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Автор: Bunt, Gary R., Название: Hashtag Islam : ISBN: 1469643162 ISBN-13(EAN): 9781469643168 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 3511.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gary R. Bunt is a twenty-year pioneer in the study of cyber-Islamic environments (CIEs). In this new book, he explores the diverse and surprising ways digital technology is shaping how Muslims across vast territories relate to religious authorities in fulfilling spiritual, mystical, and legalistic agendas. From social networks to websites, essential elements of religious practices and authority now have representation online. Muslims, embracing the immediacy and general accessibility of the internet, are increasingly turning to cyberspace for advice and answers to important religious questions. Online environments often challenge traditional models of authority, however. One result is the rise of digitally literate religious scholars and authorities whose influence and impact go beyond traditional boundaries of imams, mullahs, and shaikhs.
Bunt shows how online rhetoric and social media are being used to articulate religious faith by many different kinds of Muslim organizations and individuals, from Muslim comedians and women's rights advocates to jihad-oriented groups, such as the ""Islamic State"" and al-Qaeda, which now clearly rely on strategic digital media policies to augment and justify their authority and draw recruits. This book makes clear that understanding CIEs is crucial for the holistic interpretation of authority in contemporary Islam.
Автор: Neustein Amy Название: Text Mining of Web-Based Medical Content ISBN: 1614515417 ISBN-13(EAN): 9781614515418 Издательство: Walter de Gruyter Цена: 12078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: •Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature.•Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing.•Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include:•Mining Biomedical Literature and Clinical Narratives •Medication Information Extraction •Machine Learning Techniques for Mining Medical Search Queries •Detecting the Level of Personal Health Information Revealed in Social Media •Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter •Health Dialogue Systems for Improving Access to Online Content •Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired •Semantic-based Visual Information Retrieval for Mining Radiographic Image Data •Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions
Описание: Es wird eine Methode zur Bestimmung von quantitativ klassifizierenden kulturellen Variablen der Mensch-Maschine-Interaktion (MMI) prasentiert und in einem Werkzeug fur die interkulturelle Interaktionsanalyse umgesetzt.
Автор: Dinero Steven C. Название: Virtual Tribe: Indigenous Identity in Social Media ISBN: 1476674701 ISBN-13(EAN): 9781476674704 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 5405.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores how tribal and indigenous peoples across the globe are using social media in fresh and inventive ways unique to their values and lifestyles. These platforms help tribal peoples to communicate across boundaries and barriers as never before, and are helping to strengthen communal identity and development in the global age.
Автор: Nagarajan G., Minu R. I. Название: Edge Computing and Computational Intelligence Paradigms for the IoT ISBN: 1522585559 ISBN-13(EAN): 9781522585558 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35739.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. The Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.
Автор: Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy Название: Deep Learning: Research and Applications ISBN: 3110670798 ISBN-13(EAN): 9783110670790 Издательство: Walter de Gruyter Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will focus on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it would provide an insight of deep neural networks in action with illustrative coding examples. Moreover, the book will also provide video demonstrations on each chapter. Deep learning is a new area of machine learning research, which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non immediately related fields, for example between air pressure recordings and english words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g., classification) and/or unsupervised (e.g., pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. The unique features of this book include: • tutorials on deep learning framework with focus on tensor flow, keras etc. • video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. • a score of worked out examples on real life applications. • illustrative diagrams • coding examples
Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti Название: Quantum Machine Learning ISBN: 311067064X ISBN-13(EAN): 9783110670646 Издательство: Walter de Gruyter Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples
Автор: Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, John Hansen Название: Vehicles, Drivers, and Safety ISBN: 3110666472 ISBN-13(EAN): 9783110666472 Издательство: Walter de Gruyter Цена: 26024.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents works from world-class experts from academia, industry, and national agencies representing countries from across the world focused on automotive fields for in-vehicle signal processing and safety. These include cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces. Vehicle Systems, Driver Modeling and Safety is appropriate for researchers, engineers, and professionals working in signal processing for vehicle systems, next generation system design from driver-assisted through fully autonomous vehicles.
Автор: Binxing Fang, Yan Jia Название: Structure and Evolution ISBN: 3110596067 ISBN-13(EAN): 9783110596069 Издательство: Walter de Gruyter Рейтинг: Цена: 16169.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the structure characteristics, the modeling, and the evolution mechanism of social network analysis. Techniques and approaches for virtual community detection are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.
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