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pro vyhledávání: '"Ruilin Ouyang"'
Publikováno v:
Operations Research Forum. 4
Abstract Emergency medical services (EMS) aims to deliver timely ambulatory care to incidents in communities. However, the operations of EMS may contend with suddenly increasing demands resulting from unexpected disasters such as disease outbreaks (e
Autor:
Chun-An Chou, Amy V. Mueller, Rohit Bokade, Alfred Navato, Ruilin Ouyang, Sarah Ostadabbas, Xiaoning Jin
Publikováno v:
Expert Systems with Applications. 165:113885
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of different dimensionality, resolution, type, etc.) to generate information in a form that is more understandable or usable. Despite the explosion of data availability
Autor:
Ruilin Ouyang, Chun-An Chou
Publikováno v:
Computers & Operations Research. 124:105049
In this paper, we present a new integrated optimization model and a greedy algorithm for generating patterns, directly derived from original data instead of binarized data, in logical analysis of data (LAD). Pattern generation, following data discret
Publikováno v:
Computers & Industrial Engineering. 143:106385
In prior literature regarding facility location problems, there has been little explicit acknowledgement of problems arising from concave (non-convex) regions. This issue extends to computational geometry as a whole, as there is a distinct deficiency
Publikováno v:
International Journal of Operational Research. 38:295
Healthcare facility location decisions are of great importance due to their impact on direct and social cost of people's well-being in a region. Optimal location decisions considering only current demand may become suboptimal as demand distribution c