Название: Анализ и оптимизация СВЧ-структур с помощью HFSS Автор: С. Е. Банков, А. А. Курушин, В. Д. Разевиг ; под редакцией С. Е. Банкова Издательство: СОЛОН-Пресс Год: 2017 - 2-е изд., допол. Cтраниц: 216 Формат: pdf Размер: 26 мб Язык: русский
Данная книга открывает новый подход в проектированию трехмерных СВЧ-устройств. Впервые в России в практику проектирования вводится электродинамический метод, реализованный в программе HP HFSS, обеспечивающий точные результаты моделирования объемных конструкций в СВЧ-диапазоне. Описан интерфейс программы, методы черчения и моделирования волноводных, микрополосковых и антенных структур.
Название: Python Polars: The Definitive Guide: Blazingly Fast Data Analysis (Fourth Early Release) Автор: Jeroen Janssens, Thijs Nieuwdorp Издательство: O’Reilly Media, Inc. Год: 2024-05-23 Страниц: 468 Язык: английский Формат: pdf, epub Размер: 10.1 MB
Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient data wrangling, ETL pipelines, and so much more. This book helps you quickly learn the syntax and understand Polars' underlying concepts. You don't need to have experience with pandas or Spark, but if you do, this book will help you make a smooth transition.
Название: jаvascript. A Comprehensive manual for creating dynamic, responsive websites and applications: Suitable For Both Novice And Experts Автор: Ibrahim Nugwa Abdulrazak Издательство: Noogul Digital Services Год: 2024 Страниц: 1555 Язык: английский Формат: epub (true) Размер: 10.1 MB
This book shows off jаvascript's potential for developing web applications by mixing in-depth theory instruction with enjoyable assignments that will push your limits. To gain a thorough knowledge of the ideas, you can experiment with them in your own editor or browser console as you learn them. Basic programming concepts, including variables, arrays, objects, functions, conditionals, loops, classes, and more, will be covered first. Building on this foundation, you'll combine jаvascript with HTML and CSS to create interactive web applications that you can use immediately away, with the help of interesting examples and practical exercises. The fundamentals of the jаvascript language will be used to help you learn how to create your own scripts from scratch, which will make the script-writing process easier. Detailed examples and scripts explaining how to combine jаvascript with Google Apps script were provided in Chapters Sixteen and Seventeen. Creating and releasing add-ons for Google Sheets, Docs, and Forms on an online shop is made simple using Apps Script. It functions as a unified platform for creating, coding, and eventually sharing apps on the web store. This tutorial is designed for the aspiring Web Designers and Developers with a need to understand jаvascripting in enough detail along with its simple overview, and practical examples. This tutorial will give you enough ingredients to start with jаvascript from where you can take yourself at higher level of expertise.
Название: Construct, Merge, Solve & Adapt: A Hybrid Metaheuristic for Combinatorial Optimization Автор: Christian Blum Издательство: Springer Серия: Computational Intelligence Methods and Applications Год: 2024 Страниц: 202 Язык: английский Формат: pdf (true), epub Размер: 30.7 MB
This book describes a general hybrid metaheuristic for combinatorial optimization labeled Construct, Merge, Solve & Adapt (CMSA). The general idea of standard CMSA is the following one. At each iteration, a number of valid solutions to the tackled problem instance are generated in a probabilistic way. Hereby, each of these solutions is composed of a set of solution components. The components found in the generated solutions are then added to an initially empty sub-instance. Next, an exact solver is applied in order to compute the best solution of the sub-instance, which is then used to update the sub-instance provided as input for the next iteration. In this way, the power of exact solvers can be exploited for solving problem instances much too large for a standalone application of the solver. Important research lines on CMSA from recent years are covered in this book. After an introductory chapter about standard CMSA, subsequent chapters cover a self-adaptive CMSA variant as well as a variant equipped with a learning component for improving the quality of the generated solutions over time. Furthermore, on outlining the advantages of using set-covering-based integer linear programming models for sub-instance solving, the author shows how to apply CMSA to problems naturally modelled by non-binary integer linear programming models. First of all, note that all approaches described in this book were implemented in C++ and compiled with one of the latest GNU compilers. Moreover, as ILP solver we used CPLEX version 22.1, if not otherwise stated. The book will be valuable and is intended for researchers, professionals and graduate students working in a wide range of fields, such as combinatorial optimization, algorithmics, metaheuristics, mathematical modeling, evolutionary computing, operations research, Artificial Intelligence, or statistics.
