Zobrazeno 1 - 10
of 3 327
pro vyhledávání: '"LI Xiaoxiao"'
Publikováno v:
陆军军医大学学报, Vol 45, Iss 17, Pp 1877-1882 (2023)
Objective To summarize the clinical characteristics, treatment regimens, and outcomes of IgG4-related sinusitis in order to improve clinicians' knowledge of the disease. Methods A retrospective descriptive study was conducted on 3 cases of IgG4-relat
Externí odkaz:
https://doaj.org/article/64800c3284f24c6f8b67e762ff957d08
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 17, Pp 2176-2182 (2023)
A common complication of stroke patients is post-stroke cognitive impairment (PSCI) , which significantly reduces their quality of life. There are no effective targeted treatment measures currently available for PSCI in clinical practice. A large num
Externí odkaz:
https://doaj.org/article/3661944ca9494adfb9b866999661a117
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper focuses on the symbiotic development of rural e-commerce and logistics by exploring the intersection of fusion modeling with public management. By leveraging data fusion and logistics optimization, we address the burgeoning needs of rural
Externí odkaz:
https://doaj.org/article/7fa0d327dc774ab2af4c05e6346b8a01
Publikováno v:
电力工程技术, Vol 42, Iss 2, Pp 147-153 (2023)
Since cables laying in the tunnel have high load capacity and convenient maintenance, they have been widely used in the urban power grid. In order to make full use of transmission capacity, a phase sequence optimization method of tunnel multi-circuit
Externí odkaz:
https://doaj.org/article/b1bcae74cedf44ec99f441c78b2f9b4c
Robots are increasingly deployed in dynamic and crowded environments, such as urban areas and shopping malls, where efficient and robust navigation is crucial. Traditional risk-based motion planning algorithms face challenges in such scenarios due to
Externí odkaz:
http://arxiv.org/abs/2411.00440
Federated learning (FL) is a learning paradigm that enables collaborative training of models using decentralized data. Recently, the utilization of pre-trained weight initialization in FL has been demonstrated to effectively improve model performance
Externí odkaz:
http://arxiv.org/abs/2410.23660
Autor:
Deng, Wenlong, Zhao, Yize, Vakilian, Vala, Chen, Minghui, Li, Xiaoxiao, Thrampoulidis, Christos
Storing open-source fine-tuned models separately introduces redundancy and increases response times in applications utilizing multiple models. Delta-parameter pruning (DPP), particularly the random drop and rescale (DARE) method proposed by Yu et al.
Externí odkaz:
http://arxiv.org/abs/2410.09344
Identifying unusual brain activity is a crucial task in neuroscience research, as it aids in the early detection of brain disorders. It is common to represent brain networks as graphs, and researchers have developed various graph-based machine learni
Externí odkaz:
http://arxiv.org/abs/2410.02087
Standard deep learning-based classification approaches may not always be practical in real-world clinical applications, as they require a centralized collection of all samples. Federated learning (FL) provides a paradigm that can learn from distribut
Externí odkaz:
http://arxiv.org/abs/2409.07351
We define a triangle design as a partition of the set of $2$-dimensional subspaces of an $n$-dimensional vector space into triangles, where a triangle consists of three subspaces with the trivial, $0$-dimensional, intersection and $1$-dimensional mut
Externí odkaz:
http://arxiv.org/abs/2407.19157