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This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent... Read More >>
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This book introduces a minimal set of principles and numerical techniques for spatio-temporal statistics that can... Read More >>
This book provides practical demonstrations of how to carry out definite integrals with Monte Carlo methods using... Read More >>
This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete... Read More >>
Upending notions of predictability and rugged individualism to reveal how truly random the world is. It's comforting... Read More >>
The handbook targets clinicians, graduate students, medical students, and researchers who seek to conduct quantitative... Read More >>
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation... Read More >>
This book discusses the two fundamental elements that underline the science and design of artificial intelligence... Read More >>
Schwere Sepsis geht mit einer hohen Sterblichkeitsrate einher und ist ein h�ufiges Problem in den Vereinigten Staaten.... Read More >>
This book is an autobiographical interview with Chinese Academician Yuan Wang on his experience in mathematical... Read More >>
Aimed at undergraduate students of statistics and researchers interested in the philosophical foundations of statistics.... Read More >>
The primary focus of the book is to explore the asymptotic behavior of problems formulated within cylindrical structures.... Read More >>
"The extensive section ""Data Science Demystified: A Journey Through the World of Predictive Analytics"" is an invaluable... Read More >>
For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics. Advances... Read More >>
This open access book presents the mathematical methods for huge data and network analysis. The automotive industry... Read More >>
