Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Anbang Zhao"'
Autor:
Kunlei Wang, Anbang Zhao, Dilinigeer Tayier, Kai Tan, Wenjing Song, Qian Cheng, Xinyin Li, Zhinan Chen, Qifeng Wei, Yufeng Yuan, Zhiyong Yang
Publikováno v:
Cell Death Discovery, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract Obese people with acute pancreatitis (AP) have an increased risk of developing severe acute pancreatitis (SAP), which prolongs the length of hospital stay and increases mortality. Thus, elucidation of the mechanisms through which SAP occurs
Externí odkaz:
https://doaj.org/article/326383a9daa4463eb7dd3d7244803755
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1924 (2024)
The accurate detection of litchi fruit cluster is the key technology of litchi picking robot. In the natural environment during the day, due to the unstable light intensity, uncertain light angle, background clutter and other factors, the identificat
Externí odkaz:
https://doaj.org/article/41f5b077748a4f128cd6abba9edfc6ee
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1011 (2024)
Accurately identifying cherry-tomato picking points and obtaining their coordinate locations is critical to the success of cherry-tomato picking robots. However, previous methods for semantic segmentation alone or combining object detection with trad
Externí odkaz:
https://doaj.org/article/86c76a9fde0d4853b2ba39757ea6b41a
Autor:
Wenjing Song, Zhicheng Liu, Kunlei Wang, Kai Tan, Anbang Zhao, Xinyin Li, Yufeng Yuan, Zhiyong Yang
Publikováno v:
Discover Oncology, Vol 13, Iss 1, Pp 1-22 (2022)
Abstract Objective Pancreatic ductal adenocarcinoma (PDAC) has high mortality and poor prognosis. Pyroptosis can influence the prognosis of patients by regulating the proliferation, invasion, and metastasis of cancer cells. However, the role of pyrop
Externí odkaz:
https://doaj.org/article/be717e43bc4045c08f93a28d730cc428
Publikováno v:
Machines, Vol 11, Iss 8, p 834 (2023)
Computer vision technology is increasingly being widely applied in automated industrial production. However, the accuracy of workpiece detection is the bottleneck in the field of computer vision detection technology. Herein, a new object detection an
Externí odkaz:
https://doaj.org/article/4678ce2c61524de7930d8ca035ca4dbd
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3008 (2022)
Conventional energy detection is a robust method that is usually applied to underwater broadband acoustic signal processing for towed arrays. Due to its low resolution, the weak target detection performance of conventional energy detection is severel
Externí odkaz:
https://doaj.org/article/3157c18b320e4a0bb3cd91342e6fb26d
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1509 (2021)
Time reversal (TR) can achieve temporal and spatial focusing by exploiting spatial diversity in complex underwater environments with significant multipath. This property makes TR useful for underwater acoustic (UWA) communications. Conventional TR is
Externí odkaz:
https://doaj.org/article/305de76a477846c78ddddfe4f192e6f8
Publikováno v:
Sensors, Vol 18, Iss 10, p 3279 (2018)
Due to the significant multipath and Doppler effects in the underwater acoustic (UWA) channel, the quality of the received signal is degraded, which seriously affects the performance of UWA communication. The paper proposes a time reversal UWA commun
Externí odkaz:
https://doaj.org/article/0d984b93a24c47ada97df1b1f4b15427
Publikováno v:
Sensors, Vol 18, Iss 7, p 2073 (2018)
In this paper, based on the reactive component of the vertical intensity, the method for target depth resolution has been improved. In the previous existing research results, using the reactive component of vertical intensity, the research objects fo
Externí odkaz:
https://doaj.org/article/0f81193dcd6941479cb3d57f3b0d154f
Publikováno v:
Sensors, Vol 18, Iss 4, p 1182 (2018)
This paper mainly studies and verifies the target number category-resolution method in multi-target cases and the target depth-resolution method of aerial targets. Firstly, target depth resolution is performed by using the sign distribution of the re
Externí odkaz:
https://doaj.org/article/993cbcc14d5b41a28ca33986daa26761