•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Sensitive keyword spotting for crime analysis

Author:
Kavya, H.P.
,
Karjigi, V.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/AIM.2014.6878319
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1077695
Keyword(s): brushless DC motors,n electric machine analysis computing,n failure analysis,n fault diagnosis,n feature extraction,n feature selection,n gears,n machine bearings,n machine testing,n mechanical engineering computing,n mechanical testing,n pattern classification,n sensor fusion,n BLDCM,n adaptive feature classification,n adaptive feature extraction,n adaptive feature selection,n bearing failure detection,n brushless DC motors,n early fault
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

    Sensitive keyword spotting for crime analysis

Show full item record

contributor authorKavya, H.P.
contributor authorKarjigi, V.
date accessioned2020-03-12T22:17:10Z
date available2020-03-12T22:17:10Z
date issued2014
identifier other7001149.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1077695
formatgeneral
languageEnglish
publisherIEEE
titleSensitive keyword spotting for crime analysis
typeConference Paper
contenttypeMetadata Only
identifier padid8213954
subject keywordsbrushless DC motors
subject keywordsn electric machine analysis computing
subject keywordsn failure analysis
subject keywordsn fault diagnosis
subject keywordsn feature extraction
subject keywordsn feature selection
subject keywordsn gears
subject keywordsn machine bearings
subject keywordsn machine testing
subject keywordsn mechanical engineering computing
subject keywordsn mechanical testing
subject keywordsn pattern classification
subject keywordsn sensor fusion
subject keywordsn BLDCM
subject keywordsn adaptive feature classification
subject keywordsn adaptive feature extraction
subject keywordsn adaptive feature selection
subject keywordsn bearing failure detection
subject keywordsn brushless DC motors
subject keywordsn early fault
identifier doi10.1109/AIM.2014.6878319
journal titleommunication, Signal Processing and Networking (NCCSN), 2014 National Conference on
filesize210220
citations0
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace