Automatic Classification Method for Academic Characterization of Computer Programming Students

2019 ◽  
Author(s):  
Luisa Quiroga ◽  
Roger Guzman ◽  
Holman Bolivar ◽  
Diego Rincon
Keyword(s):  
Computer Programming ◽  
Automatic Classification ◽  
Classification Method ◽  
Programming Students

An Automatic Classification Method for Involuntary and Two Types of Voluntary Blinks

2016 ◽  
Vol 136 (9) ◽  
pp. 1350-1358 ◽  
Author(s):  
Hironobu Sato ◽  
Kiyohiko Abe ◽  
Shoichi Ohi ◽  
Minoru Ohyama
Keyword(s):  
Automatic Classification ◽  
Classification Method

T-RMSD: A Fine-grained, Structure-based Classification Method and its Application to the Functional Characterization of TNF Receptors

2010 ◽  
Vol 400 (3) ◽  
pp. 605-617 ◽  
Author(s):  
Cedrik Magis ◽  
François Stricher ◽  
Almer M. van der Sloot ◽  
Luis Serrano ◽  
Cedric Notredame
Keyword(s):  
Functional Characterization ◽  
Classification Method ◽  
Tnf Receptors ◽  
Fine Grained ◽  
Fine Grained Structure

scholarly journals Snake classification from images

2017 ◽  
Author(s):  
Alex James
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Automatic Classification ◽  
Classification Method ◽  
Computing Environment ◽  
Snake Bites ◽  
Major Species ◽  
King Cobra ◽  
Wild Life

Incorrect snake identification from the observable visual traits is a major reason of death resulting from snake bites. So far no automatic classification method has been proposed to distinguish snakes by deciphering the taxonomy features of snake for the two major species of snakes i.e. Elapidae and Viperidae. We present a parallel processed inter-feature product similarity fusion based automatic classification of Spectacled Cobra, Russel's Viper, King Cobra, Common Krait, Saw Scaled Viper, Hump nosed Pit Viper. We identify 31 different taxonomically relevant features from snake images for automated snake classification studies. The scalability and real-time implementation of the classifier is analyzed through GPU enabled parallel computing environment. The developed systems finds application in wild life studies, analysis of snake bites and in management of snake population.

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