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Automated Video Imaging System for Counting Deep-Sea Bioluminescence Organisms Events

contributor authorMazzei, Luca
contributor authorMarini, Simone
contributor authorCraig, Jessica
contributor authorAguzzi, Jacopo
contributor authorFanelli, Emanuela
contributor authorPriede, Imants G.
date accessioned2020-03-12T21:50:46Z
date available2020-03-12T21:50:46Z
date issued2014
identifier other6961269.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1062554?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAutomated Video Imaging System for Counting Deep-Sea Bioluminescence Organisms Events
typeConference Paper
contenttypeMetadata Only
identifier padid8194568
subject keywordselectric admittance
subject keywordsn mathematical analysis
subject keywordsn maximum power point trackers
subject keywordsn perturbation techniques
subject keywordsn photovoltaic power systems
subject keywordsn solar cells
subject keywordsn IncCond algorithm
subject keywordsn MATLAB
subject keywordsn MPPT algorithm
subject keywordsn P&
subject keywordsamp
subject keywordsO algorithm
subject keywordsn PV module
subject keywordsn PV systems
subject keywordsn Simulink
subject keywordsn boost type DC-DC converter topology
subject keywordsn incremental conductance algorithms
subject keywordsn manufacturer datasheet parameters
subject keywordsn maximum power point tracking techniques
subject keywordsn one-diode mathematical model
subject keywordsn perturb-ob
identifier doi10.1109/GREENTECH.2014.21
journal titleomputer Vision for Analysis of Underwater Imagery (CVAUI), 2014 ICPR Workshop on
filesize2322492
citations0


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