Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Yingyu Wu"'
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 2, Pp 268-276 (2024)
UAV (Unmanned Aerial Vehicle) infrared object detection is crucial in pedestrian monitoring and traffic dispatch, which detects and locates objects in infrared images. In light of issues such as unnoticeable texture features and limited resolution of
Externí odkaz:
https://doaj.org/article/749062adbdab44ddab62b20d3eb3721f
Autor:
Shuai Yuan, Yingyu Wu
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
ObjectiveTo systematically estimate and compare the effectiveness and cost-effectiveness of the glucagon-like peptide-1 receptor agonists (GLP-1RAs) approved in China and to quantify the relationship between the burden of diabetic comorbidities and g
Externí odkaz:
https://doaj.org/article/69f8c7f8ee4f4f54a846c7b61caa8931
Publikováno v:
Buildings, Vol 14, Iss 1, p 154 (2024)
The cement industry’s intricate production process, including kiln heating and fossil fuel use, contributes 5–8% of global CO2 emissions, marking it as a significant carbon emitter in construction. This study focuses on quantifying CO2 capture po
Externí odkaz:
https://doaj.org/article/9721c700d8614c028938f416cf952315
Publikováno v:
PeerJ, Vol 10, p e14457 (2022)
Background Chronic obstructive pulmonary disease (COPD) is a serious condition with a poor prognosis. No clinical study has reported an individual-level mortality risk curve for patients with COPD. As such, the present study aimed to construct a prog
Externí odkaz:
https://doaj.org/article/285d8425fb18472c82b08735e2744b6b
Publikováno v:
PeerJ, Vol 10, p e14004 (2022)
Background The problem of global aging was becoming increasingly prominent. At present, the empty nest and miniaturization of family structure reduce the function of home-based elderly care. Methods A questionnaire survey was conducted on 347 elderly
Externí odkaz:
https://doaj.org/article/59ed77c2297c47e39b12931df490d284
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Given the current unstable and unpredictable circumstances, especially due to the COVID-19 education system has evolved, requiring frequently distinct skills, and coping behavior. This study intended to empirically test the impact of perceived skills
Externí odkaz:
https://doaj.org/article/83dd57e09bb840b2a2014bb075017ac5
Publikováno v:
Entropy, Vol 24, Iss 8, p 1121 (2022)
Deep-learning techniques have significantly improved object detection performance, especially with binocular images in 3D scenarios. To supervise the depth information in stereo 3D object detection, reconstructing the 3D dense depth of LiDAR point cl
Externí odkaz:
https://doaj.org/article/bb88f56231334516819aedc622628c07
Publikováno v:
Entropy, Vol 24, Iss 2, p 292 (2022)
Channel estimation is a challenging task in a millimeter-wave (mm Wave) massive multiple-input multiple-output (MIMO) system. The existing deep learning scheme, which learns the mapping from the input to the target channel, has great difficulty in es
Externí odkaz:
https://doaj.org/article/92d8d8e2b5fb48d6ad7400be337b7135
Autor:
Xin Jiang, Jiahao Li, Jingmei Xie, Zhuoru Liang, Ning Wan, Jie Jiang, Tiantian Zhang, Yingyu Wu
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Background: Endoscopic submucosal dissection (ESD) was commonly used for en bloc resection in gastric cancer and adenoma with the risk of delayed bleeding after ESD. We conducted a direct and indirect comparison meta-analysis to evaluate the best cho
Externí odkaz:
https://doaj.org/article/2af1651f634444fc9dd002ec21486820
Autor:
Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, Christoph Richter, Lukas Everding, Xingwei Qu, Yingyu Wu, Gordon Cheng, Jörg Conradt
Publikováno v:
Sensors, Vol 19, Iss 1, p 210 (2019)
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.
Externí odkaz:
https://doaj.org/article/b64169d6a1bb40e5a5f3bf8f754580a2