|
|
|
|
|
Demiao Yu, Xiaoran Huang, Hengyi Zang, Yuanwei Li, Yuchen Qin and Daoyong Li
The outbreak of COVID-19 in Beijing has been sporadic since the beginning of 2022 and has become increasingly severe since October. In China?s policy of insisting on dynamic clearance, fine-grained management has become the focus of current epidemic prev...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhiguo Liang, Lijun Zhang and Xizhe Wang
Since failure of steam turbines occurs frequently and can causes huge losses for thermal plants, it is important to identify a fault in advance. A novel clustering fault diagnosis method for steam turbines based on t-distribution stochastic neighborhood ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ali Reza Ghanizadeh, Ahmad Aziminejad, Panagiotis G. Asteris and Danial Jahed Armaghani
Earthquake-induced soil liquefaction (EISL) can cause significant damage to structures, facilities, and vital urban arteries. Thus, the accurate prediction of EISL is a challenge for geotechnical engineers in mitigating irreparable loss to buildings and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chun-Ta Wei, Ming-Da Tsai, Yu-Lung Chang and Ming-Chih Jason Wang
The Full Waveform LiDAR system has been developed and used commercially all over the world. It acts to record the complete time of a laser pulse and has a high-resolution sampling interval compared to the traditional multiple-echo LiDAR, which only provi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zisheng Song
In China, the capitalization of education resources in housing prices has been widely discussed. However, insufficient attention is paid to it in rents. Thus, this paper mainly aims to identify the capitalization of school quality in rents. It estimates ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei-Wei Jin, Guo-Hong Chen, Zhuo Chen, Yun-Lei Sun, Jie Ni, Hao Huang, Wai-Hung Ip and Kai-Leung Yung
In this work, we propose a road pavement damage detection deep learning model based on feature points from a local minimum of grayscale. First, image blocks, consisting of the neighborhood of feature points, are cut from the image window to form an image...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peipei He, Zheng Ma, Meiqi Fei, Wenkai Liu, Guihai Guo and Mingwei Wang
In point-cloud scenes, semantic segmentation is the basis for achieving an understanding of a 3D scene. The disorderly and irregular nature of 3D point clouds makes it impossible for traditional convolutional neural networks to be applied directly, and m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yan Yan, Zichao Sun, Adnan Mahmood, Fei Xu, Zhuoyue Dong and Quan Z. Sheng
Statistical partitioning and publishing is commonly used in location-based big data services to address queries such as the number of points of interest, available vehicles, traffic flows, infected patients, etc., within a certain range. Adding noise per...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md. Maniruzzaman, Jungpil Shin and Md. Al Mehedi Hasan
Attention deficit hyperactivity disorder (ADHD) is one of childhood?s most frequent neurobehavioral disorders. The purpose of this study is to: (i) extract the most prominent risk factors for children with ADHD; and (ii) propose a machine learning (ML)-b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zenab Mohamed Elgamal, Norizan Mohd Yasin, Aznul Qalid Md Sabri, Rami Sihwail, Mohammad Tubishat and Hazim Jarrah
The rapid growth in biomedical datasets has generated high dimensionality features that negatively impact machine learning classifiers. In machine learning, feature selection (FS) is an essential process for selecting the most significant features and re...
ver más
|
|
|
|
|
|