Название: Fault-Tolerant Distributed Consensus in Synchronous Networks
Автор: Ashish Choudhury, Arpita Patra
Издательство: Springer
Серия: Information Security and Cryptography
Год: 2025
Страниц: 319
Язык: английский
Формат: pdf
Размер: 10.1 MB

Fault-tolerant distributed consensus is a fundamental concept, both in cryptography as well as distributed computing. Ever since the inception of the problem by Lamport et al in 1982, the problem has been widely studied, both in cryptography as well as distributed computing community and several fundamental results have been obtained regarding the possibility, feasibility and optimality of the consensus protocols in various network models and adversarial settings. The problem has generated revived interest from several other communities over the last few years, after the advent of Blockchain protocols. Traditionally, the consensus protocols are studied either in the synchronous or in the asynchronous communication setting and very often the protocols in the former category serve as the basis for the protocols in the latter category. The focus of this book will be on the synchronous communication setting. The book presents all the seminal possibility and feasibility results in this model ever since the inception of the consensus problem, with formal security proofs.

Название: Rust Essentials for New Developers: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 327
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book provides a technically rigorous introduction to Rust programming, designed specifically for developers who are new to the language. It emphasizes clarity and precision, guiding readers through foundational concepts such as variable binding, data types, and control flow with well-structured examples and detailed explanations. The content is meticulously organized to build upon each concept methodically, allowing readers to progress from basic constructs to more advanced techniques such as memory management, ownership, and error handling. Each chapter is crafted to present comprehensive material without unnecessary embellishments, ensuring that the learning experience remains focused and efficient. By integrating practical examples and a systematic progression, this guide serves both as an entry point for beginners and a concise reference for experienced developers seeking to refine their understanding of Rust.

Название: Практикум по анализу данных на языках Python и R
Автор: О. А. Баюк, М. Р. Исаева, М. О. Cамсонкин
Издательство: Прометей
Год: 2023
Формат: pdf
Страниц: 101
Размер: 58,08 Мб
Язык: русский

В пособии отражены темы: выборочный метод, точечные и интервальные оценки, проверка статистических гипотез, корреляционный анализ, дисперсионный анализ и анализ временных рядов. Пособие может быть использовано как для проведения семинарских занятий, так и для организации самостоятельной работы студентов.

Название: Demystifying Emerging Trends in Machine Learning (Volume 2)
Автор: Pankaj Kumar Mishra, Satya Prakash Yadav
Издательство: Bentham Books
Год: 2025
Страниц: 615
Язык: английский
Формат: pdf (true), epub
Размер: 37.4 MB

Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of Machine Learning (ML). This edited volume showcases several Machine Learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity, E-commerce, sentiment analysis, public health and web content analysis. The 49 chapters highlight a wide variety of Machine Learning methods including SVNs, K-Means Clustering, CNNs, DCNNs, among others. Each chapter includes accessible information through summaries, discussions and reference lists. This comprehensive volume is essential for students, researchers, and professionals eager to understand the emerging trends reshaping Machine Learning today.

Название: Quantum Computing and Artificial Intelligence: The Industry Use Cases
Автор: Pethuru Raj, B. Sundaravadivazhagan, Mariya Ouaissa, V. Kavitha, K. Shantha Kumari
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 560
Язык: английский
Формат: pdf (true), epub
Размер: 28.3 MB

This book explores the essential role of quantum computing and Artificial Intelligence (AI) in advancing healthcare. This comprehensive guide explores the practical applications and real-world use cases, exploring their transformative potential across various sectors. It covers nanodiagnostic tools known for accuracy, along with advanced imaging techniques. Through real-world examples, it offers valuable insights on nanomaterials to improve medical solutions. This book is divided into three sections. The first section examines the fundamentals of quantum computing and its practical applications. The second section explores how quantum computing offers a myriad of opportunities to various industries, transitions between classical and quantum networks, and post-quantum cryptography. The third section further explores the exciting potential of Quantum Machine Learning for Industry 4.0, as well as the applications of quantum computing and AI applications in the emerging Industry 5.0 landscape.

