Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Meili, Zhu"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract In virtual reality, due to factors such as light sources and surface materials of objects, the details of the scene exhibit extremely complex changes, making it difficult to capture environmental modeling relationships and reducing the quali
Externí odkaz:
https://doaj.org/article/8a82e3cd5d2b42adbafad178496e8d2a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 49-74 (2024)
Retinal vessel segmentation is very important for diagnosing and treating certain eye diseases. Recently, many deep learning-based retinal vessel segmentation methods have been proposed; however, there are still many shortcomings (e.g., they cannot o
Externí odkaz:
https://doaj.org/article/cfa3c485cf294089b74d281872e80f2e
Publikováno v:
Journal of Materials Research and Technology, Vol 17, Iss , Pp 1043-1053 (2022)
The microstructure and properties of aluminum (Al)-steel dissimilar metal riveting-welding joints obtained by the pulse laser and laser-arc hybrid welding methods were investigated. For simple laser beam riveting-welding Al and steel joint, the maxim
Externí odkaz:
https://doaj.org/article/160fcc8e7f864324a045eb798f387c77
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2022)
Among electroencephalogram (EEG) signal emotion recognition methods based on deep learning, most methods have difficulty in using a high-quality model due to the low resolution and the small sample size of EEG images. To solve this problem, this stud
Externí odkaz:
https://doaj.org/article/5938f06162e5479391d466564ec199a4
Publikováno v:
Biomolecules, Vol 11, Iss 7, p 988 (2021)
Vascular endothelial growth factor (VEGF) is a major therapeutic target for blood–retina barrier (BRB) breakdown in diabetic retinopathy (DR), age-related macular degeneration (AMD), and other hypoxic retinal vascular disorders. To determine whethe
Externí odkaz:
https://doaj.org/article/1425c73c96f84ad482a3bcf8f9d9bcf4
Publikováno v:
Biomolecules, Vol 11, Iss 5, p 712 (2021)
To investigate the mechanism of vascular endothelial growth factor (VEGF) and brain-derived neurotrophic factor (BDNF) in Müller cell (MC) viability and neuroprotection in diabetic retinopathy (DR), we examined the role of VEGF in MC viability and B
Externí odkaz:
https://doaj.org/article/95ce7741e7154ee1949d6358bac4f554
Autor:
Meili Zhu
Publikováno v:
Proceedings of the 2022 5th International Conference on Education Technology Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee32170af9b5ede95bd5796831a50895
https://doi.org/10.1145/3582580.3582614
https://doi.org/10.1145/3582580.3582614
Publikováno v:
2022 the 14th International Conference on Computer Modeling and Simulation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b89f815d8972debb7f312997f6192e48
https://doi.org/10.1145/3547578.3547604
https://doi.org/10.1145/3547578.3547604
Publikováno v:
Journal of Electronic Imaging. 30
Lipreading feature extraction is essentially the feature extraction of continuous video frame sequences. A lipreading model based on a two-way convolutional neural network and features is proposed to obtain more reasonable visual-spatial–temporal c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce53dab902ce0af9630730142224468
https://doi.org/10.1117/1.jei.30.6.063003
https://doi.org/10.1117/1.jei.30.6.063003
Autor:
Qingqing Wang, Meili Zhu
Publikováno v:
Journal of Physics: Conference Series. 2356:012054
In complex scenes, the information captured by agents is diverse. How to quickly fuse and analyze data is very important. This paper designs the structural model of mobile agent obstacle avoidance control, and uses the adaptive weighted fusion algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ad66999db005d15c94177ca49036b94
https://doi.org/10.1088/1742-6596/2356/1/012054
https://doi.org/10.1088/1742-6596/2356/1/012054