ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
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
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
Licence: creative commons attribution 4.0
thering seeds from the native flora a
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
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
Licence: creative commons attribution 4.0
CBIR, Correlative Histogram features, PCA, LDA, Accuracy, Precision and Computation Time.
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
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
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
Nonlinear alignment; optimal alignment, Nearest-mean classification, Support Vector Machine.