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.

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.

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.

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.

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.

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.

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.

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.

Название: Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Автор: Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Sachin Shetty, Dan Radke
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 277
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

A comprehensive and up-to-date application of Reinforcement Learning concepts to offensive and defensive cybersecurity. In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of Reinforcement Learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks. Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit Computer Science researchers.

Название: Python для начинающих. Учимся программировать с помощью мини-игр и загадок
Автор: Юэнс-Кларк Кен
Издательство: Феникс
Год: 2025
Формат: PDF
Страниц: 548
Размер: 35 Mb
Язык: Русский

В книге "Python для начинающих" читатели найдут задания, позволяющие изучить этот язык программирования через решение увлекательных головоломок и создание игр. Каждая глава предлагает новую программу: от создания паролей до генерации шекспировских оскорблений. Издание подойдет для читателей с нулевым или начальным опытом в программировании, а также для тех, кто уже имеет опыт, но хочет изучить новый язык.