Application of ensemble classification method for power transformers condition assessment

Author(s):  
Ayman Othman ◽  
Monsef Tahir ◽  
Ramadan El Shatshat ◽  
Khaled Shaban
2017 ◽  
Vol 11 (8) ◽  
pp. 983-990 ◽  
Author(s):  
Chilaka Ranga ◽  
Ashwani Kumar Chandel ◽  
Rajeevan Chandel

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jinyu Cong ◽  
Benzheng Wei ◽  
Yunlong He ◽  
Yilong Yin ◽  
Yuanjie Zheng

Breast cancer has been one of the main diseases that threatens women’s life. Early detection and diagnosis of breast cancer play an important role in reducing mortality of breast cancer. In this paper, we propose a selective ensemble method integrated with the KNN, SVM, and Naive Bayes to diagnose the breast cancer combining ultrasound images with mammography images. Our experimental results have shown that the selective classification method with an accuracy of 88.73% and sensitivity of 97.06% is efficient for breast cancer diagnosis. And indicator R presents a new way to choose the base classifier for ensemble learning.


2019 ◽  
Vol 14 (2) ◽  
pp. 126-131
Author(s):  
Dillip Kumar Puhan ◽  
Rajat Sharma ◽  
B. Nageshwar Rao ◽  
K. P. Meena ◽  
◽  
...  

Author(s):  
Pubudu Haputhanthirige ◽  
Stephan Fernando ◽  
Thirasara Gunaruwan ◽  
Vimukthi Gamage ◽  
Rasara Samarasinghe ◽  
...  

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