Computers - Computer Science

The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces the reader to this topic but enables him to conduct the various unit root tests and co-integration methods on his...

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application...

Combinatorial optimization algorithms are used in many applications including the design, management, and operations of communication networks. The objective of this book is to advance and promote the theory and applications of combinatorial optimization in communication networks. Each chapter of the book is written...

The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. This...

This book is intended to give undergraduate and beginning graduate students and researchers in computer vision, applied mathematics, robotics, and computer graphics a self-contained introduction to the geometry of 3D vision. Exercises are provided at the end of each chapter.Author: Yi Ma, Stefano Soatto,...

A new scientific monograph developing significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. will find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.Author: Vladimir Vovk, Alex...

A recurring theme of the public discourse on immigration in Europe today is that migrants are primarily young people, of working age. Against this short-sighted view, the main contribution of this book is to propose that processes of ageing and dying constitute a critical...

Problems in Set Theory, Mathematical Logic and the Theory of Algorithms by I. Lavrov & L. Maksimova is an English translation of the fourth edition of the most popular student problem book in mathematical logic in Russian. It covers major classical topics in proof...

Gualtiero Piccinini articulates and defends a mechanistic account of concrete, or physical, computation. A physical system is a computing system just in case it is a mechanism one of whose functions is to manipulate vehicles based solely on differences between different portions of the...

Formal logic, free from the ambiguities of natural languages, is especially suited for use in computing. In turn, model theory, which is concerned with the relationship between mathematical structures and logic, now has a wide range of applications in areas such as computing, philosophy,...

The Handbook of Logic in Computer Science is a six-volume, internationally authored work which offers a comprehensive treatment of the application of logic to theoretical computer science. Each volume is comprised of an average of five 100-page monographs and presents an in-depth overview of...

Cybercrime Investigation Case Studies is a first look excerpt from Brett Shavers' new Syngress book, Placing the Suspect Behind the Keyboard. Case studies are an effective method of learning the methods and processes that were both successful and unsuccessful in real cases. Using a...

This book constitutes the refereed proceedings of the 15th International Conference on Cellular Automata for Research and Industry, ACRI 2022, which took place in Geneva, Switzerland, in September 2022.The 31 full papers presented in this volume were carefully reviewed and selected from 36 submissions....

This volume comprises the carefully revised papers of the 9th IUTAM Symposium on Laminar-Turbulent Transition, held at the Imperial College, London, UK, in September 2019. The papers focus on the leading research in understanding transition to turbulence, which is a challenging topic of fluid...

Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression,...

Begin working with the Grafana data visualization platform. This book is a "how-to manual" for deploying and administering Grafana, creating real-time dashboards and alerts, exploring the data you have, and even synthesizing new data by combining and manipulating data from multiple different sources. You'll...

Multilayer neural networks based on multi-valued neurons (MLMVNs) have been proposed to combine the advantages of complex-valued neural networks with a plain derivative-free learning algorithm. In addition, multi-valued neurons (MVNs) offer a multi-valued threshold logic resulting in the ability to replace multiple conventional output...

This book is designed primarily for use as a textbook in a one-semester course on compiler design for undergraduate students and beginning graduate students. The only prerequisites for this book are familiarity with basic algorithms and data structures (lists, maps, recursion, etc.), a rudimentary...

Digital technology is fundamentally altering the world we live in, but can only be truly understood in relation to the physical world we all inhabit. The most successful future products and policies will be those that take this rich digital/physical ecology seriously. The physical...

This textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform...

Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.aiKey Features: Learn how to train the best models with a single click using H2O AutoML Get a simple explanation of model performance using H2O Explainability Easily...

Up-to-date, rule-by-rule clarification of the requirements in the 2023 NESC(R)Designed to be used alongside the code itself, McGraw Hill's National Electrical Safety Code(R) (NESC(R)) 2023 Handbook has been fully updated to reflect the changes in the 2023 NESC. You will gain access to straightforward,...

A fascinating, richly illustrated journey through the history of artificial intelligence--and an honest assessment of our future alongside it. Artificial intelligence has long been a mainstay of science fiction, and increasingly it feels as if AI is entering our everyday lives, with virtual personal...

A new approach to teaching computing and technology ethics using science fiction stories. Should autonomous weapons be legal? Will we be cared for by robots in our old age? Does the efficiency of online banking outweigh the risk of theft? From communication to travel...

This book presents a systematic exposition of the main ideas and methods in treating inverse problems for PDEs arising in basic mathematical models, though it makes no claim to being exhaustive. Mathematical models of most physical phenomena are governed by initial and boundary value...

Information Systems Project Management addresses project management in the context of information systems. It deals with general project management principles, with focus on the special characteristics of information systems. It is based on an earlier text, but shortened to focus on essential project management...

This book analyzes the fundamental issues faced when blockchain technology is applied to real-life applications. These concerns, not only in the realm of computer science, are caused by the nature of technological design. Blockchain is considered the foundation of a wide range of flexible...

