|
|
|
|
|
|
|
| |
|
Название: Methods of Developing Sliding Mode Controllers: Design and MATLAB Simulation Автор: Reihaneh Kardehi Moghaddam, Mostafa Rabbani Издательство: Wiley-IEEE Press Год: 2025 Страниц: 244 Язык: английский Формат: pdf (true) Размер: 18.1 MB
Comprehensive, fast-access guide to different types of sliding mode controllers and their programming and simulation in MATLAB and Simulink. Methods of Developing Sliding Mode Control delivers a practical review of sliding mode controllers (SMCs) and their challenges with coverage of related theorems, stability analysis, and how to program and simulate SMCs in MATLAB and Simulink. The book details the latest methods of their development and their applications in the automotive, aerospace, and robotics industries. Initial chapters detail a range of different types of controllers. A combination of sliding and backstepping control is introduced and simulated and the phenomenon of chattering and effective solutions to reduce it are provided, along with suitable examples and analytical tables of the results. The final two chapters are related to fixed-time and event-triggered SMCs. Extensive Matlab/Simulink supported examples and simulation program code/block diagrams are included throughout. |
Разместил: Ingvar16 9-01-2025, 18:42 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Собираем устройства для тестов на проникновение Автор: Бирюков А.А. Издательство: ДМК пресс Год: 2018 Формат: pdf Страниц: 380 Размер: 26 Mb Язык: Русский
Многообразие и доступность различных недорогих аппаратных платформ, таких как Arduino, Raspberry Pi и др., простота их программирования, и при этом практически полное отсутствие средств защиты от них делают хакерские устройства мощным и опасным средством реализации компьютерных атак. В книге рассматриваются как теоретические основы информационной безопасности, так и практические аспекты создания собственных устройств с исходными кодами, схемами и примерами реализации. Также рассматриваются механизмы защиты от данного вида атак. |
Разместил: rivasss 9-01-2025, 17:54 | Комментарии: 1 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and Challenges Автор: Sajid Yousuf Bhat, Aasia Rehman, Muhammad Abulaish Издательство: Wiley-IEEE Press Год: 2025 Страниц: 309 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Apply revolutionary Deep Learning technology to the fast-growing field of medical image segmentation. Precise medical image segmentation is rapidly becoming one of the most important tools in medical research, diagnosis, and treatment. The potential for Deep Learning, a technology which is already revolutionizing practice across hundreds of subfields, is immense. The prospect of using Deep Learning to address the traditional shortcomings of image segmentation demands close inspection and wide proliferation of relevant knowledge. Deep Learning Applications in Medical Image Segmentation meets this demand with a comprehensive introduction and its growing applications. Covering foundational concepts and its advanced techniques, it offers a one-stop resource for researchers and other readers looking for a detailed understanding of the topic. It is deeply engaged with the main challenges and recent advances in the field of deep-learning-based medical image segmentation. The book also covers cutting-edge topics such as the use of generative adversarial networks (GANs) for image segmentation and collaborative models for cell image segmentation. |
Разместил: Ingvar16 9-01-2025, 16:40 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Efficient Node.Js: A Beyond-The-Basics Guide Автор: Samer Buna Издательство: O’Reilly Media, Inc. Год: 2025 Страниц: 273 Язык: английский Формат: epub Размер: 10.1 MB
Take your web development skills from browser to server with Node.js, the popular backend framework used by more than 10 million developers at companies like Amazon, Netflix, and LinkedIn, to name just a few. If you're comfortable working with jаvascript, this practical guide from Samer Buna will show you how to effectively build and maintain even the most complex Node.js applications. Following a hands-on, project-based approach, you'll move from key fundamentals to advanced concepts such as modules, packages, event-driven architecture, streams, child processes, scaling, testing, deployment, and much more—all while focusing on what actually matters in practice. This book is my attempt at helping you learn Node.js efficiently. It naturally dips into a few jаvascript concepts, but in general, you need a good basic understanding of the jаvascript language to get the most value out of this book. If you’re not comfortable working with jаvascript objects, functions, operators, and iterators, reading an introductory book about jаvascript before this book would help. |
Разместил: Ingvar16 9-01-2025, 14:25 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Системное программирование: Учебное пособие Автор: Е.Е. Бизянов Издательство: Инфра-Инженерия Год: 2024 Страниц: 194 Язык: русский Формат: pdf Размер: 10.76 MB
Приведены теоретические положения и представлены практические примеры системного программирования. Рассмотрены системные ресурсы компьютера. Изложены основы языков системного программирования низкого уровня - Си и Ассемблера. Значительная часть пособия посвящена программированию аппаратных средств: устройств ввода/вывода, дисков. Подробно рассмотрено программирование портов ввода-вывода, использующих интерфейсы LPT, СОМ и USB. Для программирования разнородных устройств необходимо знать аппаратные регистры, настройка которых позволяет прочитать информацию об устройствах, задать их параметры, определить режимы работы и т.п. В завершающем разделе пособия рассматривается создание специфических системных программ: служб Windows и демонов Linux. |
