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Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved.
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“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation.
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Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades.
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This book is dedicated to Sensing systems for Structural Health Monitoring offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Civil and Construction engineers.
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In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market.
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It can be argued that architecture principles form the cornerstone of any architecture. The focus of this book is on the role of architecture principles. It provides both a balanced perspective on architecture principles, and is the first book on the topic.
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This volume contains the articles presented at the 20th International Meshing Roundtable (IMR) organized, in part, by Sandia National Laboratories and was held in Paris, France on Oct 23-26, 2011.
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CSIE 2011 is an international scientific Congress for distinguished scholars engaged in scientific, engineering and technological... Læs mere
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The book comprises an assembly of benchmarks and examples for porous media mechanics collected over the last twenty... Læs mere
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The integration of the 3rd dimension in the production of spatial representation is largely recognized as a valuable approach to comprehend our... Læs mere
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This book represents the refereed proceedings of the Ninth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Warsaw (Poland) in August 2010.