IEEE Trans Neural Netw Learn Syst
April 2024
Graph convolutional networks (GCNs) have been widely used in skeleton-based action recognition. However, existing approaches are limited in fine-grained action recognition due to the similarity of interclass data. Moreover, the noisy data from pose extraction increase the challenge of fine-grained recognition.
View Article and Find Full Text PDFHuan Jing Ke Xue
June 2016
The biogeochemical cycle of nitrogen in the aquatic environment is the research hotspot in the world all the time. Nitrification and denitrification are the special processes of the microorganisms, and also the key steps in the nitrogen biogeochemical cycle possessing great significance in the freshwater ecosystem. In the processes of outbreaks of cyanobacterial blooms, total nitrogen, chlorophyll a, dissolved oxygen and pH decreased sharply, whilst dissolved organic carbon and ammonium nitrogen increased.
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