LEADER 01665nam  2200409z- 450 
001 9910346715503321
005 20210212
010   $a1000056498
035   $a(CKB)4920000000094546
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57700
035   $a(oapen)doab57700
035   $a(EXLCZ)994920000000094546
100   $a20202102d2017      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aRealtime Analysis of Large-Scale Data
210   $cKIT Scientific Publishing$d2017
215   $a1 online resource (XIII, 98 p. p.)
311 08$a3-7315-0552-5 
330   $aIn photon science more and more data are taken. It is not possible anymore to store and process all data offline. In this book, we explore strategies for handling this large amount of data. A neural network as well as techniques from image processing are used to efficiently categorize and select useful data. We also indicate why many sophisticated algorithms cannot be used in this context. In addition, a prototype for data selection is presented, discussed, and benchmarked.
610   $abig data
610   $abildverarbeitung
610   $aechtzeitverarbeitung
610   $aimage-processing
610   $ananocrystalligraphy
610   $ananokristallographie
610   $areal-time-processing
610   $asignal-processing
610   $asignalverarbeitungbig data
700   $aBecker$b Daniel$4auth$01312911
906   $aBOOK
912   $a9910346715503321
996   $aRealtime Analysis of Large-Scale Data$93031112
997   $aUNINA