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pro vyhledávání: '"Li Daoliang"'
Autor:
Zhang Wenbing, Xie Shouqi, Xu Hao, Shan Xiujuan, Xue Changhu, Li Daoliang, Yang Hongsheng, Zhou Huihui, Mai Kangsen
Publikováno v:
中国工程科学, Vol 25, Iss 4, Pp 137-148 (2023)
China has the world’s largest fisheries industry that has provided a healthy and high-quality food source. Currently, guaranteeing national food security, implementing an all-encompassing approach to food, and establishing a diversified food supply
Externí odkaz:
https://doaj.org/article/955a4d78ad7e41c695ffcf091d54428c
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e17332- (2023)
Image motion deblurring is a crucial technology in computer vision that has gained significant attention attracted by its outstanding ability for accurate acquisition of motion image information, processing and intelligent decision making, etc. Motio
Externí odkaz:
https://doaj.org/article/aa08e865b6ad40a09ce00013b00b5037
Majority of deep learning methods utilize vanilla convolution for enhancing underwater images. While vanilla convolution excels in capturing local features and learning the spatial hierarchical structure of images, it tends to smooth input images, wh
Externí odkaz:
http://arxiv.org/abs/2409.19269
In underwater image enhancement (UIE), convolutional neural networks (CNN) have inherent limitations in modeling long-range dependencies and are less effective in recovering global features. While Transformers excel at modeling long-range dependencie
Externí odkaz:
http://arxiv.org/abs/2407.19248
Autor:
LI Daoliang, LIU Chang
Publikováno v:
智慧农业, Vol 2, Iss 3, Pp 1-20 (2020)
The production of China's aquaculture has changed from extensive model to intensive model, the production structure is continuously adjusting and upgrading, and the production level has been continuously improved. However, as an important part of Chi
Externí odkaz:
https://doaj.org/article/6c6038f6c91341db9983618dece4c900
Digital aquaculture leverages advanced technologies and data-driven methods, providing substantial benefits over traditional aquaculture practices. This paper presents a comprehensive review of three interconnected digital aquaculture tasks, namely,
Externí odkaz:
http://arxiv.org/abs/2406.17800