Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Kaijun, Leng"'
Publikováno v:
IEEE Access, Vol 8, Pp 130367-130378 (2020)
Background subtraction is commonly employed in foreground object detection in urban traffic scenes. Most of the current color or texture feature-based background subtraction models are easily contaminated by sudden and gradual illumination variations
Externí odkaz:
https://doaj.org/article/51b62c11abb547b6ad552b88545c5d9f
Publikováno v:
IEEE Sensors Journal. 22:23042-23050
Publikováno v:
Open Physics, Vol 15, Iss 1, Pp 87-96 (2017)
Since facility location decisions problem include long-term character and potential parameter variations, it is important to consider uncertainty in its modeling. This paper examines robust facility location problem considering supply uncertainty, in
Externí odkaz:
https://doaj.org/article/55ec8af587b7450e8aea3d9c57686d0f
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena August 2016 89:335-347
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
Information Systems and e-Business Management.
Publikováno v:
Sustainability; Volume 14; Issue 8; Pages: 4651
To reduce distribution risk and improve the efficiency of medical materials delivery under major public health emergencies, this paper introduces a drone routing problem with time windows. A mixed-integer programming model is formulated considering c
Publikováno v:
Article
The past decade has witnessed a remarkable growth of automobile sales and production in emerging economies, with China developing into the largest global auto market since 2009. This paper focuses on an important but neglected aspect in these emergin
Publikováno v:
IEEE Access, Vol 8, Pp 130367-130378 (2020)
Background subtraction is commonly employed in foreground object detection in urban traffic scenes. Most of the current color or texture feature-based background subtraction models are easily contaminated by sudden and gradual illumination variations