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1. |
Record Nr. |
UNISA990003519640203316 |
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Titolo |
3966 VFP4 : esercito marina aeronautica : concorso per 3966 volontari in ferma prefissata quadriennale (VFP4)- (G.U. n. 80 dell'8 ottobre 2010) : manuale completo per la preparazione, simulazioni di prove di selezione culturale |
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Pubbl/distr/stampa |
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Santarcangelo di Romagna : Maggioli, 2010 |
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ISBN |
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Descrizione fisica |
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Collana |
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Disciplina |
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Soggetti |
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Forze armate - Manuali per concorsi |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA996466278903316 |
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Titolo |
Mathematical and Computational Oncology [[electronic resource] ] : First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings / / edited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XXIII, 99 p. 117 illus., 26 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11826 |
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Disciplina |
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Soggetti |
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Optical data processing |
Software engineering |
Artificial intelligence |
Mathematical statistics |
Image Processing and Computer Vision |
Software Engineering |
Artificial Intelligence |
Probability and Statistics in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Special Track: Tumor evolvability and intra-tumor heterogeneity -- Imaging and scientific visualization for cancer research -- Statistical methods and data mining for cancer research (SMDM) -- Spatio-temporal tumor modeling and simulation (STTMS). |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019. The 7 full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data |
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mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS). |
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