Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Haibo Pu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The synthesis of facial sketch-photo has important applications in practical life, such as crime investigation. Many convolutional neural networks (CNNs) based methods have been proposed to address this issue. However, due to the substantial
Externí odkaz:
https://doaj.org/article/11963cb837ce4bc2a61665a35d7eecad
Autor:
Tao Yang, Jingjing Wei, Yongjun Xiao, Shuyang Wang, Jingxuan Tan, Yupeng Niu, Xuliang Duan, Fei Pan, Haibo Pu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionZanthoxylum bungeanum Maxim is an economically significant crop in Asia, but large-scale cultivation is often threatened by frequent diseases, leading to significant yield declines. Deep learning-based methods for crop disease recognition
Externí odkaz:
https://doaj.org/article/99c18d83cb34448bb93c7cc3eb94192e
Publikováno v:
Plants, Vol 13, Iss 15, p 2069 (2024)
Lemon, as an important cash crop with rich nutritional value, holds significant cultivation importance and market demand worldwide. However, lemon diseases seriously impact the quality and yield of lemons, necessitating their early detection for effe
Externí odkaz:
https://doaj.org/article/fc837f73121b4bc7a6c605080afc695b
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1571 (2024)
Citrus pests pose a major threat to both citrus yield and fruit quality. The early prevention of pests is essential for sustainable citrus cultivation, cost savings, and the reduction of environmental pollution. Despite the increasing application of
Externí odkaz:
https://doaj.org/article/15fa0c85ce794c778d1b5aeb670f0e45
Publikováno v:
Plants, Vol 13, Iss 9, p 1270 (2024)
Estimating and monitoring chlorophyll content is a critical step in crop spectral image analysis. The quick, non-destructive assessment of chlorophyll content in rice leaves can optimize nitrogen fertilization, benefit the environment and economy, an
Externí odkaz:
https://doaj.org/article/b551f7c6f7ff408da01f36f7d7497182
Publikováno v:
Animals, Vol 13, Iss 10, p 1713 (2023)
To protect birds, it is crucial to identify their species and determine their population across different regions. However, currently, bird monitoring methods mainly rely on manual techniques, such as point counts conducted by researchers and ornitho
Externí odkaz:
https://doaj.org/article/0ff9db55629a4e398f3be528a94ae238
Autor:
Haozhe Huang, Feiyi Li, Pengcheng Fan, Mingwei Chen, Xiao Yang, Ming Lu, Xiling Sheng, Haibo Pu, Peng Zhu
Publikováno v:
Forests, Vol 14, Iss 3, p 549 (2023)
Tree species classification is an important and challenging task in image recognition and the management of forest resources. Moreover, the task of tree species classification based on remote sensing images can significantly improve the efficiency of
Externí odkaz:
https://doaj.org/article/024a20636f6740f5a3cfa7a22ecf5ba8
Autor:
Xuan Wu, Silong Zhou, Mingwei Chen, Yihang Zhao, Yifei Wang, Xianmeng Zhao, Danyang Li, Haibo Pu
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0276778 (2022)
The sound of the pig is one of its important signs, which can reflect various states such as hunger, pain or emotional state, and directly indicates the growth and health status of the pig. Existing speech recognition methods usually start with spect
Externí odkaz:
https://doaj.org/article/9d2e8cc2cd96435ab76325a8032133b8
Autor:
Yuanjiang Luo, Ao Feng, Hongxiang Li, Danyang Li, Xuan Wu, Jie Liao, Chengwu Zhang, Xingqiang Zheng, Haibo Pu
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272317 (2022)
Extracting water bodies from remote sensing images is important in many fields, such as in water resources information acquisition and analysis. Conventional methods of water body extraction enhance the differences between water bodies and other inte
Externí odkaz:
https://doaj.org/article/9a49d504e83c48a2955a3c972275cc13
Publikováno v:
PeerJ Computer Science, Vol 7, p e579 (2021)
Credit scoring is a very critical task for banks and other financial institutions, and it has become an important evaluation metric to distinguish potential defaulting users. In this paper, we propose a credit score prediction method based on feature
Externí odkaz:
https://doaj.org/article/e77a23a3f3624e7caca26c1d62f8d107