01856nam0 2200385 i 450 VAN013277820230621103338.842N978331901177620210325d2014 |0itac50 baengCH|||| |||||Background Processes in the Electrostatic Spectrometers of the KATRIN ExperimentDoctoral Thesis accepted by the Karlsruhe Institute of Technology, GermanySusanne MertensChamSpringer2014xvi, 196 p.ill.24 cm001VAN01041932001 Springer thesesrecognizing outstanding Ph.D. research210 BerlinSpringer2010-VAN0134746Background Processes in the Electrostatic Spectrometers of the KATRIN Experiment176872881-XXQuantum theory [MSC 2020]VANC019967MFDirect Neutrino Mass MeasurementKW:KElectron Cyclotron ResonanceKW:KKASSIOPEIA MethodKW:KKATRIN ExperimentKW:KLow Background Tritium SpectroscopyKW:KTritium Beta DecayKW:KCHChamVANL001889MertensSusanneVANV106599791348Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-319-01177-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0132778BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 1974 08eMF1974 20210325 Background Processes in the Electrostatic Spectrometers of the KATRIN Experiment1768728UNICAMPANIA01302nam0 22002771i 450 UON0047757420231205105234.67901-982480-1-620170531d1987 |0itac50 baitaIT|||| |||||A paraphrase and notes on the epistles of St. Paul to the Galatians, 1 and 2 Corinthians, Romans, Ephesians. 1John Lockeedited by Arthur W. WainwrightOxfordat Clarendon press1987IX, 479 p.23 cm.BibbiaNuovo TestamentoUONC083114FIGBOxfordUONL000029LockeJohnUONV11405644514WAINWRIGHTArthur W.UONV235306Clarendon PressUONV246509650ITSOL20250711RICAUON00477574SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI FS 05519 1 SI FP 6198 5 1 SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI FS 05519 2 SI FP 6199 5 2 Paraphrase and notes on the epistles of St. Paul to the Galatians, 1 and 2 Corinthians, Romans, Ephesians. 13900683UNIOR04846nam 2201225z- 450 991057687810332120220621(CKB)5720000000008394(oapen)https://directory.doabooks.org/handle/20.500.12854/84521(oapen)doab84521(EXLCZ)99572000000000839420202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierData Science and Knowledge DiscoveryBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (254 p.)3-0365-4316-3 3-0365-4315-5 Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining.Computer sciencebicsscInformation technology industriesbicsscactivity recognitionadaptation processArcGISartificial intelligenceattributionauthorshipautomationbig dataBig Databox-counting frameworkchatbotsclassificationcontent base image retrievalCOVID-19crisis reportingcustomer relationship management (CRM)dashboarddata analysisdata analyticsdata augmentationdata miningdata sciencedatabasesdecision systemsdeep featuresdeep learningdigital humanitiesdigital infrastructuresdistracted drivingdriving behaviordriving operation areae-commerceeconomic determinants of open dataESP32 microcontrollerfeature extractionforensic intelligencefractal dimensiongeoinformation technologygovernance and social institutionshumanitiesICTinformation systemsinterdisciplinary researchinternet of thingsioCOVID19journalistslinked open dataLoRaWANmachine learningmedia analyticsmedia criticismmultimedia document retrievaln/aneural networksnews mediaopen government dataprediction by partial matchingpublic healthrough setsrule based systemsSARS-CoV-2script Pythonsemantic information retrievalsmart homessocial sciencesspatio-temporalterritorial road networktext miningtextbook researchThe Things NetworkWeb IntelligenceWebGISComputer scienceInformation technology industriesPortela Filipeedt1268012Portela FilipeothBOOK9910576878103321Data Science and Knowledge Discovery3021749UNINA