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Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani
Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XIX, 357 p. 201 illus., 43 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Mathematical logic
Information storage and retrieval
Mathematical statistics
Artificial Intelligence
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
Information Storage and Retrieval
Probability and Statistics in Computer Science
ISBN 3-030-26773-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466442603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Modeling Decisions for Artificial Intelligence : 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani
Modeling Decisions for Artificial Intelligence : 16th International Conference, MDAI 2019, Milan, Italy, September 4–6, 2019, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XIX, 357 p. 201 illus., 43 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Machine theory
Information storage and retrieval systems
Computer science - Mathematics
Mathematical statistics
Artificial Intelligence
Data Mining and Knowledge Discovery
Formal Languages and Automata Theory
Information Storage and Retrieval
Probability and Statistics in Computer Science
ISBN 3-030-26773-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910349302603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Shot-Earth for an Eco-friendly and Human-Comfortable Construction Industry / / edited by Angelo Marcello Tarantino, Franco Cotana, Marco Viviani
Shot-Earth for an Eco-friendly and Human-Comfortable Construction Industry / / edited by Angelo Marcello Tarantino, Franco Cotana, Marco Viviani
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (152 pages)
Disciplina 691
693.2
Collana Springer Tracts in Civil Engineering
Soggetto topico Buildings - Design and construction
Sustainability
Renewable energy sources
Building Construction and Design
Renewable Energy
ISBN 9783031235078
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Experimental characterization of the main physical properties of the shot-earth -- X-rays CT and mesoscale FEM of the shot-earth material -- Evaluation of the elastic properties of Shot-Earth: analytic modelling and experimental validation -- Novel smart-earth composites for sustainable self-sensing structures: characterization of the material and applications on a real-scale vault -- Environmental sustainability of earth-based materials for the carbon neutrality of the built environment -- Thermal-acoustic and indoor comfort performance of nature-based materials for green buildings -- Shot-earth: a material for structural engineering -- The challenge of designing a new class of earth-based composites able to increase the circularity and sustainability of the construction market.
Record Nr. UNINA-9910720086403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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