|
|
|
|
|
Wei-tao Du, Qiang Zeng, Yi-min Shao, Li-ming Wang and Xiao-xi Ding
Demodulation is one of the most useful techniques for the fault diagnosis of rotating machinery. The commonly used demodulation methods try to select one sensitive sub-band signal that contains the most fault-related components for further analysis. Howe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michal Maciusowicz and Grzegorz Psuj
Magnetic Barkhausen Noise (MBN) is a method being currently considered by many research and development centers, as it provides knowledge about the properties and current state of the examined material. Due to the practical aspects, magnetic anisotropy e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Denis Selimovic, Jonatan Lerga, Jasna Prpic-Or?ic and Sasa Kenji
Various operations at sea, such as maintaining a constant ship position and direction, require a complex control system. Under such conditions, the ship needs an efficient positioning technique. Dynamic positioning (DP) systems provide such an applicatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiyang Yao, Tian Gao, Yong Wang, Haiyan Wang and Xiao Chen
To overcome the challenges of inadequate representation and ineffective information exchange stemming from feature homogenization in underwater acoustic target recognition, we introduce a hybrid network named Mobile_ViT, which synergizes MobileNet and Tr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongya Qu, An Chang, Tiantian Li and Zhongguo Guan
Deriving critical parametric information from recorded signals for system identification is critical in structural health monitoring and damage detection, while the time-varying nature of most signals often requires significant processing efforts due to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fan Liu and Jiandong Fang
Classroom interactivity is one of the important metrics for assessing classrooms, and identifying classroom interactivity through classroom image data is limited by the interference of complex teaching scenarios. However, audio data within the classroom ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong and Shan Huang
Enhancing information representation in electromyography (EMG) signals is pivotal for interpreting human movement intentions. Traditional methods often concentrate on specific aspects of EMG signals, such as the time or frequency domains, while overlooki...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuanyuan Su, Hongmei Liu and Laifa Tao
In practical engineering, the vibration-based fault diagnosis with few failure samples is gaining more and more attention from researchers, since it is generally hard to collect sufficient failure records of centrifugal pumps. In such circumstances, effe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lilun Zhang, Dezhi Wang, Changchun Bao, Yongxian Wang and Kele Xu
Whale vocal calls contain valuable information and abundant characteristics that are important for classification of whale sub-populations and related biological research. In this study, an effective data-driven approach based on pre-trained Convolutiona...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rami Alazrai, Saifaldeen AL-Rawi, Hisham Alwanni and Mohammad I. Daoud
Detecting pain based on analyzing electroencephalography (EEG) signals can enhance the ability of caregivers to characterize and manage clinical pain. However, the subjective nature of pain and the nonstationarity of EEG signals increase the difficulty o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Omneya Attallah
Cervical cancer, among the most frequent adverse cancers in women, could be avoided through routine checks. The Pap smear check is a widespread screening methodology for the timely identification of cervical cancer, but it is susceptible to human mistake...
ver más
|
|
|
|
|
|