supported by the Project of National Natural Science Foundation of China(22102095,21773153);the National Key Basic Research and Development Program(2018YFB1502001);financial support from the program of China Scholarships Council(No.202306230242).
Particulate photocatalytic systems using nanoscale photocatalysts have been developed as an attractive promising route for solar energy utilization to achieve resource sustainability and environmental harmony.Dynamic ...
supported by the National Natural Science Foundation of China under Grant 62107034;the Major Science and Technology Project of Yunnan Province(202402AD080002);Yunnan International Joint R&D Center of China-Laos-Thailand Educational Digitalization(202203AP140006).
The task of student action recognition in the classroom is to precisely capture and analyze the actions of students in classroom videos,providing a foundation for realizing intelligent and accurate teaching.However,th...
supported by the Project of China Southern Power Grid Digital Grid Research Institute Co.,Ltd.(210002KK52222026)。
By modeling the spatiotemporal data of the power grid, it is possible to better understand its operational status, identify potential issues and risks, and take timely measures to adjust and optimize the system. Compa...
supported by the National Natural Science Foundation of China(Grant Nos.42394131&42274005)。
To accurately evaluate the Antarctic Ice Sheet(AIS)mass change rate and its spatiotemporal characteristics,we derive the AIS mass change series from April 2002 to December 2023 using an improved point-mass model appro...
supported by the National Natural Science Foundation of China(No.42025705);the Construction Project of Modern Agricultural Science and Technology Innovation Alliance of Guangdong Province,China(No.2023KJ112);the National Natural Science Foundation of China(Nos.41977291 and 42177242);the GDAS’Project of Science and Technology Development,China(No.2019GDASYL-0103048).
Coal power plants annually generate quantities of byproducts that release environmentally hazardous heavy metals like Cd and Pb.Understanding the behavior and spatiotemporal impacts on soils of these releases is cruci...
supported by the funding provided by the State Key Laboratory of Hydraulics and Mountain River Engineering(SKHL2210);National Natural Science Foundation of China(42171304);the Sichuan Science and Technology Program(2023YFS0380);Natural Science Foundation of Jiangsu Province of China(BK20242018)。
The Yellow River Basin in Sichuan Province(YRS)is undergoing severe soil erosion and exacerbated ecological vulnerability,which collectively pose formidable challenges for regional water conservation(WC)and sustainabl...
The integration of deep learning into smart grid operations addresses critical challenges in dynamic load forecasting and optimal dispatch amid increasing renewable energy penetration.This study proposes a hybrid LSTM...
The National Social Science Foundation Art Project of China(21BH157)。
Based on data from Beijing museums spanning 1980 to 2020,this study employs spatial analysis methods such as geographical concentration index,imbalance index,kernel density and standard deviation ellipse characterize ...
Predicting short-term traffic crashes is chal-lenging due to an imbalanced data set characterized by excessive zeros in noncrash counts,random crash occur-rences,spatiotemporal correlation in crash counts,and inherent...
supported by the National Natural Science Foundation of China(Grant Nos.42330610 and 42075010)。
The Sichuan Basin(SCB),China has a high incidence of extremely persistent heavy rainfall(EPHR)events.The EPHR events from 2009 to 2019 in the SCB were mainly concentrated over the northern and northwestern windward sl...