Výsledky vyhledávání - "Zongsheng Wang"

Akademický článek

Promoting active aging through assistive product design innovation: a preference-based integrated design framework

Autor: Baoyi Zhang, Minyuan Ma, Zongsheng Wang

Publikováno v: Frontiers in Public Health, Vol 11 (2023)

BackgroundWith the accelerating trend of global aging, over one billion people need to use one or more types of assistive products. However, the high abandonment rate of current assistive products is affecting the quality of life of the older adults,

Externí odkaz: https://doaj.org/article/48930a45163340ffb59aefd108bf6c28

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Akademický článek

RETRACTED: The value, diagnostic efficacy and clinical significance of functional magnetic resonance imaging in evaluating the efficacy of neoadjuvant chemotherapy in patients with triple negative breast cancer

Autor: Xiaoping He, Zongsheng Wang, Ying Zhou, Yongli Feng

Publikováno v: Frontiers in Oncology, Vol 13 (2023)

BackgroundBreast cancer (BC) is a common malignant tumor in female. In recent years, with the change of fertility pattern and lifestyle, the incidence of breast cancer is increasing year by year, seriously endangering the health and life of women. MR

Externí odkaz: https://doaj.org/article/fbf2983c3ba640cd85b39bd711f842a5

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Akademický článek

An Adaptive Sliding Mode Motion Control Method of Remote Operated Vehicle

Autor: Zongsheng Wang, Yue Liu, Zhendong Guan, Yan Zhang

Publikováno v: IEEE Access, Vol 9, Pp 22447-22454 (2021)

Aiming at the problems of unstable motion and low tracking accuracy caused by complex external disturbance during the movement of the remote operated vehicle(ROV), the adaptive control method and sliding mode control method are combined to propose a

Externí odkaz: https://doaj.org/article/2ea68a326ec54633a0e684f87c048d92

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Akademický článek

An Underwater Single Target Tracking Method Using SiamRPN++ Based on Inverted Residual Bottleneck Block

Autor: Zongsheng Wang, Jiaqi Wang, Ruxin Fan

Publikováno v: IEEE Access, Vol 9, Pp 25148-25157 (2021)

Traditional tracking algorithms reply on manually extracted features while deep learning algorithms can automatically extract features, which is of great importance for single target tracking in the complex underwater environment that is characterize

Externí odkaz: https://doaj.org/article/76dd7f7ff2c34c88a86fc003574fa47c

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The value, diagnostic efficacy and clinical significance of functional magnetic resonance imaging in evaluating the efficacy of neoadjuvant chemotherapy in patients with triple negative breast cancer

Autor: Xiaoping He, Zongsheng Wang, Ying Zhou, Yongli Feng

Publikováno v: Frontiers in Oncology. 13

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef5c964a595b55e135355e538d572144
https://doi.org/10.3389/fonc.2023.1132186

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