Описание: Blending theory with practice, this book brings together a variety of next-generation data technologies used to capture, integrate, analyze, mine, annotate and visualize distributed data in a manner that is meaningful and collaborative for the organization.
Автор: Noor Shaker; Julian Togelius; Mark J. Nelson Название: Procedural Content Generation in Games ISBN: 3319427148 ISBN-13(EAN): 9783319427140 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon generation. The authors are active academic researchers and game developers, and the book is appropriate for undergraduate and graduate students of courses on games and creativity; game developers who want to learn new methods for content generation; and researchers in related areas of artificial intelligence and computational intelligence.
Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra Название: Modeling and Processing for Next-Generation Big-Data Technologies ISBN: 331909176X ISBN-13(EAN): 9783319091761 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.
Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people's imaginations as to what a fully connected world can offer.
Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.
The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Автор: Jian Zhang; Zhiqiang Zhang; Feifei Ma Название: Automatic Generation of Combinatorial Test Data ISBN: 3662434288 ISBN-13(EAN): 9783662434284 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation.
Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra Название: Modeling and Processing for Next-Generation Big-Data Technologies ISBN: 3319385003 ISBN-13(EAN): 9783319385006 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.
Автор: W. Schr?der; Christophe Brun; Daniel Juv?; Michael Название: Numerical Simulation of Turbulent Flows and Noise Generation ISBN: 3642100678 ISBN-13(EAN): 9783642100673 Издательство: Springer Рейтинг: Цена: 33401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Large Eddy Simulation is a high-fidelity approach to the numerical simulation of turbulent flows. This book, based on recent research in LES simulations, provides insights into modern prediction approaches for turbulent flows and noise generation mechanisms.
Описание: The term "Artificial Intelligence" has been used since 1956 and has become a very popular research field. This volume provides up-to-date and state-of-the-art research on the applications of artificial Intelligence techniques.
Описание: The term "Artificial Intelligence" has been used since 1956 and has become a very popular research field. This volume provides up-to-date and state-of-the-art research on the applications of artificial Intelligence techniques.
Описание: Automatic course generation is a very important area of research with numerous practical applications in e-learning. It has been studied since the 1980s in the fields of intelligent tutoring, AI and education, adaptive hypermedia and web-based educational systems. This book focuses on course generation based on Hierarchical Task Network planning.
Описание: Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.
Автор: Mourad Elloumi Название: Algorithms for Next-Generation Sequencing Data ISBN: 3319598244 ISBN-13(EAN): 9783319598246 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage;
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