Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Qihui Peng"'
Publikováno v:
Shock and Vibration, Vol 2022 (2022)
Assessing the seismic performance of the gantry crane is significant since the structure is more vulnerable to earthquakes with the increase in size and lifting weight capacity. This paper aims to investigate the seismic response of the gantry crane
Externí odkaz:
https://doaj.org/article/912425e877b140569599b03ff8eac79e
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4219 (2020)
A gantry crane located in a near-field earthquake-prone area is selected in this paper as an example, and the nonlinear finite element (FE) model is used considering the material nonlinearity including plastic hinges and the second order (P − Δ )
Externí odkaz:
https://doaj.org/article/4dab5fbe3e22403d942ab6a63a82e117
Publikováno v:
Structure and Infrastructure Engineering. 19:779-792
A timely damage state assessment of gantry cranes has a significant impact on the post-earthquake reconstruction and economic recovery in earthquake-stricken areas. This study aims to propose a met...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::303c296f4f06748a3cee4d5e53478899
https://doi.org/10.1080/15732479.2021.1979600
https://doi.org/10.1080/15732479.2021.1979600
Publikováno v:
IET Image Processing. 14:576-584
To improve the boundary processing ability and anti-noise performance of image segmentation algorithm,a neutrosophic fuzzy clustering algorithm based on non-local information is proposed here. Initially, the proposed approach uses the data distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5308edd679ffdb9ec427e7711ca4f68
https://doi.org/10.1049/iet-ipr.2018.5949
https://doi.org/10.1049/iet-ipr.2018.5949
Autor:
Qi Lin, Yuli Zhou, Siyuan Shi, Yujuan Zhang, Shaoli Yin, Xuye Liu, Qihui Peng, Shaoting Huang, Yitao Jiang, Chen Cui, Ruilian She, Jinfeng Xu, Fajin Dong
PURPOSE To investigate if artificial intelligence can identify fetus intracranial structures in pregnancy week 11-14; to provide an automated method of standard and non-standard sagittal view classification in obstetric ultrasound examination METHOD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9fcfeb639561cda46baf2b0e12274c
https://doi.org/10.21203/rs.3.rs-754075/v2
https://doi.org/10.21203/rs.3.rs-754075/v2
Publikováno v:
Revista Internacional de Métodos Numéricos para Cálculos y Diseño en Ingeniería. 37
This paper aims to investigate the uplift behavior coupled with the non-linearity both in material properties and in geometry deformations of a typical gantry crane under near-field ground motions. First, the highly nonlinear and time variable model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::467de3c3230a3786a101a02a6216079a
https://doi.org/10.23967/j.rimni.2021.09.003
https://doi.org/10.23967/j.rimni.2021.09.003
Publikováno v:
The Imaging Science Journal. 67:63-75
Aim to that Neutrosophic C-mean clustering segmentation does not consider the membership distribution of every sample point to different classes. Herein, an image-segmentation algorithm based on wavelet and data-driven neutrosophic fuzzy clustering i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f0457465dd08d61aea92cb1c1f57752
https://doi.org/10.1080/13682199.2018.1549694
https://doi.org/10.1080/13682199.2018.1549694
The current study investigated whether placentation and systemic inflammation are associated with pregnancy-induced hypertension (PIH) or pre-eclampsia (PE), and evaluated some measurable indexes for assessment of maternal factors contributing to hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e7d2d616b90161294b17d85f8ddc7f4
https://europepmc.org/articles/PMC7027075/
https://europepmc.org/articles/PMC7027075/
Publikováno v:
CISP-BMEI
In recent years, deep convolutional neural network techniques have been widely used in face recognition. Loss function is an important part of convolutional neural network for face recognition. At present, a variety of loss functions have been propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf04370fa73828cea96304fed6c91c79
https://doi.org/10.1109/cisp-bmei48845.2019.8965839
https://doi.org/10.1109/cisp-bmei48845.2019.8965839
Publikováno v:
IET Image Processing (Wiley-Blackwell); 2020, Vol. 14 Issue 3, p576-584, 9p