Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural...

Updated annually, the Information Security Management Handbook, Sixth Edition, Volume 7 is the most comprehensive and up-to-date reference available on information security and assurance. Bringing together the knowledge, skills, techniques, and tools required of IT security professionals, it facilitates the up-to-date understanding...

In order for a business to thrive in today’s dynamic world, its computing infrastructure must enable the secure flow of information—not only within the business but also with suppliers and customers. However, many of today’s computing infrastructures suffer from “information chaos” and are unable to support this...

Vision plays a fundamental role for living beings by allowing them to interact with the environment in an effective and efficient way. The Machine Vision goal is to endow computing devices, and more generally artificial systems, with visual capabilities in order to cope with not a priori predetermined situations. To this end, we have to take...

Mathematics is beautiful--and it can be fun and exciting as well as practical. Good Math is your guide to some of the most intriguing topics from two thousand years of mathematics: from Egyptian fractions to Turing machines; from the real meaning of numbers to proof trees, group symmetry, and mechanical computation. If you've ever...

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices...