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Volume 3 | Issue 2 |

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  Paper Title: THE ROLE OF WOMEN: IN INDIAN AGRICULTURE SECTOR

  Author Name(s): Prof. Jayasheela G

  Published Paper ID: - IJCRT1133090

  Register Paper ID - 191243

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT1133090 and DOI :

  Author Country : Indian Author, 577004, India , Bangaluru, India , | Research Area: Commerce

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1133090
Published Paper PDF: download.php?file=IJCRT1133090
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1133090.pdf

  Your Paper Publication Details:

  Title: THE ROLE OF WOMEN: IN INDIAN AGRICULTURE SECTOR

 DOI (Digital Object Identifier) :

 Pubished in Volume: 3  | Issue: 2  | Year: June 2015

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Commerce

 Author type: Indian Author

 Pubished in Volume: 3

 Issue: 2

 Pages: 375-382

 Year: June 2015

 Downloads: 1953

  E-ISSN Number: 2320-2882

 Abstract


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

thering seeds from the native flora a

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: AN ENHANCED FEATURE EXTRACTION DIMENSIONAL REDUCTION ECHNIQUE FOR CONTENT BASED IMAGE

  Author Name(s): Mr.Srinivasa Babu Kasturi, Dr.A.Ramamohan Reddy

  Published Paper ID: - IJCRT1133023

  Register Paper ID - 181812

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT1133023 and DOI :

  Author Country : Indian Author, -, - , --, - , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1133023
Published Paper PDF: download.php?file=IJCRT1133023
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1133023.pdf

  Your Paper Publication Details:

  Title: AN ENHANCED FEATURE EXTRACTION DIMENSIONAL REDUCTION ECHNIQUE FOR CONTENT BASED IMAGE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 3  | Issue: 2  | Year: June 2015

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 3

 Issue: 2

 Pages: 34-42

 Year: June 2015

 Downloads: 1449

  E-ISSN Number: 2320-2882

 Abstract


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CBIR, Correlative Histogram features, PCA, LDA, Accuracy, Precision and Computation Time.

  License

Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: CLASSIFICATION OF SIGNATURES OF AIRCRAFT PROTOTYPES USING SUPPORT VECTOR MACHINE

  Author Name(s): Telagarapu Prabhakar

  Published Paper ID: - IJCRT1133002

  Register Paper ID - 180518

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT1133002 and DOI :

  Author Country : Indian Author, 530016, India , VISAKHAPATNAM, India , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1133002
Published Paper PDF: download.php?file=IJCRT1133002
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1133002.pdf

  Your Paper Publication Details:

  Title: CLASSIFICATION OF SIGNATURES OF AIRCRAFT PROTOTYPES USING SUPPORT VECTOR MACHINE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 3  | Issue: 2  | Year: June 2015

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 3

 Issue: 2

 Pages: 5-9

 Year: June 2015

 Downloads: 1454

  E-ISSN Number: 2320-2882

 Abstract

This paper focus on classification of signatures of four different types of aircraft prototypes. In order to classify the signatures, Support Vector Machine method is proposed. This procedure is designed to pair wise generate optimally aligned signatures by back tracking along the optimal alignment path. Classification results on these prototype signatures show that this method is quite robust in classifying the signals with unequal duration, compared to nearest mean classifier and Dynamic Time Wrapping method. Classification results were observed for different MSSNR for both classification methods. This paper also focused on reconstructing signatures based on the alignment path


Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nonlinear alignment; optimal alignment, Nearest-mean classification, Support Vector Machine.

  License

Creative Commons Attribution 4.0 and The Open Definition



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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
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