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Название: The Pocket Mentor for Video Game UX UI
Автор: Simon Brewer
Издательство: CRC Press
Год: 2025
Страниц: 195
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

Want to work in UI/UX in the video games industry? Then this is the book for you. This book provides all the essential information and guidance you need to understand the industry and get your foot on the ladder. This book provides those both familiar and unfamiliar with the wonderful world of UX and UI in video games with a concise but informative breakdown of the disciplines. It discusses the different career paths and how the role’s impact, responsibilities, and perceptions have evolved. This book covers everything, from the education you’ll need to searching and applying for jobs, and the interview process. It also includes advice on what to do once you’re in the role, with chapters covering best practices for UI/UX, how to set goals for future career progression, and interviews with top tips from experts in the industry. This book will be of great interest to all aspiring game developers looking to work in UI/UX and beginners looking to grow their careers.

Название: Software Engineering: Survival Guide
Автор: Roberto Monje Peinado
Издательство: Independently published
Год: 2024
Страниц: 228
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Software engineering involves applying engineering practices to building software products. To teach it, it is common to resort to detailed methodological processes and endless lists of all types of techniques. Learners get lost in a thicket of tools, activities, deliverables and standards. The trees don't let them see the forest. This book explains software engineering concisely, focusing on principles and not processes. It aims to highlight the essential and hide the accessory. You will not find long methodological explanations in this book. Excellence in software building does not rest on the methodology used to carry out the necessary activities, but on the proper understanding of the fundamentals of these activities. This book offers a more adaptive than predictive perspective, aligning it with the common and industry-accepted modern point of view. The predictive vision is presented in a historical manner, to help understand the motivation for current techniques and practices.

Название: Generalized Linear Models With Examples in R
Автор: Peter K. Dunn , Gordon K. Smyth
Издательство: Springer
Год выхода: 2018
Страниц: 573
Формат: PDF
Размер: 10,1 MB
Язык: английский

This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities.

Название: Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications
Автор: Amjad Rehman Khan, Tanzila Saba
Издательство: Auerbach Publications
Год выхода: 2025
Страниц: 268
Формат: ePUB, PDF
Размер: 23,1 MB
Язык: английский

Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industry’s next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered.

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: 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.

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.