00955nam0-2200313---450 99000856975040332120190529131441.0000856975FED01000856975(Aleph)000856975FED0100085697520071023d1934----km-y0itay50------baengNLa-------001yyInheritance of colours and pod characters in Phaseolus vulgaris L.Roelof PrakkenThe HagueMartinus Nijhoff1934p. 177-294, 2 c. di tav.ill.24 cmEstr. da: Genetica, v. 16, 1934Phaseolus vulgaris583.32220itaPrakken,Roelof304407ITUNINARICAUNIMARCLG99000856975040332160 Op. 162/40FAGBCFAGBCInheritance of colours and pod characters in Phaseolus vulgaris L711452UNINA03854 am 2200973 n 450 9910136926603321201506152-916125-39-610.4000/books.alpara.1880(CKB)3710000000718673(FrMaCLE)OB-alpara-1880(oapen)https://directory.doabooks.org/handle/20.500.12854/46799(PPN)195771362(EXLCZ)99371000000071867320160602j|||||||| ||| 0freuu||||||m||||txtrdacontentcrdamediacrrdacarrierEspaces monastiques ruraux en Rhône-Alpes /Jean-François ReynaudLyon Alpara20151 online resource (208 p.) 2-9516145-2-7 Dans des cadres géographiques et historiques très diversifiés, les couloirs, plaines, collines et montagnes de l’actuel espace rhônalpin ont accueilli au Moyen Âge un grand nombre d’abbayes des principaux ordres religieux. Ces abbayes et d’autres, plus lointaines, ont multiplié les prieurés, mettant en place de véritables réseaux. Cet ouvrage s’attache à décrire l’implantation, au sens large du terme, de ces établissements monastiques, leurs moyens de subsistance et leur aspect monumental. Sous la direction magistrale de Marcel Pacaut, récemment disparu, le premier exposé traite de l’installation, du développement du monachisme et de ses fonctions religieuses. Michel Wullschleger a coordonné l’analyse des modes d’insertion des communautés monastiques dans le monde et la société de leur temps. Jean-François Reynaud a assumé la direction générale de l’ouvrage et s’est spécialement impliqué dans l’étude de l’architecture et des fonctions des bâtiments religieux, communautaires et utilitaires.History & ArchaeologyMoyen Âgeéglisearchéologiearchivescommunauté monastiqueprieurépériode moderneabbayemonastèrechartreuselithurgieparoissecommunauté monastiqueMoyen Âgearchiveséglisestemps modernesprieurésarchéologielithurgieHistory & ArchaeologyMoyen Âgeéglisearchéologiearchivescommunauté monastiqueprieurépériode moderneabbayemonastèrechartreuselithurgieparoisseBoekholt Christiane1314004Cattin Paul1314661Coste Cécile1314662Dehent Giney1314663Hurtin Stéphanie1314664Pacaut Marcel160492Réthoré Pascale1314665Reynaud Jean-François488043Riche Denise1314666Rubellin Michel1294242Sarazin Pascale1299317Sirot Élisabeth1314667Sorin Sabine1314668Tardieu Joëlle1282838Thirion Philippe1285403Treffort Cécile459462Vernin Emmanuelle1307686Viscusi Valérie1314669Wullschleger Michel1314670Reynaud Jean-François488043FR-FrMaCLEBOOK9910136926603321Espaces monastiques ruraux en Rhône-Alpes3031899UNINA04406nam 2201201z- 450 991055764580332120220111(CKB)5400000000044995(oapen)https://directory.doabooks.org/handle/20.500.12854/76890(oapen)doab76890(EXLCZ)99540000000004499520202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEnergy Data Analytics for Smart Meter DataBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (346 p.)3-0365-2016-3 3-0365-2017-1 The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.Technology: general issuesbicsscactivation currentambient influencesappliance load signaturesappliance recognitionattention mechanismconvolutional neural networkConvolutional Neural Networkdata annotationdata privacydata-driven approachesdeep learningdeep neural networkdeep neural networksdevice classification accuracydistance similarity matrixelectric load simulationelectric vehicleelectrical energyelectricity theft detectionenergy consumptionenergy data analyticsenergy data processingenergy disaggregationethicsexponential distributionfryze power theoryGaussian mixture modelsGDPRK-means clusterload disaggregationload schedulingmachine learningmathematical modelingmulti-label learningn/aNILMNILM datasetsnon-intrusive load monitoringNon-intrusive Load MonitoringNon-Intrusive Load Monitoring (NILM)nontechnical lossesPoisson distributionpower consumption datapower signaturepulse generatorrandom forestreal-timereviewsatisfactionsemi-automatic labelingShapley Valuesignaturesimulationsmart energy systemsmart gridsmart gridssmart metersmart meter datasmart meteringsmart meterssmart power gridssolar photovoltaicssynthetic datasynthetic minority oversampling techniquetext convolutional neural networks (TextCNN)time-series classificationtransient load signaturetransientsuser-centric applications of energy dataV-I trajectoryTechnology: general issuesReinhardt Andreasedt1295460Pereira LucasedtReinhardt AndreasothPereira LucasothBOOK9910557645803321Energy Data Analytics for Smart Meter Data3023469UNINA