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[null,"1.","Record Nr.",null,"UNISA996478866303316"]
[null,null,"Autore",null,"Stephanidis Constantine"]
[null,null,"Titolo",null,"HCI international 2022 posters . Part II : 24th international conference on human-computer interaction, HCII 2022, virtual event, June 26 - July 1, 2022, proceedings / / Constantine Stephanidis, Margherita Antona, and Stavroula Ntoa"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer International Publishing, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-06388-0"]
[null,null,"Descrizione fisica",null,"1 online resource (414 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science"]
[null,null,"Disciplina",null,"004.019"]
[null,null,"Soggetti",null,"Human-computer interaction"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,"2.","Record Nr.",null,"UNINA9910819090303321"]
[null,null,"Autore",null,"Lipman Joseph"]
[null,null,"Titolo",null,"Topological invariants of quasi-ordinary singularities, embedded topological classificationof quasi-ordinary singularities / / Joseph Lipman, Yih-Nan Gau ; with an appendix by Joseph Lipman"]
[null,null,"Pubbl/distr/stampa",null,"Providence, Rhode Island, United States : , : American Mathematical Society, , 1988"]
[{"$nulls":4},"©1988"]
[null,null,"ISBN",null,"1-4704-0808-2"]
[null,null,"Descrizione fisica",null,"1 online resource (137 p.)"]
[null,null,"Collana",null,"Memoirs of the American Mathematical Society, , 0065-9266 ; ; Volume 74, Number 388"]
[null,null,"Disciplina",null,"510 s"]
[null,null,"Soggetti",null,"Singularities (Mathematics)"]
[{"$nulls":4},"Analytic spaces"]
[{"$nulls":4},"Knot theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"July 1988, Volume 74, Number 388 (end of volume)\"--Cover."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Table of Contents\"\"; \"\"Topological invariants of quasi-ordinary singularities\"\"; \"\"Introduction\"\"; \"\"I â€? Rational equivalence and local homology in codimension one\"\"; \"\"Â1. Local fundamental class map\"\"; \"\"Â2. Codimension one cycles at quotient singularities\"\"; \"\"Â3. Quasi-ordinary singularities\"\"; \"\"Â4. Presentation of the group A[sub(d-1)] â?? H[sub(2d-2)]\"\"; \"\"II â€? The hypersurface case\"\"; \"\"Â5. Characteristic monomials of quasi-ordinary parametrizations\"\"; \"\"Â6. Topological invariance of the reduced branching sequence\"\"; \"\"Â7. Appendix: The singular locus\"\"; \"\"References\"\""]
[{"$nulls":4},"\"\"Embedded topological classification of quasi-ordinary singularities\"\"\"\"Introduction\"\"; \"\"Â1. Statement of main results\"\"; \"\"Â2. Some plane sections of X and two key lemmas\"\"; \"\"Â3. Topological invariants\"\"; \"\"Â4. Proof of the main theorem\"\"; \"\"References\"\"; \"\"Appendix\"\""]
[null,"3.","Record Nr.",null,"UNINA9910557346903321"]
[null,null,"Autore",null,"Deschrijver Dirk"]
[null,null,"Titolo",null,"Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (201 p.)"]
[null,null,"Soggetti",null,"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems."]