01231cam0-22004451i-450 99000721828040332120210722112103.0000721828FED01000721828(Aleph)000721828FED0100072182820130129d1982----km-y0itay50------baitaITy-------001yy<<I >>provvedimenti d'urgenzaex art. 700 c.p.c.Giovanni Arietaprefazione di Luigi MontesanoPadovaCedam1982X, 418 p.24 cmIn appendice: Giurisprudenza "ragionata"Provvedimenti di urgenza34718itaArieta,Giovanni231308ITUNINARICAUNIMARCBK99000721828040332119-F-683634DDCPDPR 32-2459027DECEE-120inv.DDRCD-XI-7lavDDRCXXVI 402 CCDDCIC19-F-1752414 nav.DDCPI G 5520772FSPBCDECDDCICDDRCDDCPFSPBCProvvedimenti d'urgenza269729UNINAGEN0101567nam 22004213 450 991048201320332120221219084638.0(CKB)5450000000014405(MiAaPQ)EBC7101444(Au-PeEL)EBL7101444(OCoLC)1348487772(EXLCZ)99545000000001440520221219d2020 uy 0gerurcnu||||||||txtrdacontentcrdamediacrrdacarrierDas modernisierte Besteuerungsverfahren in Deutschland im Vergleich zu Österreich. Die verfassungsgemäße Fortentwicklung von E-Government als Herausforderung und Chance für die deutsche Finanzverwaltung1st ed.Berlin :Duncker & Humblot,2020.©2021.1 online resource (339 pages)Schriften zum Steuerrecht3-428-18107-7 3-428-58107-5 Schriften zum SteuerrechtModernisierte Besteuerungsverfahren in Deutschland im Vergleich zu ÖsterreichModernisierte Besteuerungsverfahren in Deutschland im Vergleich zu Österreich. Modernisierte Besteuerungsverfahren in Deutschland im Vergleich zu Österreich. Schmidt Christoph954566MiAaPQMiAaPQMiAaPQBOOK9910482013203321Das modernisierte Besteuerungsverfahren in Deutschland im Vergleich zu Österreich2985043UNINA01086nam0 22002891i 450 UON0006833820231205102340.150O7-10-30283-520020107d1989 |0itac50 baengGB|||| |||||Palestinian costumeJehan S. RajabLondonNew YorkKegan Paul International1989160 p.ill.28 cmCostumi tradizionali palestinesi Gioielli tradizionali mediorientaliABBIGLIAMENTOPalestinaUONC018407FIGBLondonUONL003044646ABBIGLIAMENTO21RAJABJehan S.UONV042289657250Kegan Paul InternationalUONV251692650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00068338SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI PAL Afr XIV 002 SI AA 13993 5 002 Palestinian costume1169934UNIOR03923nam 22005775 450 991025482250332120200706021009.0981-10-4322-110.1007/978-981-10-4322-2(CKB)3710000001411808(DE-He213)978-981-10-4322-2(MiAaPQ)EBC4884387(PPN)202989194(EXLCZ)99371000000141180820170623d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierBreath Analysis for Medical Applications /by David Zhang, Dongmin Guo, Ke Yan1st ed. 2017.Singapore :Springer Singapore :Imprint: Springer,2017.1 online resource (XIII, 309 p. 99 illus., 88 illus. in color.) 981-10-4321-3 1. Introduction -- 2. Literature Review -- 3. A Novel Breath Acquisition System Design -- 4. An LDA Based Sensor Selection Approach -- 5. Sensor Evaluation in a Breath Acquisition System -- 6. Improving the Transfer Ability of Prediction Models -- 7. Learning Classification and Regression Models for Breath Data with Drift based on Transfer Samples -- 8. A Transfer Learning Approach with Autoencoder for Correcting Instrumental Variation and Time-Varying Drift -- 9. Drift Correction using Maximum Independence Domain Adaptation -- 10. Feature Selection and Analysis on Correlated Breath Data -- 11. Breath Sample Identification by Sparse Representation-based Classification -- 12. Monitor Blood Glucose Levels via Sparse Representation Approach -- 13. Diabetics by Means of Breath Signal Analysis -- 14. A Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction. 15. A Novel Medical E-Nose Signal Analysis System -- 16. Book Review and Future Work.This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics.Medical informaticsPattern perceptionSignal processingImage processingSpeech processing systemsHealth Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Medical informatics.Pattern perception.Signal processing.Image processing.Speech processing systems.Health Informatics.Pattern Recognition.Signal, Image and Speech Processing.502.85Zhang Davidauthttp://id.loc.gov/vocabulary/relators/aut763056Guo Dongminauthttp://id.loc.gov/vocabulary/relators/autYan Keauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254822503321Breath Analysis for Medical Applications2517174UNINA