LEADER 04070nam  22007575  450 
001 9910299693103321
005 20200629225247.0
010   $a3-319-15796-5
024 7 $a10.1007/978-3-319-15796-2
035   $a(CKB)3710000000370457
035   $a(EBL)1997873
035   $a(OCoLC)904752745
035   $a(SSID)ssj0001465676
035   $a(PQKBManifestationID)11967642
035   $a(PQKBTitleCode)TC0001465676
035   $a(PQKBWorkID)11472219
035   $a(PQKB)11686975
035   $a(DE-He213)978-3-319-15796-2
035   $a(MiAaPQ)EBC1997873
035   $a(PPN)18489364X
035   $a(EXLCZ)993710000000370457
100   $a20150227d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aProgress in Automation, Robotics and Measuring Techniques $eControl and Automation /$fedited by Roman Szewczyk, Cezary Zieli?ski, Ma?gorzata Kaliczy?ska
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (360 p.)
225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v350
300   $aDescription based upon print version of record.
311   $a3-319-15795-7 
320   $aIncludes bibliographical references and index.
327   $aFrom the Contents: Synchronization of the Chaotic Pandey-Baghel-Singh Systems of Fractional Order -- Multiple Project Portfolio Scheduling Subject to Mass Customized Service -- Recurrent Polynomial and Neural Structures in Modelling of a Neutralisation Process -- Memory-Based Prediction of District Heating Temperature Using GPGPU -- The Architecture of an Embedded Smart Camera for Intelligent Inspection and Surveillance -- Nature-Inspired, Parallel Object Recognition.
330   $aThis book presents recent progresses in control, automation, robotics, and measuring techniques. It includes contributions of top experts in the fields, focused on both theory and industrial practice. The particular chapters present a deep analysis of a specific technical problem which is in general followed by a numerical analysis and simulation, and results of an implementation for the solution of a real world problem. The presented theoretical results, practical solutions and guidelines will be useful for both researchers working in the area of engineering sciences and for practitioners solving industrial problems.
410  0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v350
606   $aComputational intelligence
606   $aRobotics
606   $aAutomation
606   $aArtificial intelligence
606   $aPhysical measurements
606   $aMeasurement   
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMeasurement Science and Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/P31040
615  0$aComputational intelligence.
615  0$aRobotics.
615  0$aAutomation.
615  0$aArtificial intelligence.
615  0$aPhysical measurements.
615  0$aMeasurement   .
615 14$aComputational Intelligence.
615 24$aRobotics and Automation.
615 24$aArtificial Intelligence.
615 24$aMeasurement Science and Instrumentation.
676   $a620.10923489
702   $aSzewczyk$b Roman$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZieli?ski$b Cezary$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKaliczy?ska$b Ma?gorzata$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299693103321
996   $aProgress in Automation, Robotics and Measuring Techniques$91407674
997   $aUNINA