Böcker av Department of Computer Science

Everyone uses computers today. But what do you really know about them? Using the voices of pioneers and leading experts, Peter J. Bentley tells the story of computer science; explaining how and why computers were invented, how they work, looking at real-world examples of computers in use, and considering what will happen in the future.

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.

Games Data Science delivers an excellent introduction to this new domain and provides the definitive guide to methods and practices of computer science, analytics, and data science as applied to video games.

Part of a series that covers developments in computer technology. This volume emphasizes the role of the internet, the world wide web and other aspects of a distributed computing environment. It also covers open source development as well as computing for the handicapped.

Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision.

Offers professional engineers, scientists, and students with a framework for the rigorous conduct and communication of complex research and development projects. This book emphasizes the comprehensive analysis of project problems, requirements, and objectives; and the use of standard and consistent terminology and procedures.