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pro vyhledávání: '"Cheng, Lulu"'
In recent years, with the rapidly aging population, alleviating the pressure on medical staff has become a critical issue. To improve the work efficiency of medical staff and reduce the risk of infection, we consider the multi-trip autonomous mobile
Externí odkaz:
http://arxiv.org/abs/2406.13168
In the smart hospital, optimizing prescription order fulfilment processes in outpatient pharmacies is crucial. A promising device, automated drug dispensing systems (ADDSs), has emerged to streamline these processes. These systems involve human order
Externí odkaz:
http://arxiv.org/abs/2402.08683
Autor:
Zhang Jianxin, Cheng Lulu
Publikováno v:
Journal of World Languages, Vol 10, Iss 2, Pp 430-455 (2024)
Based on the ecosophy of “diversity and harmony, interaction and co-existence”, the present study analyzes the characteristics of the attitude system of news reports on the adventures of China’s wandering elephants in China Daily to investigate
Externí odkaz:
https://doaj.org/article/c63fc9b3827b40b28d4a507c25a9b310
This paper studies the scheduling of autonomous mobile robots (AMRs) at hospitals where the stochastic travel times and service times of AMRs are affected by the surrounding environment. The routes of AMRs are planned to minimize the daily cost of th
Externí odkaz:
http://arxiv.org/abs/2309.12318
Autonomous mobile robots (AMRs) play a crucial role in transportation and service tasks at hospitals, contributing to enhanced efficiency and meeting medical demands. This paper investigates the optimization problem of scheduling strategies for AMRs
Externí odkaz:
http://arxiv.org/abs/2307.16215
Reversible data hiding in encrypted domain(RDH-ED) can not only protect the privacy of 3D mesh models and embed additional data, but also recover original models and extract additional data losslessly. However, due to the insufficient use of model to
Externí odkaz:
http://arxiv.org/abs/2211.02801
Autor:
Cheng, Lulu
The wide application of the genomic microarray technology triggers a tremendous need in the development of the high dimensional genetic data analysis. Many statistical methods for the microarray data analysis consider one gene at a time, but they may
Externí odkaz:
http://hdl.handle.net/10919/52039
Publikováno v:
In Journal of Pragmatics October 2024 231:47-60
Publikováno v:
In Construction and Building Materials 27 September 2024 445
Publikováno v:
In Cement and Concrete Composites September 2024 152