510   Artículos

 
en línea
Muhammad Abi Berkah Nadi, Sayed Ahmad Fauzan     Pág. 1 - 9
Recovery efforts following a disaster can be slow and painstaking work, and potentially put responders in harm's way. A system which helps identify defects in critical building elements (e.g., concrete columns) before responders must enter a structure ca... ver más
Revista: Journal of Science and Applicative Technology    Formato: Electrónico

 
en línea
Rongke Wei, Haodong Pei, Dongjie Wu, Changwen Zeng, Xin Ai and Huixian Duan    
The task of 3D reconstruction of urban targets holds pivotal importance for various applications, including autonomous driving, digital twin technology, and urban planning and development. The intricate nature of urban landscapes presents substantial cha... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shancheng Tang, Ying Zhang, Zicheng Jin, Jianhui Lu, Heng Li and Jiqing Yang    
The number of defect samples on the surface of aluminum profiles is small, and the distribution of abnormal visual features is dispersed, such that the existing supervised detection methods cannot effectively detect undefined defects. At the same time, t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li    
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang    
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaokai Sun, Baoyun Guo, Cailin Li, Na Sun, Yue Wang and Yukai Yao    
In urban point cloud scenarios, due to the diversity of different feature types, it becomes a primary challenge to effectively obtain point clouds of building categories from urban point clouds. Therefore, this paper proposes the Enhanced Local Feature A... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Moxian Chu, Bilin Liu, Liguo Ou, Ziyue Chen and Qingying Li    
Statoliths are important hard tissues in cephalopods. Significant differences are found in the external morphology of statoliths in different groups or species. In this study, stepwise discriminant analysis was used to investigate the external morphologi... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Ivan Volaric and Victor Sucic    
One of the frequently used classes of sparse reconstruction algorithms is based on the iterative shrinkage/thresholding procedure, in which the thresholding parameter controls a trade-off between the algorithm?s accuracy and execution time. In order to a... ver más
Revista: Information    Formato: Electrónico

 
en línea
Fukuharu Tanaka, Teruhiro Mizumoto and Hirozumi Yamaguchi    
Advances in image analysis and deep learning technologies have expanded the use of floor plans, traditionally used for sales and rentals, to include 3D reconstruction and automated design. However, a typical floor plan does not provide detailed informati... ver más
Revista: Information    Formato: Electrónico

 
en línea
Fan Zhu, Meng Zhang, Fuxuan Ma, Zhihua Li and Xianqiang Qu    
Wind turbine towers experience complex dynamic loads during actual operation, and these loads are difficult to accurately predict in advance, which may lead to inaccurate structural fatigue and strength assessment during the structural design phase, ther... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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