supported by the Fujian Science and Technology Program(grant numbers 2021Y0074);the Fujian Science and Technology Innovation Fund(grant numbers 2020SHQM14;XIQM009).
To quickly detect and count the number of bayberry trees,this paper improves the YOLO-v4 model and proposes an optimal YOLO-v4 method for detecting bayberry trees based on UAV images.We used the Leaky_ReLU activation ...
This project was supported by Key Research and Development Program(2018YFB1003403);the National Natural Science Foundation of China(Grant Nos.61732014,61672432,61672434);Natural Science Basic Research Plan in Shaanxi Province of China(2017JM6104).
Collecting statistics is a time-and resource-consuming operation in database systems.It is even more challenging to efficiently collect statistics without affecting system performance,meanwhile keeping correctness in ...
There is a rapidly emerging and potentially huge market for the remediation of contaminated ground- water in China. The Chinese government published a Water Action Plan in April 2015, a Soil Action Plan in May 2016, a...
This work was partially supported by the National Natural Science Foundation of China and Research Granting Committee of Hong Kong
Traditional econometrics has long employed "points" to measure time series data. In real life situations, however, it suffers the loss of volatility information, since many variables are bounded by intervals in a gi...
In atmospheric data assimilation systems, the forecast error covariance model is an important component. However, the paralneters required by a forecast error covariance model are difficult to obtain due to the absenc...