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Название: Generalization with Deep Learning: For Improvement on Sensing Capability Автор: Zhenghua Chen, Min Wu, Xiaoli Li Издательство: World Scientific Publishing Company Год: 2021 Формат: true pdf, epub Страниц: 324 Размер: 10 Mb, 16.5 Mb Язык: English
Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. |
Разместил: bomboane 6-06-2021, 12:02 | Комментарии: 0 | Подробнее
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Название: Applied User Data Collection and Analysis Using javascript and PHP Автор: Kyle Goslin, Markus Hofmann Издательство: CRC Press Год: 2021 Формат: True PDF Страниц: 346 Размер: 10 Mb Язык: English
Applied User Data Collection and Analysis Using javascript and PHP is designed to provide the technical skills and competency to gather a wide range of user data from web applications in both active and passive methods. This is done by providing the reader with real-world examples of how a variety of different javascript- and PHP-based libraries can be used to gather data using custom feedback forms and embedded data gathering tools.
Once data has been gathered, this book explores the process of working with numerical data, text analysis, visualization approaches, statistics, and rolling out developed applications to both data analysts and users alike. |
Разместил: vitvikvas 6-06-2021, 11:00 | Комментарии: 0 | Подробнее
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Название: Vision, Sensing and Analytics: Integrative Approaches Автор: Md Atiqur Rahman Ahad, Atsushi Inoue Издательство: Springer Год: 2021 Страниц: 416 Язык: английский Формат: pdf (true), epub Размер: 49.0 MB
This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach - the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach. Computer vision has advanced so far that machines now can think and see as we humans do. Especially Deep Learning (DL) has raised the bar of excellence in computer vision. However, the recent emergence of deep reinforcement learning is threatening to soar even greater heights as it combines deep neural networks with reinforcement learning along with numerous added advantages over both. |
Разместил: Ingvar16 6-06-2021, 10:53 | Комментарии: 0 | Подробнее
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Название: Competitive Programming in Python :128 Algorithms to Develop your Coding Skills Автор: Christoph Durr Издательство: Cambridge University Press Год: 2021 Формат: True PDF Страниц: 266 Размер: 16 Mb Язык: English
Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website. |
Разместил: vitvikvas 6-06-2021, 10:23 | Комментарии: 0 | Подробнее
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Название: Программное обеспечение матричных алгоритмов и метода конечных элементов в инженерных расчетах Автор: Бурман З.И., Артюхин Г.А., Зархин Б.Я. Издательство: Машиностроение Год: 1988 ISBN: 5-217-00011-2 Формат: pdf Страниц: 256 Размер: 11 Мб Язык: русский
Изложена методология создания программного обеспечения для численной реализации на ЭВМ матричных алгоритмов решения разнообразных задач механики и физики и, в частности, матричных алгоритмов метода конечных элементов. Описываются структура и принципы функционирования системы матричного программного обеспечения (СМПО), а также методология создания на ее основе пакетов прикладных программ. Приведены примеры использования СМПО в различных областях техники. Для инженерно-технических работников, занятых прочностными расчетами в различных отраслях промышленности и строительстве.
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Разместил: oksanavalera 5-06-2021, 18:56 | Комментарии: 0 | Подробнее
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Название: C# Features Succinctly Автор: Dirk Strauss Издательство: Syncfusion, Inc Год: 2021 Формат: ePUB, PDF Страниц: 77 Размер: 10 Mb Язык: English
C# Features Succinctly is a concise guide to the significant features packaged in C# 7, 8, and 9. To help readers understand the evolution of the language, author Dirk Strauss first covers the important additions that arrived in version 7, such as tuples, pattern matching, and out variables. Next, he covers more than a dozen features in version 8, from nullable reference types to unmanaged constructed types. Finally, readers get a taste of the latest features in C# 9, and some of the productivity enhancements provided to .NET developers in Visual Studio. |
Разместил: vitvikvas 5-06-2021, 18:07 | Комментарии: 0 | Подробнее
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Название: Artificial Intelligence (AI): Recent Trends and Applications Автор: S. Kanimozhi Suguna, M. Dhivya, Sara Paiva Издательство: CRC Press Серия: Artificial Intelligence (AI): Elementary to Advanced Practices Год: 2021 Страниц: 331 Язык: английский Формат: pdf (true) Размер: 26.6 MB
This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. |
Разместил: Ingvar16 5-06-2021, 15:03 | Комментарии: 0 | Подробнее
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Название: Deep Learning for Biomedical Applications Автор: Utku Kose, Omer Deperlioglu Издательство: CRC Press Год: 2021 Страниц: 365 Язык: английский Формат: pdf (true) Размер: 21.77 MB
This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and?advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis,?image processing perspectives, and even?genomics. It takes the reader through different sides of Deep Learning oriented solutions. |
Разместил: Ingvar16 5-06-2021, 12:10 | Комментарии: 0 | Подробнее
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Название: Blockchain And Smart Contracts: Design Thinking And Programming For Fintech Автор: Swee Won Lo, Yu Wang, David Lee Kuo Chuen Издательство: World Scientific Год: 2021 Страниц: 381 Язык: английский Формат: pdf (true) Размер: 45.9 MB
Innovative as it is, the blockchain technology is getting more and more attention and an increasing number of applications have emerged. This book elaborates on both the design thinking ideas and technical details in blockchain and smart contracts to help readers delve into the conceptual framework and understand why blockchain is designed as such and how it makes the current system decentralised yet effective. Having this understanding lays the ground for further analysis of blockchain-based solutions and innovative fintech applications. Topics covered in this book include blockchain structure, blockchain ecosystem, design thinking for blockchain, smart contract, fintech and financial services, solution-based problem solving, fintech valuation, and current issues faced such as privacy protection and solution selection, with the aid of real-life examples and hands-on exercises. |
Разместил: Ingvar16 5-06-2021, 09:53 | Комментарии: 0 | Подробнее
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Название: Deep Neural Networks for Multimodal Imaging and Biomedical Applications Автор: Annamalai Suresh, R. Udendhran, S. Vimal Издательство: IGI Global Год: 2020 Страниц: 310 Язык: английский Формат: pdf (true) Размер: 11.8 MB
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. |
Разместил: Ingvar16 5-06-2021, 08:49 | Комментарии: 0 | Подробнее
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