Zobrazeno 1 - 10
of 963
pro vyhledávání: '"ZHOU Shuo"'
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 53-63 (2024)
ObjectiveCurrently, pig farming facilities mainly rely on manual counting for tracking slaughtered and stored pigs. This is not only time-consuming and labor-intensive, but also prone to counting errors due to pig movement and potential cheating. As
Externí odkaz:
https://doaj.org/article/9e8da6fad96f487d9c6b248efc040d46
Publikováno v:
智慧农业, Vol 5, Iss 2, Pp 1-12 (2023)
ObjectiveThe fruit load estimation of fruit tree is essential for horticulture management. Traditional estimation method by manual sampling is not only labor-intensive and time-consuming but also prone to errors. Most existing models can not apply to
Externí odkaz:
https://doaj.org/article/c2597cf513eb4d9f91f02cfd439cfcc3
Autor:
Zhou, Shuo, Zhou, Yihang, Liu, Congcong, Zhu, Yanjie, Zheng, Hairong, Liang, Dong, Wang, Haifeng
Magnetic resonance image reconstruction starting from undersampled k-space data requires the recovery of many potential nonlinear features, which is very difficult for algorithms to recover these features. In recent years, the development of quantum
Externí odkaz:
http://arxiv.org/abs/2410.09406
Autor:
Lin, Ling, Zhou, Yihang, Hu, Zhanqi, Jiang, Dian, Liu, Congcong, Zhou, Shuo, Zhu, Yanjie, Liao, Jianxiang, Liang, Dong, Zheng, Hairong, Wang, Haifeng
Tuberous sclerosis complex (TSC) manifests as a multisystem disorder with significant neurological implications. This study addresses the critical need for robust classification models tailored to TSC in pediatric patients, introducing QResNet,a nove
Externí odkaz:
http://arxiv.org/abs/2408.12615
Publikováno v:
Journal of Saudi Chemical Society, Vol 24, Iss 9, Pp 673-682 (2020)
A single dielectric barrier discharge (DBD) low-temperature plasma reactor was set up, and toluene was selected as the representative substance for volatile organic compounds (VOCs), to study the reaction products and degradation mechanism of VOCs de
Externí odkaz:
https://doaj.org/article/1b9cf948ab8e4e9a9cbea115ae3a5c12
Lateralization is a fundamental feature of the human brain, where sex differences have been observed. Conventional studies in neuroscience on sex-specific lateralization are typically conducted on univariate statistical comparisons between male and f
Externí odkaz:
http://arxiv.org/abs/2404.05781
Autor:
Tripathi, Prasun C, Tabakhi, Sina, Suvon, Mohammod N I, Schöb, Lawrence, Alabed, Samer, Swift, Andrew J, Zhou, Shuo, Lu, Haiping
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while non-invasive
Externí odkaz:
http://arxiv.org/abs/2404.04718
Autor:
Suvon, Mohammod N. I., Tripathi, Prasun C., Fan, Wenrui, Zhou, Shuo, Liu, Xianyuan, Alabed, Samer, Osmani, Venet, Swift, Andrew J., Chen, Chen, Lu, Haiping
Recent advancements in non-invasive detection of cardiac hemodynamic instability (CHDI) primarily focus on applying machine learning techniques to a single data modality, e.g. cardiac magnetic resonance imaging (MRI). Despite their potential, these a
Externí odkaz:
http://arxiv.org/abs/2403.13658
Autor:
Fan, Wenrui, Suvon, Mohammod Naimul Islam, Zhou, Shuo, Liu, Xianyuan, Alabed, Samer, Osmani, Venet, Swift, Andrew, Chen, Chen, Lu, Haiping
Vision-language pre-training (VLP) models have shown significant advancements in the medical domain. Yet, most VLP models align raw reports to images at a very coarse level, without modeling fine-grained relationships between anatomical and pathologi
Externí odkaz:
http://arxiv.org/abs/2403.10635
Autor:
Zhang, Duo, Liu, Xinzijian, Zhang, Xiangyu, Zhang, Chengqian, Cai, Chun, Bi, Hangrui, Du, Yiming, Qin, Xuejian, Peng, Anyang, Huang, Jiameng, Li, Bowen, Shan, Yifan, Zeng, Jinzhe, Zhang, Yuzhi, Liu, Siyuan, Li, Yifan, Chang, Junhan, Wang, Xinyan, Zhou, Shuo, Liu, Jianchuan, Luo, Xiaoshan, Wang, Zhenyu, Jiang, Wanrun, Wu, Jing, Yang, Yudi, Yang, Jiyuan, Yang, Manyi, Gong, Fu-Qiang, Zhang, Linshuang, Shi, Mengchao, Dai, Fu-Zhi, York, Darrin M., Liu, Shi, Zhu, Tong, Zhong, Zhicheng, Lv, Jian, Cheng, Jun, Jia, Weile, Chen, Mohan, Ke, Guolin, E, Weinan, Zhang, Linfeng, Wang, Han
The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulati
Externí odkaz:
http://arxiv.org/abs/2312.15492