Cost optimal and nearly zero energy performance levels are principles initiated by the European Union’s (EU) Energy Performance of Buildings Directive which was recast in 2010. These will be major drivers in the construction sector in the next few years, because all new buildings in the EU from 2021 onwards are expected to be nearly...

The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower...

If you need to interact with databases, XML, in-memory collections, or remote services, LINQ can make your life simpler. The best way to discover LINQ is with the help of LINQPad, a free IDE whose first goal is to make sure that writing and interacting with your LINQ query is fun and easy. More generally, LINQPad is a C#/VB/F# scratchpad that...

Haskell Financial Data Modeling and Predictive Analytics is a hands-on guide that...

Scratch Cookbook will lead you through easy-to-follow recipes that give you everything you need to become a...

The OMAP-L138 eXperimenter is the latest inexpensive DSP development system to be adopted by the Texas Instruments University Program. The OMAP-L138 processor contains both ARM and DSP cores and is aimed at portable and mobile multimedia applications. This book...

Raspberry Pi represents a new generation of computers that encourages the user to play and to learn and this unique book is aimed at the beginner Raspberry Pi user who is eager to get started creating real-world projects. Taking you on a journey of...

• Helps you to use Shiny's built in functions to produce engaging and useful user interfaces in hours, not days
• Enables you to extend Shiny using...

Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range...