Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhaoxin Yue"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The presence of light absorption and scattering in underwater conditions results in underwater images with missing details, low contrast, and color bias. The current deep learning-based methods bring unlimited potential for underwater image
Externí odkaz:
https://doaj.org/article/6148fbd06405493493d7767bbabd7180
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Histopathological image analysis plays an important role in the diagnosis and treatment of cholangiocarcinoma. This time-consuming and complex process is currently performed manually by pathologists. To reduce the burden on pathologists, this paper p
Externí odkaz:
https://doaj.org/article/bcc6afe3be97471d980b4ceaa3809339
Publikováno v:
IEEE Access, Vol 11, Pp 11601-11612 (2023)
In the application of medium and long-term runoff forecasting, machine learning has some problems, such as high learning cost, limited computing cost, and difficulty in satisfying statistical data assumptions in some regions, leading to difficulty in
Externí odkaz:
https://doaj.org/article/bb5ce67369a8434d83c7a285c58f6daa
Publikováno v:
Journal of Hydroinformatics, Vol 24, Iss 2, Pp 367-387 (2022)
The accuracy of medium- and long-term runoff forecasting plays a significant role in several applications involving the management of hydrological resources, such as power generation, water supply and flood mitigation. Numerous studies that adopted
Externí odkaz:
https://doaj.org/article/913ff12a08f04f9eb2eed91bd3d5cc5a
Publikováno v:
Water, Vol 15, Iss 19, p 3507 (2023)
Underwater creatures play a vital role in maintaining the delicate balance of the ocean ecosystem. In recent years, machine learning methods have been developed to identify underwater biologicals in the complex underwater environment. However, the sc
Externí odkaz:
https://doaj.org/article/e01f74dbb6b64247a6797ce5dd0d4f6e
Publikováno v:
Water, Vol 15, Iss 15, p 2704 (2023)
Accuracy in monthly runoff forecasting is of great significance in the full utilization of flood and drought control and of water resources. Data-driven models have been proposed to improve monthly runoff forecasting in recent years. To effectively p
Externí odkaz:
https://doaj.org/article/9389cadb897d465590977d4383460571
Publikováno v:
2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:5103-5122
Factor selection and model construction play an important role in mid-long term runoff forecasting. Due to the indeterminacy between the data and mid-long term runoff, identifying key factors for mid-long term runoff forecasting is challenging. Anoth
Publikováno v:
Journal of Hydroinformatics. 22:1283-1305
Data representation and prediction model design play an important role in mid- to long-term runoff prediction. However, it is challenging to extract key factors that accurately characterize the changes in the runoff of a river basin because of the co
Publikováno v:
2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES).
The development and application of information technology largely expand the spatio-temporal scale and the element type of water resources information. With the increased amount and type, the water resources data is representing the characteristic of