LEADER 01830nam 2200457 450 001 9910707275603321 005 20160603111753.0 035 $a(CKB)5470000002462750 035 $a(OCoLC)951105474 035 $a(OCoLC)995470000002462750 035 $a(EXLCZ)995470000002462750 100 $a20160603d2014 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aCMS's process for sharing information about terminated providers needs improvement 210 1$a[Washington, D.C.] :$cDepartment of Health and Human Services, Office of Inspector General,$d2014. 215 $a1 online resource (24 pages) $cillustrations 300 $aTitle from title screen (viewed June 2, 2016). 300 $a"March 2014." 300 $a"OEI-06-12-00031." 320 $aIncludes bibliographical references. 517 1 $aCMS system for sharing information about terminated providers needs improvement 517 3 $aCenters for Medicare & Medicaid Services system for sharing information about terminated providers needs improvement 517 1 $aCMS's process for sharing information about terminated providers needs improvement 606 $aMedicare$xData processing 606 $aMedicaid$xData processing 606 $aHospital utilization$xReporting$zUnited States 606 $aMedical care$xUtilization$xReporting$zUnited States 615 0$aMedicare$xData processing. 615 0$aMedicaid$xData processing. 615 0$aHospital utilization$xReporting 615 0$aMedical care$xUtilization$xReporting 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910707275603321 996 $aCMS's process for sharing information about terminated providers needs improvement$93318608 997 $aUNINA LEADER 04554nam 2201249z- 450 001 9910557297703321 005 20210501 035 $a(CKB)5400000000041062 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69162 035 $a(oapen)doab69162 035 $a(EXLCZ)995400000000041062 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (280 p.) 311 08$a3-03943-200-1 311 08$a3-03943-201-X 330 $aThis book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators. 606 $aHistory of engineering and technology$2bicssc 610 $aadaptive neuro-fuzzy inference systems 610 $aANFIS 610 $aartificial neural network 610 $aartificial neural networks 610 $aclear sky irradiance 610 $aclustering-based PV fault detection 610 $aCOA 610 $acomplex network analysis 610 $adata fusion 610 $adeterioration 610 $adeterministic optimization algorithm 610 $adiffractive grating 610 $adiffractive optical element 610 $adouble flames generation (DFG) strategy 610 $aduty cycle 610 $aenvironmental parameters 610 $afault prognosis 610 $afeed-forward neural networks 610 $afinite difference time domain 610 $agenetic algorithm 610 $aglobal horizontal irradiance 610 $aglobal optimization 610 $agradient descent 610 $ahot spot 610 $aimage processing 610 $aimplicit model solution 610 $aintegrated energy systems 610 $alinear approximation 610 $along short-term memory 610 $aLSTM cell 610 $amachine learning 610 $amathematical modeling 610 $amaximum power point tracking 610 $ametaheuristic optimization algorithm 610 $amoth-flame optimization 610 $aMPPT algorithm 610 $amultiple regression model 610 $anational power system 610 $aoptical modelling 610 $aparameter extraction 610 $apartial shading 610 $aparticle swarm optimization-artificial neural networks 610 $aperformances evaluation 610 $apersistent predictor 610 $aphotovoltaic array 610 $aphotovoltaic model 610 $aphotovoltaic module 610 $aphotovoltaic plants 610 $aphotovoltaic power prediction 610 $aphotovoltaic system 610 $aphotovoltaic systems 610 $aphotovoltaics 610 $apublicly available weather reports 610 $aPV fleet 610 $aPV power prediction 610 $aPVs power output forecasting 610 $arecurrent neural networks 610 $arenewable energy 610 $aself-imputation 610 $asensor network 610 $aseries-parallel 610 $asingle stage grid connected systems 610 $asingle-diode model 610 $asmart energy management 610 $asolar cell optimization 610 $aSolar cell parameters 610 $asolar concentrator 610 $asolar irradiation 610 $aspectral beam splitting 610 $astatistical method 610 $asustainable development 610 $athermal image 610 $atwo-diode model 610 $aunsupervised learning 615 7$aHistory of engineering and technology 700 $aVitelli$b Massimo$4edt$01297561 702 $aCostanzo$b Luigi$4edt 702 $aVitelli$b Massimo$4oth 702 $aCostanzo$b Luigi$4oth 906 $aBOOK 912 $a9910557297703321 996 $aComputational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications$93024546 997 $aUNINA