only the outputs from a fraction of nodes are available and this put forw
The particle swarm optimization (PSO) algorithm is a popular evolutionary computation approach that has received an ever-increasing interest in the past decade owing to its wide application potential. Despite the many variants of the PSO algorithm wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5af337cdd12514cba733e504f593b4
https://bura.brunel.ac.uk/handle/2438/23529
https://bura.brunel.ac.uk/handle/2438/23529
Publikováno v:
Applied Soft Computing. 109:107516
Over the last few years, the deep neural network is utilized to solve the collaborative filtering problem, a method of which has achieved immense success on computer vision, speech recognition as well as natural language processing. On one hand, the