Zobrazeno 1 - 10
of 7 282
pro vyhledávání: '"HE, Fang"'
Autor:
He, Fang
With the rapid development of economy and global trade, flying has increasingly become the main way for people to travel, and taxi is the main transfer tool of the airport, especially in the airport with wide passenger sources and large passenger flo
Externí odkaz:
http://arxiv.org/abs/2408.11867
Like Graph Neural Networks (GNNs), Signed Graph Neural Networks (SGNNs) are also up against fairness issues from source data and typical aggregation method. In this paper, we are pioneering to make the investigation of fairness in SGNNs expanded from
Externí odkaz:
http://arxiv.org/abs/2408.08508
In the contemporary logistics industry, automation plays a pivotal role in enhancing production efficiency and expanding industrial scale. Autonomous mobile robots, in particular, have become integral to the modernization efforts in warehouses. One n
Externí odkaz:
http://arxiv.org/abs/2404.04832
We address a dynamic pricing problem for airlines aiming to maximize expected revenue from selling cargo space on a single-leg flight. The cargo shipments' weight and volume are uncertain and their precise values remain unavailable at the booking tim
Externí odkaz:
http://arxiv.org/abs/2404.04831
This study proposes an innovative model-based modular approach (MMA) to dynamically optimize order matching and vehicle relocation in a ride-hailing platform. MMA utilizes a two-layer and modular modeling structure. The upper layer determines the spa
Externí odkaz:
http://arxiv.org/abs/2310.09071
The integrated development of city clusters has given rise to an increasing demand for intercity travel. Intercity ride-pooling service exhibits considerable potential in upgrading traditional intercity bus services by implementing demand-responsive
Externí odkaz:
http://arxiv.org/abs/2307.06742
Autor:
Zhi‐wei Feng, He‐fang Xiao, Xing‐wen Wang, Yong‐kang Niu, Da‐cheng Zhao, Cong Tian, Sheng‐hong Wang, Bo Peng, Fei Yang, Bin Geng, Ming‐gang Guo, Xiao‐yun Sheng, Ya‐yi Xia
Publikováno v:
Orthopaedic Surgery, Vol 16, Iss 6, Pp 1418-1433 (2024)
Objective Bone marrow mesenchymal stem cells (BMSCs) show significant potential for osteogenic differentiation. However, the underlying mechanisms of osteogenic capability in osteoporosis‐derived BMSCs (OP‐BMSCs) remain unclear. This study aims t
Externí odkaz:
https://doaj.org/article/30c9093eddae49e7b308bd569d939089
Autor:
Feng, Zhi‐wei1,2,3,4 (AUTHOR), Xiao, He‐fang1,3,4 (AUTHOR), Wang, Xing‐wen1,3,4 (AUTHOR), Niu, Yong‐kang1,3,4 (AUTHOR), Zhao, Da‐cheng1,3,4 (AUTHOR), Tian, Cong1,3,4 (AUTHOR), Wang, Sheng‐hong1,3,4 (AUTHOR), Peng, Bo1,3,4 (AUTHOR), Yang, Fei1,2,3,4 (AUTHOR), Geng, Bin1,3,4 (AUTHOR), Guo, Ming‐gang2 (AUTHOR), Sheng, Xiao‐yun1,3,4 (AUTHOR) shengxy20@lzu.edu.cn, Xia, Ya‐yi1,3,4 (AUTHOR) xiayy@lzu.edu.cn
Publikováno v:
Orthopaedic Surgery. Jun2024, Vol. 16 Issue 6, p1418-1433. 16p.
Federated learning (FL) enables geographically dispersed edge devices (i.e., clients) to learn a global model without sharing the local datasets, where each client performs gradient descent with its local data and uploads the gradients to a central s
Externí odkaz:
http://arxiv.org/abs/2212.08272
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
PurposeRefractive errors, particularly myopia, constitute a significant global public health concern, contributing to morbidity and disability. A more comprehensive understanding of the determinants of refractive errors and the differences between ur
Externí odkaz:
https://doaj.org/article/6e562bd62ab1442e84643911a19910e7