Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Jiawei Mo"'
Autor:
Jianqiang Lu, Hongbin Qiu, Qing Zhang, Yubin Lan, Panpan Wang, Yue Wu, Jiawei Mo, Wadi Chen, HongYu Niu, Zhiyun Wu
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
During the growth season, jujube trees are susceptible to infestation by the leaf mite, which reduces the fruit quality and productivity. Traditional monitoring techniques for mites are time-consuming, difficult, subjective, and result in a time lag.
Externí odkaz:
https://doaj.org/article/4d6024fc76084d55bce32cb74fd4300a
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 13, p 6892 (2022)
Disuse muscle atrophy is identified as the physiological, biochemical, morphological, and functional changes during restricted movement, immobilization, or weightlessness. Although its internal mechanism has been extensively studied in mammals and wa
Externí odkaz:
https://doaj.org/article/5b2dbd88103945bbad1e803921c9e902
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-8 (2018)
Abstract In VANET (vehicular ad hoc network), a negative message has an objective vehicle and describes the negative attributes of the vehicle. Broadcasting negative messages in VANET is essential to make the VANET secure for these messages are about
Externí odkaz:
https://doaj.org/article/26aeb8ab4e6542aabdf0d53858be383d
Autor:
Jianqiang Lu, Weize Lin, Pingfu Chen, Yubin Lan, Xiaoling Deng, Hongyu Niu, Jiawei Mo, Jiaxing Li, Shengfu Luo
Publikováno v:
Sensors, Vol 21, Iss 23, p 7929 (2021)
At present, learning-based citrus blossom recognition models based on deep learning are highly complicated and have a large number of parameters. In order to estimate citrus flower quantities in natural orchards, this study proposes a lightweight cit
Externí odkaz:
https://doaj.org/article/5210d0deff2b4afb99c756ace1a4562b
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3919 (2021)
Instance segmentation of fruit tree canopies from images acquired by unmanned aerial vehicles (UAVs) is of significance for the precise management of orchards. Although deep learning methods have been widely used in the fields of feature extraction a
Externí odkaz:
https://doaj.org/article/6ef9119b57b04adebe2c9e0a2330e60a
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
Stability and security are the key directions of VANET (vehicular ad hoc network) research. In order to solve the related problems in VANET, an improved AODV (ad hoc on-demand distance vector) routing protocol based on fuzzy neural network, namely, G
Externí odkaz:
https://doaj.org/article/aa220ed2c516451785719579b0286a68
Publikováno v:
Separation and Purification Technology. 314:123523
Autor:
Jiawei Mo
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Remote Sensing; Volume 13; Issue 19; Pages: 3919
Remote Sensing, Vol 13, Iss 3919, p 3919 (2021)
Remote Sensing, Vol 13, Iss 3919, p 3919 (2021)
Instance segmentation of fruit tree canopies from images acquired by unmanned aerial vehicles (UAVs) is of significance for the precise management of orchards. Although deep learning methods have been widely used in the fields of feature extraction a