Show simple item record

Fast and robust zebrafish segmentation and detection algorithm under different spectrum conditions

date accessioned2020-03-12T19:39:18Z
date available2020-03-12T19:39:18Z
date issued2014
identifier other6798944.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/985070?show=full
formatgeneral
languageEnglish
publisherIEEE
titleFast and robust zebrafish segmentation and detection algorithm under different spectrum conditions
typeConference Paper
contenttypeMetadata Only
identifier padid8100629
subject keywordsKalman filters
subject keywordsbattery management systems
subject keywordsdigital signal processing chips
subject keywordselectric vehicles
subject keywordsnonlinear filters
subject keywordssecondary cells
subject keywordsBMS
subject keywordsDSP
subject keywordsEKF algorithm
subject keywordsMATLAB simulation
subject keywordsSOC estimation
subject keywordsTMS320LF2407
subject keywordsThevenin battery model
subject keywordsbattery state of charge estimation
subject keywordscontrol chip
subject keywordselectric vehicle battery management system
subject keywordsexpanded Kalman filter algorithm
subject keywordslithium iron phosphate battery
subject keywordsBatteries
subject keywordsBattery management systems
subject keywordsDischarges (electric)
subject keywordsElectric vehicles
subject keywordsEstimation
subject keywordsMathematical mode
identifier doi10.1109/ITEC-AP.2014.6940791
journal titleensors Applications Symposium (SAS), 2014 IEEE
filesize807131
citations0
contributor rawauthorJei Shian Tan , Tak Kwin Chang , Ooi, M.P.-L. , Ye Chow Kuang , Chee Pin Tan , Kitahashi, T.


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record