This is the first book to develop both the theory and the practice of synthesizing musical sounds using computers. Each chapter starts with a theoretical description of one technique or problem area and ends with a series of working examples (over 100 in all),...

Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then the list of areas which have interacted with the development of graph grammars has grown quite impressively. Besides the aforementioned areas it includes software specification and...

Fuzzy set theory provides us with a framework which is wider than that of classical set theory. Various mathematical structures, whose features emphasize the effects of ordered structure, can be developed on the theory. Fuzzy topology is one such branch, combining ordered structure with...

Systems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production. Integrating systems biology and biotechnology with new concepts from synthetic biology enables the global analysis and engineering of microorganisms and bioprocesses at super efficiency and versatility otherwise...

CMOS DC-DC Converters aims to provide a comprehensive dissertation on the matter of monolithic inductive Direct-Current to Direct-Current (DC-DC) converters. For this purpose seven chapters are defined which will allow the designer to gain specific knowledge on the design and implementation of monolithic inductive...

Quantifiers: Logics, Models and Computation is the first concentrated effort to give a systematic presentation of the main research results on the subject, since the modern concept was formulated in the late '50s and early '60s. The majority of the papers are in the...

Embedded systems are today, widely deployed in just about every piece of machinery from toasters to spacecraft. Embedded system designers face many challenges. They are asked to produce increasingly complex systems using the latest technologies, but these technologies are changing faster than ever. They...

The research presented in Aspects of Kolmogorov Complexity addresses the fundamental standard of defining randomness as measured by a Martin-Lof level of randomness as found in random sequential binary strings. A classical study of statistics that addresses both a fundamental standard of statistics as...

1. Introduction.- 2. Reversible Logic Elements with Memory.- 3. Classification of Reversible Logic Elements with Memory and Their Universality.- 4. Reversible Logic Gates.- 5. Reversible Turing Machines.- 6. Making Reversible Turing Machines from Reversible Primitives.- 7. Universal Reversible Turing Machines.- 8. Space-Bounded Reversible Turing...

The International Cooperation for the Integration of Processes in Pre-press, Press and Postpress Organization (CIP4) provides a technical standard for reliable interoperability between different hardware and software vendors in the print media industry. The standard is based on the Job Definition Format (JDF), an...

Digital images or 3D visualizations often need to be augmented with information that assists the viewer in understanding what is portrayed or that provides additional knowledge. The data representation of such descriptive metadata is a challenging task since digital media can be stored in...

Chapter 1 - Searching for a solution method for the Smart Waste Collection Routing Problem, Ana Raquel Aguiar, Carolina Soares de Morais, (*)T穗ia Rodrigues Pereira Ramos and Ana Paula Barbosa-Poa Chapter 2 - A multi-objective and multi-period model to the design and operation of...

In this book the author explains domain engineering and the underlying science, and he then shows how we can derive requirements prescriptions for computing systems from domain descriptions. A further motivation is to present domain descriptions, requirements prescriptions, and software design specifications as mathematical...

Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics....

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what...

This book discusses the importance of knowledge as an intangible asset, separate from physical entities, that can enable us to understand and/or change the world. It provides a thorough treatment of knowledge, one that is free of ideological and philosophical preconceptions, and which relies...

Contents1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

1 Introduction.- 2 Investigating Low-Battery Anxiety of Mobile Users.- 3 User Energy and LBA Aware Mobile Video Streaming.- 4 Optimal Backup Power Allocation for 5G Base Stations.- 5 Reusing Backup Batteries for Power Demand Reshaping in 5G.- 6 Software-Defined Power Supply to Geo-Distributed Edge...

This Cybersecurity Book Covers Each And Every Topic Of The Cybersecurity. With The Help Of This Cybersecurity Book, You Can Learn Cybersecurity Very Easily, You Don't Need To Learn Cybersecurity The Hard Way. This Is One Of The Best Cybersecurity Book For Beginners To...

The present collection of articles focuses on different aspects of topological-materials studies. Recent progress in both, theoretical and experimental, studies is covered in this Special Issue. A particular stress is given on different optical investigations, as well as on recent band-structure calculations. Besides, neutron...

Particle accelerators and radiation based on radio-frequency (RF) cavities have significantly contributed to the advancement of science and technology in the most recent century. However, the rising costs and scales for building cutting-edge accelerators act as barriers to accessing these particle and radiation sources....

Extremely popular for statistical inference, Bayesian methods are also becoming popular in machine learning and artificial intelligence problems. Bayesian estimators are often implemented by Monte Carlo methods, such as the Metropolis-Hastings algorithm of the Gibbs sampler. These algorithms target the exact posterior distribution. However,...

This Festschrift, dedicated to Reiner H臧nle on the occasion of his 60th birthday, contains papers written by many of his closest collaborators.After positions at Karlsruhe Institute of Technology and Chalmers University of Technology, since 2011 Reiner has been the chaired professor of Software Engineering...