ARTÍCULO
TITULO

Detection of Multiple Influential Cases in Principal Component Analysis: A Graphical Technique

Li    
B. Morris    
A. J. Martin    
E. B.    

Resumen

No disponible

 Artículos similares

       
 
Abdul Rahaman Wahab Sait and Ali Mohammad Alorsan Bani Awad    
Coronary artery disease (CAD) is the most prevalent form of cardiovascular disease that may result in myocardial infarction. Annually, it leads to millions of fatalities and causes billions of dollars in global economic losses. Limited resources and comp... ver más
Revista: Applied Sciences

 
Ping-Chang Tsai, Yu-Min Hsueh, Chang-Kuo Chen and Cheng-Chien Kuo    
Partial discharge (PD) characteristics are very important for the diagnosis of damaged transformation equipment. If the power transmission and transformation equipment fails, it will cause large economic losses, and thus prevention is better than treatme... ver más
Revista: Applied Sciences

 
Baobao Liu, Heying Wang, Zifan Cao, Yu Wang, Lu Tao, Jingjing Yang and Kaibing Zhang    
Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve the effectiveness and accuracy of fabric defect detection, we propose the PRC-Light YOLO model for fabric defect detection and establish a ... ver más
Revista: Applied Sciences

 
Mu-Lin Huang, Xue-Mei He, Ming-Yue Du, Peng-Fei Jiang and Xue-Feng Wang    
High-temperature and high-pressure (HTHP)-treated diamonds have attracted attention all over the world due to their vivid colors. In order to explore a new method for the rapid and non-destructive identification of HTHP-treated diamonds, in this paper, f... ver más
Revista: Applied Sciences

 
Max Käding and Steffen Marx    
Acoustic emission monitoring (AEM) has emerged as an effective technique for detecting wire breaks resulting from, e.g., stress corrosion cracking, and its application on prestressed concrete bridges is increasing. The success of this monitoring measure ... ver más
Revista: Applied Sciences