Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Maoling Yan"'
Autor:
Mingjun Chen, Maoling Yan, Yili Kang, Sidong Fang, Hua Liu, Weihong Wang, Jikun Shen, Zhiqiang Chen
Publikováno v:
Energies, Vol 15, Iss 23, p 9176 (2022)
Hydraulic fracturing of shale gas reservoirs is characterized by large fracturing fluid consumption, long working cycle and low flowback efficiency. Huge amounts of fracturing fluid retained in shale reservoirs for a long time would definitely cause
Externí odkaz:
https://doaj.org/article/f15454c3f79446cf8c371050def736c9
Autor:
Maoling Yan, Pingzeng Liu, Fujiang Wen, Chao Zhang, Rui Zhao, Weijie Chen, Xuefei Liu, Yuqi Liu
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-10 (2018)
Abstract In order to strengthen the scientific management of saline-alkali land and the accurate management of agricultural production, a scientific data governance platform for saline-alkali land was developed. Based on the data accumulation of big
Externí odkaz:
https://doaj.org/article/293d3bdf132445dc814621361a798c27
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-10 (2018)
Abstract In view of the problems existing in the processing of duck products, such as complicated technology, difficulties in information collection and information linkage, and lack of dedicated information collection equipment, the duck product tra
Externí odkaz:
https://doaj.org/article/4ca576869a8b49f7b05d3f028ebe27b5
Autor:
Ning Cao, Pingzeng Liu, Guofu Li, Ce Zhang, Shaohua Cao, Guangsheng Cao, Maoling Yan, Brij Bhooshan Gupta
Publikováno v:
IEEE Access, Vol 6, Pp 77043-77054 (2018)
Wireless sensor networks (WSNs) have been pushed to the forefront in the past decade, owing to the advert of the Internet of Things. Our research suggests that the reliability and lifetime performance of a typical application in WSNs depends cruciall
Externí odkaz:
https://doaj.org/article/260f9cf3ed9a4b88a7695c0bd4520e27
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 35:1325-1337
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::279fa55cc8bacf4d422d6d3514bb653f
https://doi.org/10.3233/jifs-169676
https://doi.org/10.3233/jifs-169676
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-10 (2018)
In view of the problems existing in the processing of duck products, such as complicated technology, difficulties in information collection and information linkage, and lack of dedicated information collection equipment, the duck product traceability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d0e4f66eb2b9361a8a29499705badc5
http://link.springer.com/article/10.1186/s13638-018-1144-z
http://link.springer.com/article/10.1186/s13638-018-1144-z
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 10:2929-2943
The i.i.d assumption is the corner stone of most conventional machine learning algorithms. However, reducing the bias and variance of the learning model on the i.i.d dataset may not help the model to prevent from their failure on the adversarial samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2c4c7e8130b437ddb4476cfa7a20ac8
https://doi.org/10.1007/s12652-018-0714-6
https://doi.org/10.1007/s12652-018-0714-6
Autor:
Pingzeng Liu, Ning Cao, Maoling Yan, Guofu Li, Ce Zhang, Brij B. Gupta, Guangsheng Cao, Shaohua Cao
Publikováno v:
IEEE Access, Vol 6, Pp 77043-77054 (2018)
Wireless sensor networks (WSNs) have been pushed to the forefront in the past decade, owing to the advert of the Internet of Things. Our research suggests that the reliability and lifetime performance of a typical application in WSNs depends cruciall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdf90677deb51d794f549f8bd8599f7d
https://doi.org/10.1109/access.2018.2825441
https://doi.org/10.1109/access.2018.2825441
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111373- (2024)
Trend testing is essential for time sequence analysis. However, the existing trend testing methods mainly study the trends of the sequence as a whole, while there is a lack of feasible research tools for the internal trends of the sequence. Therefore
Externí odkaz:
https://doaj.org/article/efb321948efe49bf82ed9328aef76415
Autor:
Maoling Yan, Pingzeng Liu, Cezhong Tong, Xiujuan Wang, Fujiang Wen, Changqing Song, Russell Higgs, Gregory M.P. O', N.A. Hare
Publikováno v:
International Journal of Embedded Systems. 12:81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad1f26b7978f11d688a861351ebd5103
https://doi.org/10.1504/ijes.2020.105282
https://doi.org/10.1504/ijes.2020.105282