As the Big Data explosion continues at an almost incomprehensible rate, being able to understand and process it becomes even more challenging. With Building Machine Learning Systems with Python, you'll learn everything you need to tackle the modern data deluge - by harnessing the unique capabilities of Python and its extensive range of...
THE Must-have introduction to image processing for both students and practitioners.
This comprehensive and state-of-the art approach to image processing gives engineers and students a comprehensive introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and...
In a dynamic computing environment, such as the Grid, resource management plays a crucial role for making distributed resources available on-demand to anyone from anywhere at any time without undermining the resource autonomy; this becomes an art when dealing with heterogeneous resources distributed under multiple trust domains spanning across...
Our increasing societal demand for mobility now challenges researchers to devise more efficient traffic and transportation systems.
The Handbook of Research on Multi-Agent Systems for Traffic and Transportation Engineering provides a unique compendium of research covering topics such as transportation system designs, control...
One of the most important tasks in finance is to find good mathematical models for financial products, in particular derivatives. However, the more realistic the model, the more practitioners face still-unsolved problems in rigorous mathematics and econometrics, in addition to serious numerical difficulties. The idea behind this book is to...
This book is the latest contribution to the LNEE series, and it consists of selected
papers presented at the Forum on Specifications and Design Languages (FDL) 2012,
which took place in September 2012 at Vienna University of Technology, Vienna,
Austria.
FDL is a well-established international forum devoted to...
This book has been a long time in the making. The origins of the ideas in this book lie in 1990 when I attended a NATO-funded Advanced Study Institute in Las Navas del Marqués in Spain on ‘Cognitive and Linguistic Aspects of Geographic Space’, organised by Andrew Frank and David Mark. After a long gestation, I started to write...
This volume presents recent advances in computational fluid dynamics. The topics range from fundamentals and computational techniques to a wide variety of applications in astronomy, applied mathematics and meteorology. They describe recent calculations in direct numerical simulation of turbulence, applications of turbulence modelling of...
This volume of essays on neural networks and psychopathology is aimed
at an unusually diverse audience. On the one hand, we hope that the
volume will be read by psychiatrists, psychologists, and other clinicians
and researchers interested in psychopathology and its treatment. On the
other hand, we hope that it will be read by...
While the traditional procedure of making trial mixes is now unnecessary, expensive and time consuming, the data generated can be incorporated into the development of computer-based systems and combined with knowledge from research and practice. The author has developed systems by which a small amount of materials data can be used to predict the...
Computational Fluid Dynamics in Practice explores the current and future developments in CFD, with the authors detailing advanced applications and case studies to demonstrate successes, illustrate the limitations, and identify methods for good practice. Designers, engineers, and researchers working in this field of fluid mechanics will...
