LEADER 03958nam 22007575 450 001 996465828703316 005 20200706003751.0 010 $a3-319-91253-4 024 7 $a10.1007/978-3-319-91253-0 035 $a(CKB)3850000000031366 035 $a(DE-He213)978-3-319-91253-0 035 $a(MiAaPQ)EBC6305164 035 $a(PPN)227403428 035 $a(EXLCZ)993850000000031366 100 $a20180510d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Soft Computing$b[electronic resource] $e17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I /$fedited by Leszek Rutkowski, Rafa? Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXV, 774 p. 280 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v10841 311 $a3-319-91252-6 330 $aThe two-volume set LNAI 10841 and LNAI 10842 constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018, held in Zakopane, Poland in June 2018. The 140 revised full papers presented were carefully reviewed and selected from 242 submissions. The papers included in the first volume are organized in the following three parts: neural networks and their applications; evolutionary algorithms and their applications; and pattern classification. 410 0$aLecture Notes in Artificial Intelligence ;$v10841 606 $aArtificial intelligence 606 $aAlgorithms 606 $aData mining 606 $aComputer organization 606 $aOptical data processing 606 $aSoftware engineering 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aData mining. 615 0$aComputer organization. 615 0$aOptical data processing. 615 0$aSoftware engineering. 615 14$aArtificial Intelligence. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aImage Processing and Computer Vision. 615 24$aSoftware Engineering. 676 $a006.3 702 $aRutkowski$b Leszek$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aScherer$b Rafa?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKorytkowski$b Marcin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPedrycz$b Witold$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTadeusiewicz$b Ryszard$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZurada$b Jacek M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465828703316 996 $aArtificial Intelligence and Soft Computing$92069900 997 $aUNISA LEADER 02126oam 2200481 a 450 001 9910705473203321 005 20140912161805.0 035 $a(CKB)5470000002450653 035 $a(OCoLC)889243295 035 $a(EXLCZ)995470000002450653 100 $a20140826d2014 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA field guide for selecting the most appropriate treatment in sagebrush and pin?on-juniper ecosystems in the Great Basin$b[electronic resource] $eevaluating resilience to disturbance and resistance to invasive annual grasses, and predicting vegetation response /$fRichard F. Miller, Jeanne C. Chambers, and Mike Pellant 210 1$aFort Collins, CO :$cU.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station,$d[2014] 215 $a1 online resource (66 pages) $cillustrations (some color), color maps 225 1 $aGeneral technical report RMRS ;$vGTR-322 300 $aTitle from title screen (viewed on Aug. 26, 2014). 300 $a"June 2014." 320 $aIncludes bibliographical references (pages 37-40). 517 $aField guide for selecting the most appropriate treatment in sagebrush and pin?on-juniper ecosystems in the Great Basin 606 $aSagebrush steppe ecology$zGreat Basin 606 $aInvasive plants$zGreat Basin 606 $aPinyon pines$xEcology$zGreat Basin 606 $aGrassland restoration$zGreat Basin 615 0$aSagebrush steppe ecology 615 0$aInvasive plants 615 0$aPinyon pines$xEcology 615 0$aGrassland restoration 700 $aMiller$b Richard F$0282125 701 $aChambers$b Jeanne C$01318537 701 $aPellant$b Michael L$01395632 712 02$aRocky Mountain Research Station (Fort Collins, Colo.) 801 0$bORE 801 1$bORE 801 2$bGPO 906 $aBOOK 912 $a9910705473203321 996 $aA field guide for selecting the most appropriate treatment in sagebrush and pin?on-juniper ecosystems in the Great Basin$93499417 997 $aUNINA