Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Dayu Yu"'
Autor:
Zhipeng Cao, Liangcun Jiang, Peng Yue, Jianya Gong, Xiangyun Hu, Shuaiqi Liu, Haofeng Tan, Chang Liu, Boyi Shangguan, Dayu Yu
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1489-1508 (2024)
Artificial Intelligence (AI) Machine Learning (ML) technologies, particularly Deep Learning (DL), have demonstrated significant potential in the interpretation of Remote Sensing (RS) imagery, covering tasks such as scene classification, object detect
Externí odkaz:
https://doaj.org/article/35b755753428416f8762e33772c09a68
Publikováno v:
Geo-spatial Information Science, Pp 1-16 (2024)
The early warning of fires is pivotal for preventing substantial economic losses and ecological damage. However, the enhancement of fire model generalization performance still faces challenges due to limitations in existing fire datasets, such as ima
Externí odkaz:
https://doaj.org/article/203ed506cdc94ae49fd0c31715bbefa0
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103519- (2023)
Snow and ice albedo is a critical geographical indicator that reflects climate change on Earth. Quantifying the albedo in Greenland ice sheet, which is extensively covered with snow and ice, is key to studying changes in the energy budget in the Nort
Externí odkaz:
https://doaj.org/article/6694c2e30bbb4fbd91c63f9ae714d56f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103279- (2023)
Deep learning-based fire detection models are usually trained offline on static datasets. For continuously increasing heterogeneous sensor data, incremental learning is a resolution to enable incremental updates of models. However, it still encounter
Externí odkaz:
https://doaj.org/article/fe330d22916945229fa45df2ae2f917e
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 9, Pp 1194-1212 (2021)
It is of great significance for disaster prevention and mitigation to carry out disaster simulations for dam failure accidents in advance, but at present, there are few professional systems for disaster simulations of tailings dams. In this paper, we
Externí odkaz:
https://doaj.org/article/8f0275bffecd4370baba8c865e020f21
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 231 (2022)
Recently, deep learning has been widely used in the segmentation tasks of remote sensing images. However, the existing deep learning method most focus on local contextual information and has limited field of perception, which makes it difficult to ca
Externí odkaz:
https://doaj.org/article/8bcb0e56e75a480e88c6abde5c525448
Autor:
Fuchao Xu, Russell Butler, Kyle May, Megi Rexhepaj, Dayu Yu, Jiachen Zi, Yi Chen, Yonghong Liang, Jia Zeng, Joan Hevel, Jixun Zhan
Publikováno v:
Journal of Biological Engineering, Vol 13, Iss 1, Pp 1-14 (2019)
Abstract Background Creating designer molecules using a combination of select domains from polyketide synthases and/or nonribosomal peptide synthetases (NRPS) continues to be a synthetic goal. However, an incomplete understanding of how protein-prote
Externí odkaz:
https://doaj.org/article/cf16e281bc28487cb84afd137f200ae6
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 3, p 193 (2022)
Taxi demand forecasting plays an important role in ride-hailing services. Accurate taxi demand forecasting can assist taxi companies in pre-allocating taxis, improving vehicle utilization, reducing waiting time, and alleviating traffic congestion. It
Externí odkaz:
https://doaj.org/article/80cbf480dab3487bb75201a6385f717c
Autor:
Dayu Yu, Xiaoning Wang, Xue Fan, Huimin Ren, Shuang Hu, Lei Wang, Yunfen Shi, Na Liu, Nan Qiao
Publikováno v:
Biotechnology for Biofuels, Vol 11, Iss 1, Pp 1-12 (2018)
Abstract Background The release of refined soybean oil wastewater (RSOW) with a high chemical oxygen demand (COD) and oil content burdens the environment. The conversion of RSOW into lipids by oleaginous yeasts may be a good way to turn this waste in
Externí odkaz:
https://doaj.org/article/55ae678004034b19a01872ccdad55fab
Publikováno v:
Journal of Biological Engineering, Vol 12, Iss 1, Pp 1-11 (2018)
Abstract Background Regulatory genes play critical roles in natural product biosynthetic pathways. Chromomycins are promising anticancer natural products from actinomycetes. This study is aimed to create an efficient strain for production of these mo
Externí odkaz:
https://doaj.org/article/7d50dc56e9164463ad2dfba3aa60520c