Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Dasheng Wu"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Pine wilt disease (PWD) poses a significant threat to forests due to its high infectivity and lethality. The absence of an effective treatment underscores the importance of timely detection and isolation of infected trees for effective prevention and
Externí odkaz:
https://doaj.org/article/ee731fce66c04fc4a2a05f0766f4e83f
Autor:
Xinyu Zheng, Hao Wang, Chen Dong, Xiongwei Lou, Dasheng Wu, Luming Fang, Dan Dai, Liuchang Xu, Xingyu Xue
Publikováno v:
Forests, Vol 15, Iss 8, p 1315 (2024)
Estimating tree height at the national to regional scale is crucial for assessing forest health and forest carbon storage and understanding forest ecosystem processes. It also aids in formulating forest management and restoration policies to mitigate
Externí odkaz:
https://doaj.org/article/8bcb681b2f92499ba9e160ed47577f41
Publikováno v:
Forests, Vol 15, Iss 3, p 533 (2024)
The assessment of a forest’s structure is pivotal in guiding effective forest management, conservation efforts, and ensuring sustainable development. However, traditional evaluation methods often focus on isolated forest parameters and incur substa
Externí odkaz:
https://doaj.org/article/9698fba763b44924ae0f2f7340bdf5ad
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionAccurate grading identification of tea buds is a prerequisite for automated tea-picking based on machine vision system. However, current target detection algorithms face challenges in detecting tea bud grades in complex backgrounds. In th
Externí odkaz:
https://doaj.org/article/cb4eb87fe25f4ac1bea3357746c86d11
Publikováno v:
Forests, Vol 14, Iss 8, p 1630 (2023)
Forest ecological function is one of the key indicators reflecting the quality of forest resources. The traditional weighting method to assess forest ecological function is based on a large amount of ground survey data; it is accurate but costly and
Externí odkaz:
https://doaj.org/article/7e81837ebc9b4131a55f0570c31e2a80
Autor:
Dasheng Wu, Feng Chen
Publikováno v:
Systems, Vol 11, Iss 7, p 333 (2023)
To factor in the retailer’s overconfidence when dealing with the inventory problem with supply uncertainty, this paper develops a distributionally robust optimization model by only considering the mean and variance of the yield rate distribution. W
Externí odkaz:
https://doaj.org/article/bd7d488dd9f5458e96da268b7c7a039d
Publikováno v:
Sensors, Vol 23, Iss 9, p 4234 (2023)
Accurate recognition of the flowering stage is a prerequisite for flower yield estimation. In order to improve the recognition accuracy based on the complex image background, such as flowers partially covered by leaves and flowers with insignificant
Externí odkaz:
https://doaj.org/article/ee66db6dbc384db7bc04392ad881cf87
Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma
Autor:
Jifei Wang, Dasheng Wu, Meili Sun, Zhenpeng Peng, Yingyu Lin, Hongxin Lin, Jiazhao Chen, Tingyu Long, Zi-Ping Li, Chuanmiao Xie, Bingsheng Huang, Shi-Ting Feng
Publikováno v:
BME Frontiers, Vol 2022 (2022)
Objective and Impact Statement. This study developed and validated a deep semantic segmentation feature-based radiomics (DSFR) model based on preoperative contrast-enhanced computed tomography (CECT) combined with clinical information to predict earl
Externí odkaz:
https://doaj.org/article/3708153ccf3e4fdca7add17065dd0642
Publikováno v:
Forests, Vol 13, Iss 9, p 1471 (2022)
The forest growing stock is one of the key indicators in monitoring forest resources, and its quantitative estimation is of great significance. Based on multi-source data, including Sentinel-1 radar remote sensing data, Sentinel-2 optical remote sens
Externí odkaz:
https://doaj.org/article/4da843e363484b1ca75f98e017b2ef70
Publikováno v:
Forests, Vol 13, Iss 5, p 787 (2022)
The forest stock volume (FSV) is one of the crucial indicators to reflect the quality of forest resources. Variable selection methods are usually used for FSV estimated models. However, few studies have explored which variable selection methods can m
Externí odkaz:
https://doaj.org/article/543f9a0c55414ae68f8448ca3b326b33