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Название: Applications of Computer Science and Technology in Different Fields
Автор: Adele Kuzmiakova
Издательство: Arcler Press
Год: 2021
Страниц: 298
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

This book discusses common myths and misunderstandings about Computer Science (CS). It is committed to solving these problems and trying to eliminate misconceptions in order to provide potential computer science pupils and the overall public a more realistic outlook of the field. It provides a perspective of different fields where computer science is applicable, such as the medical field, business, linguistics, robotics, agriculture, sports, and the environment. The book mentions that computer science (CS) is at the crossroads of most modern occupations. It discusses the development of human-computer interaction that has been going on for years, reshaping the way people do things today.

Название: Digital Circuit Simulation Using Excel
Автор: Anthony Mazzurco
Издательство: Gatekeeper Press
Год: 2020
Формат: True ePUB
Страниц: 238
Размер: 18 Mb
Язык: English

This book develops techniques for simulating digital logic circuits in Microsoft’s Excel that provide a useful tool to both the student and the practicing engineer. It introduces the subject by showing how logic devices, taken from the standard 7400 family, can be modeled and stored in a library. These functions can then be combined by the user as building blocks to design more complex circuits, both combinatorial and sequential. The simulations not only allow the designs to be verified to ensure they provide expected outputs and states, but can also perform detailed timing analysis. Worst case timing conditions can be imposed to stress the circuits so that the resultant behavior can be observed. Methods showing how the user can add additional devices to the simulation library are also covered.

Название: The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem
Автор: Edward Curry, Andreas Metzger
Издательство: Springer
Год: 2021
Страниц: 411
Язык: английский
Формат: pdf (true), epub
Размер: 56.2 MB

This book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for Big Data.

Название: Knowledge Management in the Development of Data-Intensive Systems
Автор: Ivan Mistrik, Matthias Galster, Bruce R. Maxim, Bedir Tekinerdogan
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 341
Размер: 10 Mb
Язык: English

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge.

Название: Data Science and Big Data Analytics in Smart Environments
Автор: Marta Chinnici, Florin Pop, C. Negru
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 305
Размер: 10 Mb
Язык: English

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment.

Название: Data Science and Its Applications
Автор: Aakanksha Sharaff, G. R. Sinha
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 379
Размер: 40,5 Mb
Язык: English

The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others.

Название: Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science
Автор: Yaochu Jin, Handing Wang, Chaoli Sun
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 408
Размер: 13,5 Mb
Язык: English

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available.

Название: From Big Data to Intelligent dаta: An Applied Perspective
Автор: Fady A. Harfoush
Издательство: Springer
Год: 2021
Страниц: 121
Язык: английский
Формат: pdf (true), epub
Размер: 41.0 MB

Uses simple language and methods to explain complex ideas. This book addresses many of the gaps in how industry and academia are currently tackling problems associated with Big Data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so.

Название: Linux for Biologists: A Cookbook
Автор: Vimalkumar Velayudhan
Издательство: Leanpub
Год: June 9, 2021
Страниц: 321
Язык: английский
Формат: pdf (true), epub
Размер: 29.7 MB

If you are a student or a researcher in biological sciences and are new to Linux, this book will help you get started quickly. The primary focus is in using graphical user interfaces (GUI) to accomplish tasks, but methods using the command line interface are also discussed.

Название: Data Science Techniques for Cryptocurrency Blockchains
Автор: Innar Liiv
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 117
Размер: 10 Mb
Язык: English

This book brings together two major trends: data science and blockchains. It is one of the first books to systematically cover the analytics aspects of blockchains, with the goal of linking traditional data mining research communities with novel data sources. Data science and big data technologies can be considered cornerstones of the data-driven digital transformation of organizations and society.
The concept of blockchain is predicted to enable and spark transformation on par with that associated with the invention of the Internet. Cryptocurrencies are the first successful use case of highly distributed blockchains, like the world wide web was to the Internet.