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Prognostics model for tool life prediction in milling using texture features of surface image data

Author:
Kumar, K.Tulasi
,
Arunachalam, N.
,
Vijayaraghavan, L.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICEEICT.2014.6919082
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1103551
Keyword(s): Cancer,n Diseases,n Genetic algorithms,n Pattern recognition,n Sociology,n Statistics,n Training,n AI,n Bacterial Genetic Algorithm,n MGA,n Pattern recognition,n SGA,n UCI machine learning repository dataset
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    Prognostics model for tool life prediction in milling using texture features of surface image data

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contributor authorKumar, K.Tulasi
contributor authorArunachalam, N.
contributor authorVijayaraghavan, L.
date accessioned2020-03-12T23:02:42Z
date available2020-03-12T23:02:42Z
date issued2014
identifier other7036383.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1103551
formatgeneral
languageEnglish
publisherIEEE
titlePrognostics model for tool life prediction in milling using texture features of surface image data
typeConference Paper
contenttypeMetadata Only
identifier padid8246611
subject keywordsCancer
subject keywordsn Diseases
subject keywordsn Genetic algorithms
subject keywordsn Pattern recognition
subject keywordsn Sociology
subject keywordsn Statistics
subject keywordsn Training
subject keywordsn AI
subject keywordsn Bacterial Genetic Algorithm
subject keywordsn MGA
subject keywordsn Pattern recognition
subject keywordsn SGA
subject keywordsn UCI machine learning repository dataset
identifier doi10.1109/ICEEICT.2014.6919082
filesize375517
citations0
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