|
|
|
|
|
Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lucio Pinello, Omar Hassan, Marco Giglio and Claudio Sbarufatti
An increase in aircraft availability and readiness is one of the most desired characteristics of aircraft fleets. Unforeseen failures cause additional expenses and are particularly critical when thinking about combat jets and Unmanned Aerial Vehicles (UA...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Chen and Huibing Wang
Semi-supervised metric learning intends to learn a distance function from the limited labeled data as well as a large amount of unlabeled data to better gauge the similarities of any two instances than using a general distance function. However, most exi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Panos Nikitas and Efthymia Nikita
This paper assesses algorithms proposed for constructing confidence ellipses in multidimensional scaling (MDS) solutions and proposes a new approach to interpreting these confidence ellipses via hierarchical cluster analysis (HCA). It is shown that the m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian and Harm Derksen
Over the past decades, there has been an increase of attention to adapting machine learning methods to fully exploit the higher order structure of tensorial data. One problem of great interest is tensor classification, and in particular the extension of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lijun Liu, Xin Zhang, Ying Lei and Zhupeng Zheng
Due to the unpredictability of seismic excitation, the data-driven damage identification method, which only depends on the monitoring response data, has a good development prospect in structural health monitoring. In recent years, damage identification m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yefang Sun, Jun Gong and Yueyi Zhang
Data imbalance is a common problem in classification tasks. The Mahalanobis-Taguchi system (MTS) has proven to be promising due to its lack of requirements for data distribution. The MTS is a binary classifier. However, multi-classification problems are ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming Li, Jun Tian, Yuliang Wang, Haiyang Zhang, Dongping Yang and Meng Lei
Realizing the rapid measurement of coal moisture content (MC) is of great significance. However, existing measurement methods are time-consuming and damage the original properties of the samples. To address these concerns, a coal MC intelligent measureme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiahao Guo, Xiaohuo Yu and Lu Wang
Industrial quality control is an important task. Most of the existing vision-based unsupervised industrial anomaly detection and segmentation methods require that the training set only consists of normal samples, which is difficult to ensure in practice....
ver más
|
|
|
|
|
|
|
|
|
|
|
Weipeng Zhang, Bo Zhao, Liming Zhou, Jizhong Wang, Conghui Qiu, Kang Niu and Fengzhu Wang
The combine harvester is the main machine for fieldwork during the harvest season. When the harvester fails and cannot continue to work, this indirectly affects the harvest time and the yield in the field. The emergency maintenance service of agricultura...
ver más
|
|
|
|
|
|