Database and Expert Systems Applications
The double volumes LNCS 12391-12392 constitutes the papers of the 31st International Conference on Database and Expert Systems ...
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Database and Expert Systems Applications
The double volumes LNCS 12391-12392 constitutes the papers of the 31st International Conference on Database and Expert Systems ...
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Database and Expert Systems Applications : 19th International Conference, DEXA 2008, Turin, Italy, September 1-5, 2008. Proceedings
This book constitutes the refereed proceedings of the 19th International Conference on Database and Expert Systems Applications, ...
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Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16–19, 2020, Proceedings
This book constitutes the refereed proceedings of the 14th International Baltic Conference on Databases and Information Systems, ...
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Databases in Networked Information Systems
This book Is focusing on data semantics and infrastructure for information management and interchange, the papers are organized ...
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Databases in Networked Information Systems
This book constitutes the refereed proceedings of the 4th International Workshop on Databases in Networked Information Systems, ...
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Databases in Networked Information Systems
This book Is focusing on data semantics and infrastructure for information management and interchange, the papers are organized ...
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Databases, Information Systems, and Peer-to-Peer Computing
The P2P paradigm lends itself to constructing large-scale, complex, adaptive, autonomous and heterogeneous database and information ...
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Databases, Information Systems, and Peer-to-Peer Computing
Peer-to-peer (P2P) computing promises to o?er exciting new possibilities in d- tributed information processing and database ...
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Databases, Information Systems, and Peer-to-Peer Computing
The P2P paradigm lends itself to constructing large-scale, complex, adaptive, autonomous and heterogeneous database and information ...
Continue readingDataset Studio / Anas khoula , Ashraf Albarouki , Majd Almorawed , Omar Abou assaf and Obaida Albllani ; supervised by Nada Ghneim and Waed Khwies محمد انس سيف الدين خولة ، اشرف الباروكي ، مجد المرود ، عمر ابو عساف و عبيدة البلاني ؛ إشراف ندى غنيم و وعد خويص
Data is the new oil, which means that AI engineers can face difficulties in locating suitable datasets. Dataset Studio is ...
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Datatype-Generic Programming
A leitmotif in the evolution of programming paradigms has been the level and extent of parametrisation that is facilitated ...
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Datatype-Generic Programming
A leitmotif in the evolution of programming paradigms has been the level and extent of parametrisation that is facilitated ...
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Decision Making under Deep Uncertainty
This book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
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Decision Making with the Analytic Network Process
This book is a selection of applications of ANP to economic, social and political decisions, and also to technological design. ...
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Declarative Agent Languages and Technologies V : 5th International Workshop, DALT 2007, Honolulu, HI, USA, May 14, 2007, Revised Selected and Invited Papers
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Declarative ...
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Decrypted Secrets
Cryptology, for millennia a "secret science", is rapidly gaining in practical importance for the protection of communication ...
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Decrypted Secrets
Cryptology, for millennia a "secret science", is rapidly gaining in practical importance for the protection of communication ...
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Deep Learning Approaches to Cloud Security / Pramod Singh Rathore, Vishal Dutt, Rashmi Agrawal, Satya Murthy Sasubilli, Srinivasa Rao Swarna
Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions ...
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits / Pranesh Santikellur, Rajat Subhra Chakraborty
Discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware ...
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