Zobrazeno 1 - 10
of 2 960
pro vyhledávání: '"LIU Xiaoguang"'
Autor:
YANG Chuanxi, LIU Xiaoguang, GAO Chang, WANG Xiaoning, LIU Yonglin, DONG Wenping, LIU Lin, SUN Haofen, LIU Changqing, WANG Weiliang
Publikováno v:
Gongye shui chuli, Vol 44, Iss 1, Pp 22-31 (2024)
Photocatalytic technology shows significant advantages in environmental remediation and catalysis due to use clean solar energy directly and highly mineralization of pollutants. Metal oxides photocatalysts have the disadvantages of a large band gap a
Externí odkaz:
https://doaj.org/article/c5fb5919cc8745c090c931cb1e4bbb9b
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, firstly, we propose the eigenvalue-based goodness-of-fit algorithm to evaluate intestinal microorganisms and liver cancer, based on the basic principle of one-sided right-tailed fitting criterion, using the covariance matrix of the sig
Externí odkaz:
https://doaj.org/article/3d8b10b7f7db4a01b8c778ecae4752dc
Autor:
Hai Bao, Mao Tianli, Du Chuanchao, Jia Fei, Liu Yu, Song Qingpeng, Pan Xiaoyu, Liu Xiaoguang, Zhu Bin
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1720-1730 (2022)
Intervertebral disc degeneration (IVDD) is a general disorder that results in low back pain and disability among many affected individuals. However, the current treatments for IVDD are limited to relieving the symptoms but do not solve the fundamenta
Externí odkaz:
https://doaj.org/article/98772ccb750d48e8a214527145d09967
Reducing latency is a roaring trend in recent super-resolution (SR) research. While recent progress exploits various convolutional blocks, attention modules, and backbones to unlock the full potentials of the convolutional neural network (ConvNet), a
Externí odkaz:
http://arxiv.org/abs/2409.13435
Model heterogeneous federated learning (MHeteroFL) enables FL clients to collaboratively train models with heterogeneous structures in a distributed fashion. However, existing MHeteroFL methods rely on training loss to transfer knowledge between the
Externí odkaz:
http://arxiv.org/abs/2406.00488
Publikováno v:
SHS Web of Conferences, Vol 174, p 02005 (2023)
Taking the idea of “reflective and critical optimization thinking”, this article first examines “the outlook on development of big mathematics” in International Mathematics Day in 2003 from the perspective of the history of mathematics. Then
Externí odkaz:
https://doaj.org/article/39f3dea49d974f9083e513160ec8c552
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 46, Iss 2, Pp 178-182 (2019)
Chordoma is a rare primary malignant bone tumor derived from notochord remnants. Due to its strong local invasiveness and chemotherapy resistance, chordoma has a high local recurrence rate and poor prognosis. Although previous studies identified many
Externí odkaz:
https://doaj.org/article/17368a7c2af241bb9da74beb0d7b73bd
Model-heterogeneous personalized federated learning (MHPFL) enables FL clients to train structurally different personalized models on non-independent and identically distributed (non-IID) local data. Existing MHPFL methods focus on achieving client-l
Externí odkaz:
http://arxiv.org/abs/2404.17847
Vector data management systems (VDMSs) have become an indispensable cornerstone in large-scale information retrieval and machine learning systems like large language models. To enhance the efficiency and flexibility of similarity search, VDMS exposes
Externí odkaz:
http://arxiv.org/abs/2404.10413
Federated learning (FL) has been widely adopted for collaborative training on decentralized data. However, it faces the challenges of data, system, and model heterogeneity. This has inspired the emergence of model-heterogeneous personalized federated
Externí odkaz:
http://arxiv.org/abs/2402.01350