Название: Predictive Data Modelling for Biomedical Data and Imaging Автор: Poonam Tanwar, Tapas Kumar, K. Kalaiselvi, Haider Raza Издательство: River Publishers Год: 2024 Страниц: 392 Язык: английский Формат: pdf (true) Размер: 19.4 MB
In this book, we embark on a journey into the realm of predictive data modeling for biomedical data and imaging in healthcare. It explores the potential of predictive analytics in the field of medical science through utilizing various tools and techniques to unravel insights and enhance patient care. This volume creates a medium for an interchange of knowledge from expertise and concerns in the field of predictive data modeling. In detail, the research work on this will include the effective use of predictive data modeling algorithms to run image analysis tasks for understanding. Predictive Data Modelling for Biomedical Data and Imaging is divided into three sections, namely Section I – Beginning of Predictive Data Modeling for Biomedical Data and Imaging/Healthcare, Section II – Data Design and Analysis for Biomedical Data and Imaging/Healthcare, and Section III – Case Studies of Predictive Analytics for Biomedical Data and Imaging/Healthcare. We hope this book will inspire further research and innovation in the field of predictive data modeling for biomedical data and imaging in healthcare. Better healthcare and precise medicine may be developed using AI and multipurpose ML systems. These platforms may be used to find the best routes to customize and affordable therapies. Deep Learning algorithms focus on inducement of alike conclusions as human beings ensure by incessantly examining data conferring to a specified rational structure. TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. TensorFlow is designed to be a flexible, scalable, and efficient platform for building and training Machine Learning models. Keras is an open-source neural network library written in Python.
Название: Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement Автор: Teena Sharma, Nishchal K. Verma Издательство: Springer Серия: Algorithms for Intelligent Systems Год: 2024 Страниц: 158 Язык: английский Формат: pdf (true) Размер: 10.5 MB
Artificial Intelligence (AI) has introduced a range of effective image processing tools that play a pivotal role in fortifying vision-based applications. The success of these applications hinges on the quality of input images, particularly those containing intricate textural details. The merit of an image is typically gauged through visible aspects such as illumination, color, and shapes, all of which can be adversely impacted by atmospheric factors like haze and uneven illumination. When haze particles are present, they impede the transmission of reflected light rays to the observer, resulting in an elevation of airlight and causing the image to exhibit a hazy appearance. Conversely, non-uniform illumination conditions contribute to a darkened depiction of the captured scene, leading to the obscuring of visible features. Consequently, image enhancement emerges as a crucial preliminary step, aiming to revive textural intricacies and refine image details. This enhancement process proves indispensable in bolstering the resilience of vision-based applications, ensuring their optimal performance even in challenging environmental circumstances. This book provides a detailed explanation of AI algorithms for image dehazing and non-uniform illumination enhancement. It outlines unsupervised and supervised methods with their advantages and limitations. The structure of this book will be helpful for a reader first to understand the unsupervised methods considering the scenario when it is impractical to have a large set of datasets for training an AI algorithm for image enhancement. Since there have been extensive advancements in Deep Learning methods and the availability of resources, this book provides a detailed insight into the run-time and accuracy adjustments of deep learning-based AI algorithms to learn the pattern better while performing enhancement.
Название: Сад. Город. Насіння Номер: № 7(8) липень, 2017 Изд-во: ФОП О. В. Самуляк К-во стр: 50 Формат: pdf Размер: 33,58 Мб Язык: Українська
В новому номері журнала "Сад. Город. Насіння" читайте: - "САД": садові турботи - чому не плодоносять вишня і слива?; Дерева у другий період вегетації; Клумба: догляд улітку; Подбайте про яблуню та грушу; Боротьба з плодовою гниллю та інш.* - "ГОРОД": визначаємо дозу добрива; підв’язуємо помідори; чому гірчать огірки? тощо* - "НАСІННЯ": помідори: збір і зберігання насіння; Пора викопувати цибулини;
Название: Краткий справочник по открытым горным работам Автор: Мельников Н.В. Издательство: Недра Год издания: 1982 Количество страниц: 418 Язык: русский Формат: DJVU Размер: 12,25 Мб
Приведены сведения, необходимые при проектировании открытой разработки месторождений, даны схемы вскрытия и системы разработки, способы проведения траншей, определены условия устойчивости откосов уступов и бортов карьеров, рассмотрены буровзрывные, экскаваторные и скреперные работы, гидромеханизация, схемы транспортирования, устройство отвалов и рекультивация. Четвертое издание (3-е изд. - 1974 г.) дополнено новыми материалами по результатам научных исследований в области открытых разработок, приведены данные по усреднению качества полезных ископаемых, включена уточненная методика расчета технико-экономических показателей при проектировании карьеров. Для широкого круга инженерно-технических работников горнодобывающих предприятий, проектных и научно-исследовательских институтов.
Название: Microsoft Visual C# Step by Step (Developer Reference), 10th Edition Автор: Sharp John Издательство: Microsoft Press Год выхода: 2022 Страниц: 833 Формат: True PDF Размер: 134 MB Язык: английский
Your hands-on guide to Visual C# fundamentals with Visual Studio 2022 Expand your expertise—and teach yourself the fundamentals of programming the latest version of Visual C# with Visual Studio 2022. This book provides software developers all the guidance, exercises, and code needed to start building responsive, scalable, cloud-connected applications that can run almost anywhere.
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Название: Microsoft Visual C# Step by Step (Developer Reference), 10th Edition