The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. T
Communication networks and distributed system technologies are undergoing rapid advancements. The last few years have experienced a steep growth in research on different aspects in these areas. Even t
The Handbook of Computer Networks is the third set of reference books from leading author and Professor of Management Information Systems at California State University, Bakersfield, Hossein Bidgoli.
This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks
This book aims to provide a deep look into Italian actions taken in some fields of science and high performance computing (HPC), and the Italian effort to bridge the HPC gap with respect to Europe. Th
As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behav
The open research center project “Interdisciplinary fundamental research toward realization of a quantum computer” has been supported by the Ministry of Education, Japan for five years. This is a coll
The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their latest reseaches, results, ideas, developments and applications in such areas as quantit
This book provides a comprehensive yet easy coverage of ad hoc and sensor networks and fills the gap of existing literature in this growing field. It emphasizes that there is a major interdependence a
This valuable handbook is a comprehensive compilation of state-of-art advances on security in computer networks. More than 40 internationally recognized authorities in the field of security and networ
This book provides a comprehensive yet easy coverage of ad hoc and sensor networks and fills the gap of existing literature in this growing field. It emphasizes that there is a major interdependence a
This book is devoted to the emerging and novel concepts, architectures and methodologies for creating an interconnected world where information can be exchanged easily, tasks can be processed collabor
Distributed systems are a continuously expanding area of computer science and computer engineering. This book addresses the need for literature on modeling and simulation techniques for distributed sy
The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory provides a fundamental tool for designing and analyzing such
Very few textbooks today explore distributed systems in a manner appropriate for university students. In this unique text, esteemed authors Tanenbaum and van Steen provide full coverage of the field i
"Quantum computing and quantum information are two of the fastest growing and most exciting research fields in physics. Entanglement, teleportation and the possibility of using the non-local behavior
In order to bridge the gap between artificial and synthetic intelligence, we must first understand our own intelligence. 'What is intelligence?' might appear as a simple question, but many great minds
The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many st
Computer scientists and engineers introduce semantic computing from the perspectives of understanding semantics, data science, data integration, and applications. Among their topics are methods and
Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. In its standard formulation, th
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems
Due to technological advancements in recent years, wireless systems have experienced significant improvements in reliability and performance. Now deeply integrated into daily life in modern society, t
Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution
Convenient organization into four parts: technical background, wireless communication technology, wireless local and personal area networks, and mobile wireless networks and applications. Animations p
Computation is ubiquitous: modern life would be inconceivable without it.This book includes conversations with famous computer scientists, mathematicians and physicists who have made essential contrib
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 11th of FLINS
This is a timely book that fills the gap in the study of Chinese overseas and their religions in the global context. Rich in ethnographic materials, this is the first comprehensive book that shows the
Wireless sensor networks have gained much attention these last years thanks to the great set of applications that accelerated the technological advances. Such networks have been widely investigated an
Harvesting energy from ambient energy resources to power electronic devices has been recognized as a promising solution to address the issue of powering the ever-growing number of mobile devices aroun
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in med
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and
Clouds are distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments that can be remotely utilized by organizations in a
Quantum Annealing: From Viewpoints of Statistical Physics, Condensed Matter Physics, and Computational Physics (Shu Tanaka and Ryo Tamura); Spin Glass: A Bridge between Quantum Computation and Statist
To overcome the problems of system theory and network theory over real field, this book uses matrices over the field F(z) of rational functions in multi-parameters describing coefficient matrices of s
Slime mould Physarum polycephalum is a monstrous single cell well known for its task-solving abilities — solves computational geometry and logical problems, navigates robots and generates music.The sl
Quantum computing — the application of quantum mechanics to information — represents a fundamental break from classical information and promises to dramatically increase a computer's power. Many diffi
