This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers d…
Exposing hacker methodology with concrete examples, this volume shows readers how to outwit computer predators. With screenshots and step by step instructions, the book discusses how to get into a Windows operating system without a username or password and how to hide an IP address to avoid detection. It explains how to find virtually anything on the Internet and explores techniques that hacker…
Fully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition is intended for those involved in the design or development of a database system or application. It begins by illustrating how to develop a Third Normal Form data model where data is placed “where it belongs”. The reader is taken step-by-step through the Normalization process, first us…
The Internet is not an unchartered territory. On the Internet, norms matter. They interact, regulate, are contested and legitimated by multiple actors. But are they diverse and unstructured, or are they part of a recognizable order? And if the latter, what does this order look like? This collected volume explores these key questions while providing new perspectives on the role of law in time…
AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-im…
This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks. The employed observer models are useful to compute probability distributions over observable events and hidden states, depending on which are present in the respective tasks. Bayesian…
This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based…
Explains fundamental and advanced topics in nanomedicine and their applications, with a focus on nanophototherapy of cancer-related diseases Provides complete instructions for using simulations effectively to predict nanoscale properties for real systems Includes numerous exercises for each chapter as well as a computer practicum software developed for Maple Guides readers through both…
This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering. Mathematical methods are presented in a unified manner, so they can be applied consistently to problems in applied electromagnetics, strength of materials, fluid mechanics, heat and mass transfer, environmental engineering, biomedical engin…
This book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other or far apart. Typically in computational proximity, the book starts with some form of proximity space (topological space equipped with a proximity relation) that has an inherent geometry. In CP, two types of near sets are considered, namely, spatial…