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Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
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Qianyang Li and Xingjun Zhang
For time series forecasting, multivariate grey models are excellent at handling incomplete or vague information. The GM(1, N) model represents this group of models and has been widely used in various fields. However, constructing a meaningful GM(1, N) mo...
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Lei Li, Yamin Wu, Houqiao Wang, Junjie He, Qiaomei Wang, Jiayi Xu, Yuxin Xia, Wenxia Yuan, Shuyi Chen, Lin Tao, Xinghua Wang and Baijuan Wang
To investigate the variation in flavonoids content in ancient tree sun?dried green tea under abiotic stress environmental conditions, this study determined the flavonoids content in ancient tree sun-dried green tea and analyzed its correlation with corre...
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WoonSeong Jeong, ByungChan Kong and Sang-Guk Yum
The demand for compact housing is on the rise, driven by the need for floor plans that accommodate stakeholders? preferences. However, clients frequently struggle to convey their spatial needs to professionals, such as architects, due to a lack of means ...
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Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims...
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