Название: Моделирование и анализ в среде R с использованием пакета Shiny
Автор: Павел Борисович Лукьянов
Издательство: Прометей
Год: 2023
Формат: pdf
Страниц: 103
Размер: 51,14 Мб
Язык: русский

Пособие предназначено для освоения компьютерных технологий в части разработки программ по анализу и моделированию прикладных экономических задач на языке R (базовый функционал языка R) с использованием интерактивных визуальных инструментов управления параметрами задачи (функционал пакета Shiny). Последовательно рассматриваются этапы создания программ для анализа данных и их моделирования в формате клиент-серверных приложений.

Название: Beginning Spring AI: A Quick Guide to AI Engineering in Spring
Автор: Andrew Lombardi, Joseph Ottinger
Издательство: Apress
Год: 2025
Страниц: 184
Язык: английский
Формат: pdf (true), epub (true), azw3, mobi
Размер: 10.1 MB

Discover how to use Large Language Models in the Spring Framework. This quick guide equips developers with insights into the strengths and limitations of Spring AI and how to leverage the model for typical use cases. First, you will orient yourself to the new and exciting landscape of AI and Spring integration. You will learn how to issue simple queries, asking the right questions to get the results you want. From there, you will be empowered to select the right model for functionality and refinement, building a simple yet effective chat bot using real-world examples. Additionally, the book explores how to generate images, refine them, and how to send source images when appropriate. Lastly, the book focuses on how Spring AI and LLMs affect the developer landscape, including pitfalls and ethical concerns. Designed for fast adoption, this book provides targeted guidance on integrating AI and LLMs into your projects within days. Through a pragmatic approach, it emphasizes direct utilization of the API. For Spring developers who are new to AI and focused on the essentials without exhaustive framework details.

Название: Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting
Автор: Banglore Vijay Kumar Vishwas, Sri Ram Macharla
Издательство: Apress
Год: 2025
Страниц: 226
Язык: английский
Формат: pdf
Размер: 12.6 MB

"Time Series Forecasting Using Generative AI introduces readers to Generative Artificial Intelligence (Gen AI) in time series analysis, offering an essential exploration of cutting-edge forecasting methodologies." The book covers a wide range of topics, starting with an overview of Generative AI, where readers gain insights into the history and fundamentals of Gen AI with a brief introduction to large language models. The subsequent chapter explains practical applications, guiding readers through the implementation of diverse neural network architectures for time series analysis such as Multi-Layer Perceptrons (MLP), WaveNet, Temporal Convolutional Network (TCN), Bidirectional Temporal Convolutional Network (BiTCN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Deep AutoRegressive(DeepAR), and Neural Basis Expansion Analysis(NBEATS) using modern tools. We were looking for a resource that would equip us with the theoretical understanding of the models and practical implementation with Python sample code.

Название: The AI Revolution: How Technological Developments Affect the Audiovisual Sector
Автор: Antonio Baraybar-Fernández, Sandro Arrufat-Martín, Belén Díaz Díaz
Издательство: Springer
Год: 2025
Страниц: 111
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

This book presents an overview of the vast landscape of Artificial Intelligence (AI) in the media industry, more specifically in the audiovisual sector. Readers are guided through the fundamental pillars of AI, from Machine Learning algorithms to advanced neural networks, revealing the technological foundations that drive innovation in the field of communication and media. The possibilities of AI in this area are explored and discussed with real case studies. The book highlights not only the technological developments, but also the ethical dilemmas that arise. From privacy issues to equity in access to education, the book provides a comprehensive view of the challenges that must be addressed to ensure the ethical and sustainable development of Artificial Intelligence.

Название: Blue Fox: взлом и реверс-инжиниринг ARM
Автор: Мария Маркстедтер
Издательство: Питер
Год: 2025
Формат: pdf
Страниц: 448
Размер: 52,5 Мб
Язык: русский

Пора разобраться с тем, что такое реверс-инжиниринг! Процессоры Arm используются в миллиардах устройств по всему миру — от смартфонов и планшетов до автомобильных систем и умных гаджетов. Реверс-инжиниринг — это процесс анализа чужого программного обеспечения или аппаратного устройства, позволяющий быстро разобраться в принципах работы. Без него сейчас не обойтись, именно этот навык позволяет разработчикам, инженерам и специалистам по инфобезу изучать новые технологии, выявлять уязвимости и создавать более безопасные и эффективные системы.