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Probabilistic data structures for blockchain-based internet of things applications, Neeraj Kumar, Arzoo Miglani


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Автор: Neeraj Kumar, Arzoo Miglani
Название:  Probabilistic data structures for blockchain-based internet of things applications
Перевод названия: Нирадж Кумар, Арзу Миглани: Вероятностные структуры данных для приложений интернета вещей на основе
ISBN: 9780367529901
Издательство: Taylor&Francis
Классификация:




ISBN-10: 0367529904
Обложка/Формат: Hardcover
Страницы: 306
Вес: 0.76 кг.
Дата издания: 21.12.2020
Язык: English
Иллюстрации: 17 tables, black and white; 103 illustrations, black and white
Размер: 23.62 x 16.00 x 2.29 cm
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: This book covers theory and practical knowledge of probabilistic data structures (PDS) and blockchain (BC) concepts. It introduces the applicability of PDS in BC and each PDS has been explained through code snippets and illustrative examples. Further, it covers applications of PDS to BC along with implementation codes in Python.

Hands-On Data Structures and Algorithms with Python 2 ed

Автор: Agarwal, Dr Basant, Baka, Benjamin
Название: Hands-On Data Structures and Algorithms with Python 2 ed
ISBN: 1788995570 ISBN-13(EAN): 9781788995573
Издательство: Неизвестно
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Цена: 53940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.

Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0

Автор: Dac–Nhuong Le, Chung Van Le, Jolanda G. Tromp, Gia
Название: Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0
ISBN: 1119509815 ISBN-13(EAN): 9781119509813
Издательство: Wiley
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Цена: 193190.00 T
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Описание:

Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.

This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.

The groundbreaking book presents state-of-the-art chapters on many subjects including:

  • A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
  • A review of current augmenting dental care
  • An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
  • A review of telemedicine technologies
  • Building empathy in young children using augmented reality
  • AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
  • Mobile doctor brain AI App
  • An artificial intelligence mobile cloud computing tool
  • Development of a robotic teaching aid for disabled children
  • Training system design of lower limb rehabilitation robot based on virtual reality

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Probabilistic Data Structures and Algorithms for Big Data Applications

Автор: Gakhov Andrii
Название: Probabilistic Data Structures and Algorithms for Big Data Applications
ISBN: 3748190484 ISBN-13(EAN): 9783748190486
Издательство: Неизвестно
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Цена: 59200.00 T
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Описание: A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. The purpose of this book is to introduce technology practitioners, including software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.

Data security in internet of things based rfid and wsn systems applications

Название: Data security in internet of things based rfid and wsn systems applications
ISBN: 0367260433 ISBN-13(EAN): 9780367260439
Издательство: Taylor&Francis
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Цена: 158230.00 T
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Описание: This book will focus on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It will include contributions that discuss the security and privacy issues as well as the opportunities and applications that are tightly linked to sensitive infrastructures and strategic services.

Collaborative Recommendations: Algorithms, Practical Challenges and Applications

Автор: Berkovsky Shlomo, Cantador Ivan, Tikk Domonkos
Название: Collaborative Recommendations: Algorithms, Practical Challenges and Applications
ISBN: 9813275340 ISBN-13(EAN): 9789813275348
Издательство: World Scientific Publishing
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Цена: 258720.00 T
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Описание:

Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.

The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.

This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.


Handbook of Finite State Based Models and Applications

Название: Handbook of Finite State Based Models and Applications
ISBN: 1138199354 ISBN-13(EAN): 9781138199354
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание:

Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and Applications provides a complete collection of introductory materials on finite state theories, algorithms, and the latest domain applications. For beginners, the book is a handy reference for quickly looking up model details. For more experienced researchers, it is suitable as a source of in-depth study in this area.

The book first introduces the fundamentals of automata theory, including regular expressions, as well as widely used automata, such as transducers, tree automata, quantum automata, and timed automata. It then presents algorithms for the minimization and incremental construction of finite automata and describes Esterel, an automata-based synchronous programming language for embedded system software development.

Moving on to applications, the book explores regular path queries on graph-structured data, timed automata in model checking security protocols, pattern matching, compiler design, and XML processing. It also covers other finite state-based modeling approaches and applications, including Petri nets, statecharts, temporal logic, and UML state machine diagrams.


Internet of Things and Big Data Applications: Recent Advances and Challenges

Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra
Название: Internet of Things and Big Data Applications: Recent Advances and Challenges
ISBN: 3030391183 ISBN-13(EAN): 9783030391188
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book provides essential future directions for IoT and Big Data research. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail.

Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

Автор: Dombi Jуzsef, Jуnбs Tamбs
Название: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications
ISBN: 3030519481 ISBN-13(EAN): 9783030519483
Издательство: Springer
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Цена: 93160.00 T
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Описание: It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique.

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy Etc. Methods and Their Applications

Автор: Kosheleva Olga, Shary Sergey P., Xiang Gang
Название: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy Etc. Methods and Their Applications
ISBN: 303031040X ISBN-13(EAN): 9783030310400
Издательство: Springer
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Цена: 149060.00 T
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Описание: Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Secure and Smart Internet of Things (Iot): Using Blockchain and AI

Автор: Banafa Ahmed
Название: Secure and Smart Internet of Things (Iot): Using Blockchain and AI
ISBN: 8770220301 ISBN-13(EAN): 9788770220309
Издательство: Taylor&Francis
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Цена: 88800.00 T
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Описание: By 2020, experts forecast that up to 28 billion devices will be connected to the Internet, with only one third of them being computers, smartphones, smartwatches, and tablets. The remaining two thirds will be other “devices” – sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other “things”, which traditionally have not been Internet enabled.This “Internet of Things” (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution mobile devices connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined. In a nutshell the Internet of Things (IoT) is the convergence of connecting people, things, data and processes; it is transforming our life, business and everything in between. Secure and Smart IoT explores many aspects of the Internet of Things and explains many of the complicated principles of IoT and the new advancements in IoT including using Fog Computing, AI and Blockchain technology.

Sensor Analysis for the Internet of Things

Автор: Michael Stanley, Jongmin Lee
Название: Sensor Analysis for the Internet of Things
ISBN: 1681732890 ISBN-13(EAN): 9781681732893
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.


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