Разместил: Ingvar16 8-01-2025, 20:19 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure Автор: Kristen Kehrer, Caleb Kaiser Издательство: Wiley Год: 2024 Страниц: 237 Язык: английский Формат: True/Retail PDF, True EPUB Размер: 10.75 MB
A much-needed guide to implementing new technology in workspaces. From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), Machine Learning, and Data Science. This groundbreaking book will change the way that you view the pipeline of Data Science. The authors provide an introduction to modern Machine Learning, showing you how it can be viewed as a holistic, end-to-end system?not just shiny new gadget in an otherwise unchanged operational structure. By adopting a data-centric view of the world, you can begin to see unstructured data and LLMs as the foundation upon which you can build countless applications and business solutions. This book explores a whole world of decision making that hasn't been codified yet, enabling you to forge the future using emerging best practices. We intend this book to be something you can read all the way through. This is not an index of methods or a comprehensive book on Machine Learning. Our aim is to cover the challenges associated with modern-day Machine Learning with a particular focus on data versioning, experiment tracking, post-production model monitoring, and deployment to equip you with the code and examples to start leveraging best practices immediately. This book is indispensable for data professionals and business leaders looking to understand LLMs and the entire Data Science pipeline. |
Разместил: Ingvar16 8-01-2025, 07:26 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Graph Neural Network Methods and Applications in Scene Understanding Автор: Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou, Weiwei Xing Издательство: Springer Год: 2024 Страниц: 231 Язык: английский Формат: pdf (true), epub Размер: 56.0 MB
The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in Computer Vision and image processing, which realizes semantic segmentation and object recognition of image or video. In this book, the algorithm, system design and performance evaluation of scene understanding based on graph neural networks (GNNs) have been studied. First, the book elaborates the background and basic concepts of graph neural network and scene understanding, then introduces the operation mechanism and key methodological foundations of graph neural network. The book then comprehensively explores the implementation and architectural design of graph neural networks for scene understanding tasks, including scene parsing, human parsing, and video object segmentation. |
Разместил: Ingvar16 8-01-2025, 04:01 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: AI Value Creators: Beyond the Generative AI User Mindset (Early Release) Автор: Rob Thomas, Paul Zikopoulos, Kate Soule, Dario Gil Издательство: O’Reilly Media, Inc. Год: 2025-01-07 Страниц: 150 Язык: английский Формат: pdf, epub Размер: 10.1 MB
We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding its potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape. This insightful guide by industry leaders Rob Thomas, Paul Zikopoulos, Kate Soule, and Dario Gil goes beyond the basics, offering real-life success stories and learned lessons to provide a blueprint for meaningful AI engagement. Whether you're a novice or a seasoned expert, you'll come away with an enhanced understanding of GenAI. |
Разместил: Ingvar16 7-01-2025, 22:29 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: Java: Learn Java Programming From Beginner to Professional Автор: Philip Jeff Издательство: Independently published Год: 2024 Страниц: 340 Язык: английский Формат: epub Размер: 12.0 MB
Java: Learn Java Programming From Beginner to Professional This is your ultimate companion on the journey to mastering Java. If you are stepping into the world of programming for the first time or are an experienced developer looking to sharpen your skills, this book offers a structured and comprehensive guide to becoming a proficient Java programmer. Inside this book, you'll find clear explanations of Java concepts, supplemented with practical examples that bring the theory to life. Each chapter is crafted to build your knowledge progressively, ensuring you understand the foundational principles before moving on to more advanced topics. But this isn't just a book to read—it's a book to do. Every chapter includes carefully designed exercises that challenge you to apply what you've learned, solidifying your understanding through hands-on practice. And to make sure you're on the right track, detailed solutions are provided, helping you to identify any mistakes and learn from them. |
Разместил: Ingvar16 7-01-2025, 20:46 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
Название: AI in Disease Detection: Advancements and Applications Автор: Rajesh Singh, Anita Gehlot, Navjot Rathour, Shaik Vaseem Akram Издательство: Wiley-IEEE Press Год: 2025 Страниц: 395 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
Comprehensive resource encompassing recent developments, current use cases, and future opportunities for Artificial Intelligence (AI) in disease detection. AI in Disease Detection discusses the integration of Artificial Intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as Computer Vision, natural language processing (NLP), and Machine Learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field. |
Разместил: Ingvar16 7-01-2025, 20:01 | Комментарии: 0 | Подробнее
| | | |
|
| |
br>
|