Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Jiahua Dong"'
Autor:
Diwen Liang, Hailin Luo, Chunrong Huang, Zhen Ye, Shuangshuang Sun, Jiahua Dong, Mingyi Liang, Senjie Lin, Yufeng Yang
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Knowledge of in situ diet of widespread rotifers is crucial for accurately understanding the trophic position, ecological function, and adaptability to environmental changes in aquatic ecosystems. However, it is challenging to achieve the in situ die
Externí odkaz:
https://doaj.org/article/dca7689f2f6a4dc08fef68d08554ad03
Publikováno v:
Atmosphere, Vol 13, Iss 12, p 2059 (2022)
In the rapid urbanization process, climate change has a huge impact on the urban thermal environment, and the urban heat island has attracted widespread attention from society. How to better detect, analyze, and evaluate the urban heat island effect
Externí odkaz:
https://doaj.org/article/ca7205c1c3ba40218eaa70230a442641
Autor:
Jiahua Dong1
Publikováno v:
Journal of Commercial Biotechnology. 2023, Vol. 28 Issue 6, p48-58. 11p.
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-13
3D object recognition has successfully become an appealing research topic in the real-world. However, most existing recognition models unreasonably assume that the categories of 3D objects cannot change over time in the real-world. This unrealistic a
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-21
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:379-392
Publikováno v:
IEEE Transactions on Cybernetics. 52:12275-12289
Object clustering has received considerable research attention most recently. However, 1) most existing object clustering methods utilize visual information while ignoring important tactile modality, which would inevitably lead to model performance d
Publikováno v:
IEEE Internet of Things Journal. 9:11365-11375
Federated machine learning which enables resource-constrained node devices (e.g., Internet of Things (IoT) devices, smartphones) to establish a knowledge-shared model while keeping the raw data local, could provide privacy preservation and economic b
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:4349-4361
Currently, visual-tactile fusion learning for robotic object recognition has achieved appealing performance, due to the fact that visual and tactile data can offer complementary information. However: 1) the distinct gap between vision and touch makes
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:3603-3614
Human action recognition which recognizes human actions in a video is a fundamental task in computer vision field. Although multiple existing methods with single-view or multi-view have been presented for human action recognition, these recognition a