scholarly journals A Hybrid Classification Framework Based on Clustering

2020 ◽  
Vol 16 (4) ◽  
pp. 2177-2188 ◽  
Author(s):  
Jin Xiao ◽  
Yuhang Tian ◽  
Ling Xie ◽  
Xiaoyi Jiang ◽  
Jing Huang
2021 ◽  
Vol 12 (3) ◽  
pp. 1635
Author(s):  
Roohollah Jafari Deligani ◽  
Seyyed Bahram Borgheai ◽  
John McLinden ◽  
Yalda Shahriari

2017 ◽  
Vol 13 (9) ◽  
pp. 6480-6488 ◽  
Author(s):  
A.D. Jeyarani ◽  
Reena Daphne ◽  
Solomon Roach

The main contribution of this paper has been to introduce nonlinear classification techniques to extract more information from the PCG signal. Especially, Artificial Neural Network classification techniques have been used to reconstruct the underlying system’s state space based on the measured PCG signal. This processing step provides a geometrical interpretation of the dynamics of the signal, whose structure can be utilized for both system characterization and classification as well as for signal processing tasks such as detection and prediction.


2014 ◽  
Author(s):  
Caroline Brun ◽  
Diana Nicoleta Popa ◽  
Claude Roux

2010 ◽  
Vol 32 (2) ◽  
pp. 261-266
Author(s):  
Li Wan ◽  
Jian-xin Liao ◽  
Xiao-min Zhu ◽  
Ping Ni

Author(s):  
Sylvain Thibeau ◽  
Lesley Seldon ◽  
Franco Masserano ◽  
Jacobo Canal Vila ◽  
Philip Ringrose

2000 ◽  
Vol 27 (2) ◽  
pp. 177-198 ◽  
Author(s):  
Garry D. Carnegie ◽  
Brad N. Potter

While accounting researchers have explored international publishing patterns in the accounting literature generally, little is known about recent contributions to the specialist international accounting history journals. Specifically, this study surveys publishing patterns in the three specialist, internationally refereed, accounting history journals in the English language during the period 1996 to 1999. The survey covers 149 contributions in total and provides empirical evidence on the location of their authors, the subject country or region in each investigation, and the time span of each study. It also classifies the literature examined based on the literature classification framework provided by Carnegie and Napier [1996].


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