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Diffusion processes in large networks have been used to model many real-world phenomena, including how rumors spread on the Internet, epidemics among... Læs mere
A detailed introduction to the design, implementation, and use of network simulation tools is presented. This text is essential to any student, researcher, or network architect desiring a detailed understanding of how network simulation tools are designed, implemented, and used.
The algebraic path problem is a generalization of the shortest path problem in graphs. Path problems in networks can be conceptually divided into two parts: A distillation of... Læs mere
We then introduce basic ideas of Markov chain modeling: Markov property, discrete time Markov chain (DTMC) and continuous time Markov... Læs mere
Table of Contents: Networking overview / Graphs / Games / Search in structured networks / Search in unstructured networks /... Læs mere
Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented.
The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows.
Uncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world of infrared imaging and detection algorithms.
Every high-profile data breach underlines the need for cybersecurity. A proper understanding of threats, vulnerabilities, and most-likely attacks empowers you to make better decisions and mitigate risks.
Knowledge graphs represent a real paradigm shift in the way that machines can understand data by effectively modeling the contextual information that’s vital for... Læs mere