Linghu, Rongqian Zhang, Ke
Published in
Journal of Physics: Conference Series
Arrhythmia and other diseases are puzzling more and more people. Accurate detection is the key to realizing intelligent diagnosis of electrocardiogram(ECG) monitoring systems. It can prevent heart disease and effectively reduce mortality. An efficient and accurate arrhythmia detection method is urgent. In this work, a real-time automatic arrhythmia...
Qi, Yue Zheng, Peijie Huang, Guohua
Published in
Frontiers in Microbiology
The epitope is the site where antigens and antibodies interact and is vital to understanding the immune system. Experimental identification of linear B-cell epitopes (BCEs) is expensive, is labor-consuming, and has a low throughput. Although a few computational methods have been proposed to address this challenge, there is still a long way to go fo...
Tang, Minmeng Sadowski, Dennis Lee Peng, Chen Vougioukas, Stavros G. Klever, Brandon Khalsa, Sat Darshan S. Brown, Patrick H. Jin, Yufang
Published in
Frontiers in Plant Science
Introduction Estimating and understanding the yield variability within an individual field is critical for precision agriculture resource management of high value tree crops. Recent advancements in sensor technologies and machine learning make it possible to monitor orchards at very high spatial resolution and estimate yield at individual tree leve...
Shi, Tianzi She, Jingke Li, Pingfan Jiang, Jianjian Chen, Wei
Published in
Frontiers in Energy Research
A deep learning-based multi-node framework is constructed in this work to provide a data-driven platform that provides predictions for the operation condition of the primary heat transfer (PHT) loop in nuclear power plants (NPPs). Several deep learning models that have been verified and demonstrated in previous researches, such as Long-Short Term M...
Wang, Zheng Wen, Chuanbo Dong, Yifan
Published in
Measurement Science and Technology
The traditional fault diagnosis methods for rolling bearings through neural networks mostly use data sources collected by a single sensor and use single-dimensional data input, leading to fault features in bearings not be completely extracted. Moreover, traditional convolution often uses single-size convolution kernels, which are insufficient for f...
Wei, Jianqiu Liu, Xiumei Li, Beibei Zhang, Yujia Shang, Ximing
Published in
Measurement Science and Technology
The control valve is a crucial component with high switching frequency in coal liquefaction systems. Its performance exerts a great influence on the long-term operations in the coal chemical technology. Cavitation is a key factor affecting the control accuracy and surface morphology of the control valve; hence, it will further shorten the service l...
Li, Fan He, Xing Chen, Ran Wu, Yi Tian, Yingjie
Published in
Journal of Physics: Conference Series
The analysis and utilization of massive recording data of distribution grid fault indicator is beneficial to improve the effect of distribution grid fault diagnosis. In this paper, the distribution grid monitoring are realized by the random matrix theory (RMT) of high dimensional statistical analysis. The fault diagnosis method based on RMT has the...
Positano, Vincenzo Meloni, Antonella Santarelli, Maria Filomena Pistoia, Laura Spasiano, Anna Cuccia, Liana Casini, Tommaso Gamberini, Maria Rita Allò, Massimo Bitti, Pier Paolo
...
Published in
Journal of magnetic resonance imaging : JMRI
MRI represents the most established liver iron content (LIC) evaluation approach by estimation of liver T2* value, but it is dependent on the choice of the measurement region and the software used for image analysis. To develop a deep-learning method for unsupervised classification of LIC from magnitude T2* multiecho MR images. Retrospective. A tot...
Menon, Tarunya Gopal, Shubhang Rastogi Verma, Smita
Published in
Biotechnology and applied biochemistry
Non-small cell lung cancer is the most prevalent lung cancer, and almost three-fourths of patients are diagnosed in the advanced stage directly. In this stage, chemotherapy gives only a 15% 5-year survival rate. As people have varied symptoms and reactions to a specific cancer type, treatment for the tumor is likely to fall short, complicating canc...
Xin, Linchao Hu, Shijian Wang, Fan Xie, Wenhong Hu, Dunxin Dong, Changming
Published in
Frontiers in Marine Science
The Indonesian Throughflow (ITF) connects the tropical Pacific and Indian Oceans and is critical to the regional and global climate systems. Previous research indicates that the Indo-Pacific pressure gradient is a major driver of the ITF, implying the possibility of forecasting ITF transport by the sea surface height (SSH) of the Indo-Pacific Ocean...
