Zobrazeno 1 - 10
of 1 107
pro vyhledávání: '"Wu Weili"'
Publikováno v:
口腔疾病防治, Vol 28, Iss 6, Pp 367-371 (2020)
Objective To investigate the prevalence and distribution of skeletal malocclusion and axial inclination of the maxillary central incisors in short root anomaly (SRA) patients in Kunming city, to provide some reference and guidance for SRA patients′
Externí odkaz:
https://doaj.org/article/92e23d8a2d574c4e9c6d2180ee189b28
Publikováno v:
Science and Engineering of Composite Materials, Vol 26, Iss 1, Pp 209-214 (2019)
Dough moulding compound (DMC) reinforced polymerized styrene butadiene rubber (SBR) / methyl vinyl silicone rubber (MVQ) composites were prepared, in which MVQ was matrix, DMC was a reinforcement phase and SBR was a compatibilizer. Dynamic thermomech
Externí odkaz:
https://doaj.org/article/b0c2e17a73834aff80e1d82c27253c49
Autor:
TANG Hong, WU Weili, JIN Feng, LONG Jinhua, LI Yuanyuan, LUO Xiuling, GONG Xiuyun, CHEN Xiaoxiao, ZHANG Mang, YANG Chunli
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 46, Iss 1, Pp 32-36 (2019)
Objective To explore the predictive value of neutrophil-to-lymphocyte ratio(NLR) and platelet-to-lymphocyte ratio (PLR) in the prognosis and curative effect of locally advanced nasopharyngeal carcinoma(NPC) patients. Methods We collected the clinical
Externí odkaz:
https://doaj.org/article/aadf29ea54b645a494c0e5fa42683911
Federated learning (FL) is emerging as a sought-after distributed machine learning architecture, offering the advantage of model training without direct exposure of raw data. With advancements in network infrastructure, FL has been seamlessly integra
Externí odkaz:
http://arxiv.org/abs/2310.09665
Autor:
Wang, Guanghua, Wu, Weili
In recent years, deep learning has revolutionized natural language processing (NLP) by enabling the development of models that can learn complex representations of language data, leading to significant improvements in performance across a wide range
Externí odkaz:
http://arxiv.org/abs/2310.09411
Publikováno v:
IEEE Transactions on Mobile Computing, 2023
Mobile Crowdsourcing (MCS) is a novel distributed computing paradigm that recruits skilled workers to perform location-dependent tasks. A number of mature incentive mechanisms have been proposed to address the worker recruitment problem in MCS system
Externí odkaz:
http://arxiv.org/abs/2303.12460
In this paper, we study the non-monotone DR-submodular function maximization over integer lattice. Functions over integer lattice have been defined submodular property that is similar to submodularity of set functions. DR-submodular is a further exte
Externí odkaz:
http://arxiv.org/abs/2212.06646