Covers important topics and approaches related to the modeling and simulation of complex communication networks from a complex ...
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The book will be of great value in undergraduate courses in chemistry, physics, biology, applied mathematics, and bioinformatics, ...
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The 17 articles in this state-of-the-art survey address artificial intelligence research on communicative agents and also ...
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Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex ...
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DEA is computational at its core and this book by Zhu and Cook deals with the micro aspects of handling and modeling data ...
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Decision modeling is a key area in the developing field of AI, and this timely work connects researchers and professionals ...
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This book constitutes the refereed proceedings of the Third International Conference on Modeling Decisions for Artificial ...
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This book constitutes the refereed proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence, ...
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This volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach ...
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The idea is to construct a kind of mathematical application in which any fundamental formal entity and/or operation has an ...
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This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, ...
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The aim of this book is to survey a number of chemical compounds that chemists, both theoretical and experimental, find fascinating. ...
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MODELING PERFORMANCE MEASUREMENT: Applications and Implementation Issues in DEA presents unified results from authors’ ...
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In this book, Jos de Bruijn and his coauthors lay the foundations for understanding the requirements that shape the description ...
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Solar radiation data is important for a wide range of applications, e.g. in engineering, agriculture, health sector, and ...
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The book focuses as much on course content as on instruction and learning methodology, and presents practical aspects that ...
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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
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The principal goal of the book is to describe new accurate and robust algorithms for open resonant structures with substantially ...
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Modeling and computations in electromagnetics is a quite novel and growing discipline, expanding as a result of the steadily ...
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Modeling and Control of Antennas and Telescopes presents the author’s research and field experience in the area of antenna ...
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