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Estimating carbon dioxide concentrations in urban areas from satellite imagery using Bayesian network

contributor authorJianbin Tao , Wenbin Wu , Yong Zhou , Lei Yu
date accessioned2020-03-12T20:52:20Z
date available2020-03-12T20:52:20Z
date issued2014
identifier other6910674.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1028596?show=full
formatgeneral
languageEnglish
publisherIEEE
titleEstimating carbon dioxide concentrations in urban areas from satellite imagery using Bayesian network
typeConference Paper
contenttypeMetadata Only
identifier padid8153784
subject keywordsdata warehouses
subject keywordseconomic cycles
subject keywordslearning (artificial intelligence)
subject keywordsmortgage processing
subject keywordspattern classification
subject keywordsrandom processes
subject keywordssampling methods
subject keywordsDutch bank
subject keywordsarrear history records
subject keywordsarrear management department
subject keywordsbalanced random forests
subject keywordsclassification system
subject keywordscost savings
subject keywordsdata warehouse
subject keywordsdefaulter
subject keywordsdelayer
subject keywordseconomic recession
subject keywordsensemble learning
subject keywordsensemble methods
subject keywordsmonthly mortgage rate payment
subject keywordsmortgage arrear management
subject keywordsmortgage customers
subject keywordssampling techniques
subject keywordsBagging
subject keywordsBanking
subject keywordsBars
subject keywordsDeci
identifier doi10.1109/CIFEr.2014.6924113
journal titlegro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
filesize850956
citations0


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