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  • Book


  • Authors: Tony Gaddis (2017)

  • His books help beginning students understand the important details necessary to become skilled programmers at an introductory level. Gaddis motivates the study of both programming skills and the C++ programming language by presenting all the details needed to understand the "how" and the "why"-but never losing sight of the fact that most beginners struggle with this material.

  • Book


  • Authors: Michael Beyeler (2017)

  • This book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks.

  • Book


  • Authors: Pearson, Ivan (2017)

  • This book takes a practical approach to developing, implementing and evaluating practice based on 'evidence' in its broadest sense. It does this by describing the complexities of evidence-based practice without over-simplifying the issues and processes involved. Where necessary for a comprehensive wlderstanding of the principles of evidence-based practice, the theoretical underpinnings are explained and explored. A number of devices are incorporated in the book for this purpose. For example, scenarios from practice are included to give the reader an opportunity to apply the principks and strategies exanuned in the book. As an adjunct to this process, a toolbox approach is incorporated in the various chapters to aid in the identificatiOll of the right tool for the particular task.

  • Sách/Book


  • Authors: Jordi Mongay Batalla (2017)

  • The major subjects of the book cover modeling, analysis and efficient management of information in Internet of Everything (IoE) applications and architectures. As the first book of its kind, it addresses the major new technological developments in the field and will reflect current research trends, as well as industry needs. It comprises of a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports and best practices in utilizing IoE applications. It also provides technical/scientific information about various aspects of IoE technologies, ranging from basic concepts to research grade material, including future directions.

  • Sách/Book


  • Authors: Dharma Prakash Agrawal (2017)

  • The book discusses the need for synchronization and underlying limitations, the interrelation between given coverage and connectivity to the number of sensors needed, and the use of geometrical distance to determine the location of the base station for data collection, while also exploring the use of anchor nodes to determine the relative positions of sensors

  • Book


  • Authors: Steven S. Skiena (2017)

  • The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an "Introduction to Data Science" course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well.

  • Sách/Book


  • Authors: Sharon Oviatt (2017)

  • Volume 1 of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling, interface design that supports user choice, synergistic combination of modalities with sensors, and blending of multimodal input and output. They also highlight an in-depth look at the most common multimodal-multisensor combinations- for example, touch and pen input, haptic and non-speech audio output, and speech co-processed with visible lip movements, gaze, gestures, or pen input. A common theme throughout is support for mobility and individual differences among users-including the world's rapidly growing population of seniors.

  • Sách/Book


  • Authors: Shun, Julian (2017)

  • The book starts by introducing tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The book then introduces Ligra, the first high-level shared-memory framework for parallel graph traversal algorithms. The framework enables short and concise implementations that deliver performance competitive with that of highly optimized code and up to orders of magnitude faster than previous systems designed for distributed memory. Finally, the book bridges the gap between theory and practice in parallel algorithm design...

  • Sách/Book


  • Authors: Larsen, Per (2017)

  • The main purpose of this book is to provide readers with some of the most influential works on run-time exploits and defenses. We hope that the material in this book will inspire readers and generate new ideas and paradigms.