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Model Driven Engineering for Distributed Real-Time Embedded Systems 2009: Advances, Standards, Applications and Perspectives

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Model-based development methods, and supporting technologies, can provide the techniques and tools needed to address the dilemma between reducing system development costs and time, and developing increasingly complex systems. This book provides the information needed to understand and apply model-drive engineering (MDE) and model-drive architecture (MDA) approaches to the development of embedded systems. Chapters, written by experts from academia and industry, cover topics relating to MDE practices and methods, as well as emerging MDE technologies. Much of the writing is based on the presentations given at the Summer School “MDE for Embedded Systems” held at Brest, France, in September 2004.

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Schaum's Outline of French Grammar, 5ed (Schaum's Outline Series)
Schaum's Outline of French Grammar, 5ed (Schaum's Outline Series)
Like the previous editions, the fifth edition of this review book has been designed and developed in order to facilitate the study of French grammar. The book is divided into nine chapters. Each one concentrates on the basic problem areas of the language: nouns and articles; adjectives and adverbs; prepositions; numbers, dates, and...
Handbook of Language and Social Interaction (LEA's Communication Series)
Handbook of Language and Social Interaction (LEA's Communication Series)
Language and Social Interaction is an interdisciplinary approach to studying the everyday
practices and details that make up the complexities and multifunctionality of human
communication. This area has reached a level of maturity that calls for a handbook specific
to its concerns. That maturity is noticeable in a distinctive body of
...
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow

Key Features

  • Weave neural networks into linguistic applications across various platforms
  • Perform NLP tasks and train its models using NLTK and TensorFlow
  • Boost your NLP...

A Tale of Two Systems: Lean and Agile Software Development for Business Leaders
A Tale of Two Systems: Lean and Agile Software Development for Business Leaders

This business parable reviews two different systems development projects. One project was an abject, expensive failure, while the other succeeded in creating a major new revenue stream, bringing in new customers. By reviewing the tales of these two systems, readers will develop a better understanding of what works and what doesn't when it comes...

Strabismus Surgery and its Complications
Strabismus Surgery and its Complications
Strabismus Surgery and its Complications is divided into two distinct sections. Part I outlines the surgical management of strabismus in 17 chapters. A full range of topics is covered including basic anatomy and physiology, surgical planning, preoperative and postoperative management, and surgical techniques. Surgical...
Mastering Probabilistic Graphical Models using Python
Mastering Probabilistic Graphical Models using Python

Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

About This Book

  • Gain in-depth knowledge of Probabilistic Graphical Models
  • Model time-series problems using Dynamic Bayesian Networks
  • A practical guide to...
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