Computer Science

by Michael Voss, Rafael  Asenjo, James Reinders

This book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present ...

by Leon Strous, Vinton Cerf

First IFIP International Cross-Domain Conference, IFIPIoT 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18-19, 2018, Revised Selected Papers...

by Albert Fleischmann, Werner Schmidt, Christian Stary

This is the first book to present field studies on the application of subject-oriented business process management (S-BPM). Each case presents a specific story and focuses on an essential modeling or implementation issue, and most end with implications or suggestions for further studies. Significant variables and success factors are identified that...

by Sunil Cheruvu, Anil Kumar, Ned Smith, David M. Wheeler

Break down the misconceptions of the Internet of Things by examining the different security building blocks available in Intel Architecture (IA) based IoT platforms. This book reviews the threat pyramid, secure boot, chain of trust, and the SW stack leading up to defense-in-depth. The IoT presents unique challenges in implementing security and Inte...

by Hercules Dalianis

This book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial ch...

by Mariette Awad, Rahul Khanna

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, cla...

by Hans Petter Langtangen, Anders Logg

This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier - Stokes equations, and systems of nonlinear advection - diffusion - reaction equations, it...

by Jay McGavren

Unannounced and unmarked, blocks turn up all over Ruby programs. Their use ranges from some of Ruby's most basic structures, such as loops, to some of its most sophisticated tricks. Similar to closures or lambdas in other languages, blocks enable some of Ruby's vaunted efficiency. Blocks even allow other people to write some of the code y...

by Q Ethan McCallum, Ken Gleason

You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities ...

by Andrew Odewahn

When you explore a new technology landscape, the journey can take you to places you never expected. Take O'Reilly's CTO, Andrew Odewahn. While working on ideas for a new publishing platform, Andrew kept notes as he probed the depth and breadth of what we call the "distributed development stack" (DDS). As patterns emerged, and...