An Internet of Things–based simulation study on Lijiang River water environment monitoring
L Biqing, Y Xiaomei, Z Shiyong - Journal of Coastal …, 2018 - meridian.allenpress.com
ABSTRACT Biqing, L.; Xiaomei, Y., and Shiyong, Z., 2018. An Internet of Things–based
simulation study on Lijiang River water environment monitoring. In: Ashraf, MA and …
simulation study on Lijiang River water environment monitoring. In: Ashraf, MA and …
[PDF][PDF] Research on intelligent diagnosis method for large-scale ship engine fault in non-deterministic environment
D Feng, Y Li - Polish Maritime Research, 2017 - sciendo.com
Aiming at the problem of inaccurate and time-consuming of the fault diagnosis method for
large-scale ship engine, an intelligent diagnosis method for large-scale ship engine fault in …
large-scale ship engine, an intelligent diagnosis method for large-scale ship engine fault in …
[HTML][HTML] A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
R Zeng, Y Wang, W Wang - Earth Sciences Research Journal, 2018 - scielo.org.co
Although scholars have conducted numerous researches on content-based image retrieval
and obtained great achievements, they make little progress in studying remote sensing …
and obtained great achievements, they make little progress in studying remote sensing …
[HTML][HTML] Influence of pressure and water content on loess collapsibility of the Xixian new area in Shaanxi province, China
J Wang, Y Ma, Q Guo, D Chu - Earth Sciences Research Journal, 2017 - scielo.org.co
More than 40% area of the Xixian New Area is a loess deposit region, and most of the loess
landform is tableland and terrace where the thickness of loess is considerable large …
landform is tableland and terrace where the thickness of loess is considerable large …