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1. |
Record Nr. |
UNINA9910709519503321 |
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Autore |
Brown B. F (Benjamin Floyd), <1920-1981.> |
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Titolo |
Corrosion and metal artifacts - a dialogue between conservators and archaeologists and corrosion scientists / / B. Floyd Brown, Harry C. Burnett, W. Thomas Chase, Martha Goodway, Jerome Kruger, Marce Poubaix |
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Pubbl/distr/stampa |
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Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1977 |
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Descrizione fisica |
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Collana |
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NBS special publication ; ; 479 |
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Altri autori (Persone) |
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BrownB. F <1920-1981.> (Benjamin Floyd) |
BurnettHarry C |
ChaseW. T (William Thomas) |
GoodwayMartha |
KrugerJerome |
PourbaixMarce |
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Soggetti |
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Antiquities - Collection and preservation |
Art objects - Conservation and restoration |
Corrosion and anti-corrosives |
Conference papers and proceedings. |
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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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Note generali |
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1977. |
Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes. |
Title from PDF title page. |
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Nota di bibliografia |
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Includes bibliographical references. |
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2. |
Record Nr. |
UNINA9910367736303321 |
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Autore |
Keller Karsten |
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Titolo |
Entropy Measures for Data Analysis: Theory, Algorithms and Applications |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (260 p.) |
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Soggetti |
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History of engineering and technology |
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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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Sommario/riassunto |
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Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given. |
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