Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational ...
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Languages, Methodologies and Development Tools for Multi-Agent Systems : First International Workshop, LADS 2007, Durham, UK, September 4-6, 2007. Revised Selected Papers
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Languages, ...
اقرأ المزيدLearn BlackBerry 10 App Development : A Cascades-Driven Approach
Learn how to leverage the BlackBerry 10 Cascades framework to create rich native applications. Learn BlackBerry 10 App Development ...
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Learning to Live in the Knowledge Society : IFIP 20th World Computer Congress, IFIP TC 3 ED-L2L Conference September 7–10, 2008, Milano, Italy
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The ...
اقرأ المزيدLinked Open Data -- Creating Knowledge Out of Interlinked Data : Results of the LOD2 Project
Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, ...
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MDCT: A Practical Approach
Computed tomography (CT) is the most rapidly evolving medical imaging technology. This book describes current examination ...
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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted ...
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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks / Krishna Kant Singh, Akansha Singh, Korhan Cengiz, Dac-Nhuong Le
Communication and network technology has witnessed recent rapid development and numerous information services and applications ...
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Machine Learning and Probabilistic Graphical Models for Decision Support Systems / Kim Phuc Tran
Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems ...
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Machine Learning for Multimedia Content Analysis
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia ...
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Magnetic Control of Tokamak Plasmas
The main topic of Magnetic Control of Tokamak Plasmas is the design of feedback control systems guaranteeing the stability ...
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Magnetic Resonance Tomography
This book provides a comprehensive overview of both the physics and the clinical applications of MRI, including practical ...
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Management by Business Process : A Managerial Perspective of People, Process, and Technology / José Osvaldo De Sordi
To support businesses managed through an organizational structure oriented by business processes, it is essential that the ...
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Management of Converged Multimedia Networks and Services : 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2008, Samos Island, Greece, September 22-26, 2008. Proceedings
This volume presents the proceedings of the 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile ...
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Managing Development and Application of Digital Technologies
Digital technology determines today’s world and will be one of the key technologies of the future. Successful technology ...
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Managing Distributed Cloud Applications and Infrastructure A Self-Optimising Approach
The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures ...
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Manual of Digital Earth
This book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision ...
اقرأ المزيدMarket Engineering Insights from Two Decades of Research on Markets and Information
This book provides a broad range of insights on market engineering and information management. It covers topics like auctions, ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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