|
|
|
|
|
Weicheng Sun, Zhenqun Guan, Yan Zeng, Jiacheng Pan and Zhonghai Gao
This paper designed a bolt-loosening Support Vector Machines? conduct detection method with feature vectors comprising eigenvalue decomposition based on Variational Modal Decomposition (VMD) and Singular Value Decomposition (SVD), combined with permutati...
ver más
|
|
|
|
|
|
|
|
|
Ibrahim Abunadi, Hanan Abdullah Mengash, Saud S. Alotaibi, Mashael M. Asiri, Manar Ahmed Hamza, Abu Sarwar Zamani, Abdelwahed Motwakel and Ishfaq Yaseen
Recent developments of semiconductor and communication technologies have resulted in the interconnection of numerous devices in offering seamless communication and services, which is termed as Internet of Everything (IoE). It is a subset of Internet of T...
ver más
|
|
|
|
|
|
|
|
|
Mohammed Isam Al-Hiyali, Norashikin Yahya, Ibrahima Faye, Maged S. Al-Quraishi and Abdulhakim Al-Ezzi
The study of functional connectivity (FC) of the brain using resting-state functional magnetic resonance imaging (rs-fMRI) has gained traction for uncovering FC patterns related to autism spectrum disorder (ASD). It is believed that the neurodynamic comp...
ver más
|
|
|
|
|
|
|
|
|
Haoyu Tai, Yonghua Xia, Xiangrong He, Xuequn Wu, Chen Li, Min Yan, Xiali Kong and Minglong Yang
With the rapid development of the geographic information service industry, point cloud data are widely used in various fields, such as architecture, planning, cultural relics protection, mining engineering, etc. Despite that there are many approaches to ...
ver más
|
|
|
|
|
|
|
|
|
Siriwan Intawichai and Saifon Chaturantabut
An accelerated least-squares approach is introduced in this work by incorporating a greedy point selection method with randomized singular value decomposition (rSVD) to reduce the computational complexity of missing data reconstruction. The rSVD is used ...
ver más
|
|
|
|