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1. |
Record Nr. |
UNISA990000747270203316 |
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Autore |
QUINTILI, Paolo |
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Titolo |
L' Illuminismo a fumetti / Paolo Quintili ; illustrazioni di Norie Kajihara |
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Pubbl/distr/stampa |
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Roma : Editori riuniti, 2001- |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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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. |
UNISA996465350303316 |
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Titolo |
The Development of Deep Learning Technologies [[electronic resource] ] : Research on the Development of Electronic Information Engineering Technology in China |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIV, 58 p. 15 illus., 13 illus. in color.) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer science |
Computer industry |
Artificial Intelligence |
Popular Computer Science |
The Computer Industry |
Asian Economics |
Asia Economic conditions |
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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. |
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Nota di contenuto |
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Chapter 1: Deep Learning: History and State-of-the-arts -- Chapter 2: Deep Learning Development Status in China -- Chapter 3: Future and Discussions. |
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Sommario/riassunto |
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This book is a part of the Blue Book series “Research on the Development of Electronic Information Engineering Technology in China,” which explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning methods in its ability to learn multiple levels of representation and abstraction by using several layers of nonlinear modules for feature extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status of deep learning development in China and the future of deep learning. |
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3. |
Record Nr. |
UNINA9910298615303321 |
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Autore |
Liu Jiping |
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Titolo |
Liquid Explosives / / by Jiping Liu |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (354 p.) |
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Disciplina |
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Soggetti |
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Materials science |
Fluids |
Thermodynamics |
Engineering geology |
Engineering—Geology |
Foundations |
Hydraulics |
Characterization and Evaluation of Materials |
Fluid- and Aerodynamics |
Geoengineering, Foundations, Hydraulics |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction.- Explosion Features of Liquid Explosive Materials -- Formulation design of liquid explosives -- Liquid Nitro explosives -- Preparation and Properties of Liquid Nitrate Ester -- Azido Liquid Explosives -- Liquid Explosive Mixtures. |
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Sommario/riassunto |
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The book drawing on the author’s nearly half a century of energetic materials research experience intends to systematically review the global researches on liquid explosives. The book focuses on the study of the conception, explosion mechanism, properties and preparation of liquid explosives. It provides a combination of theoretical knowledge and practical examples in a reader-friendly style. The book is likely to be interest of university researchers and graduate students in the fields of energetic materials, blasting engineering and mining. |
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