Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Haonan Luo"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4459-4469 (2023)
Parkinson’s disease (PD) is a neurodegenerative disease of the brain associated with motor symptoms. With the maturation of machine learning (ML), especially deep learning, ML has been used to assist in the diagnosis of PD. In this paper, we explor
Externí odkaz:
https://doaj.org/article/bcaa19fa63f5432d9eea4e80197564a5
Publikováno v:
Mathematics, Vol 10, Iss 10, p 1654 (2022)
Person Re-Identification (ReID) has witnessed tremendous improvements with the help of deep convolutional neural networks (CNN). Nevertheless, because different fields have their characteristics, most existing methods encounter the problem of poor ge
Externí odkaz:
https://doaj.org/article/0a96540c48554e8cb52636de6703d37b
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1303 (2022)
Brain storm optimization algorithm (BSO) is a popular swarm intelligence algorithm. A significant part of BSO is to divide the population into different clusters with the clustering strategy, and the blind disturbance operator is used to generate off
Externí odkaz:
https://doaj.org/article/9e104471626041769fa21e37180c25ec
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:6807-6819
Embodied Question Answering (EQA) is a newly defined research area where an agent is required to answer the users questions by exploring the real-world environment. It has attracted increasing research interests due to its broad applications in perso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d9bba82880f8b3b0b248981e31a65de
https://doi.org/10.1109/tpami.2021.3139957
https://doi.org/10.1109/tpami.2021.3139957
Publikováno v:
BCP Business & Management. 40:260-273
The imbalance of regional economic development is certainly an important feature of the imbalance. The impact of the current imbalance in China's regional economic development is mainly reflected in the ability of each region of the country to develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d81c987d53844f45582871b9c40aba70
https://doi.org/10.54691/bcpbm.v40i.4390
https://doi.org/10.54691/bcpbm.v40i.4390
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4ab452d6f89cb1b5b71aa15c6b8f0a1
https://doi.org/10.1109/tnnls.2023.3251984
https://doi.org/10.1109/tnnls.2023.3251984
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:3073-3084
Most existing action recognition approaches directly leverage the video-level features to recognize human actions from videos. Although these methods have made remarkable progress, the accuracy is still unsatisfied. When the test video involves compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7625cef29a28629185689c641bae3249
https://doi.org/10.1109/tcsvt.2021.3100842
https://doi.org/10.1109/tcsvt.2021.3100842
Publikováno v:
Applied Intelligence. 51:4984-5006
Competitive swarm optimizer (CSO) has been shown to be an effective optimization algorithm for large scale optimization. However, the learning strategy of a loser particle used in CSO is axis-parallel. Then, it may not be able to solve the high ill-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5347a3e1fa26272640da24c2160094b
https://doi.org/10.1007/s10489-020-02078-4
https://doi.org/10.1007/s10489-020-02078-4
Publikováno v:
Neural Computing for Advanced Applications ISBN: 9789811961410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf8cb40b7d0435f739c3301986033e9
https://doi.org/10.1007/978-981-19-6142-7_2
https://doi.org/10.1007/978-981-19-6142-7_2
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::114b005b39dc9393fa51baee822593e4
https://doi.org/10.2139/ssrn.4110854
https://doi.org/10.2139/ssrn.4110854