Название: Artificial Intelligence and Machine Learning in Smart City Planning
Автор: Vedik Basetti, Chandan Kumar Shiva
Издательство: Elsevier
Год: 2023
Страниц: 326
Язык: английский
Формат: pdf
Размер: 16.3 MB

Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. Human beings are the smart and advanced species on this planet because they can think, evaluate, and solve complicated issues. On the other hand, Artificial Intelligence is in the initial stage when compared to human intelligence in many aspects. Then the purpose of Machine Learning is to take decisions based on the data available with efficiency. Research has been going on in technologies like Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning to solve real-world complex issues.

Название: The Decision Intelligence Handbook: Practical Steps for Evidence-Based Decisions in a Complex World (Second Early Release)
Автор: L.Y. Pratt, N.E. Malcolm
Издательство: O’Reilly Media, Inc.
Год: 2023-02-17
Страниц: 181
Язык: английский
Формат: epub (true), mobi
Размер: 24.0 MB

Decision Intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of Artificial Intelligence (AI). Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. Until now, there has been little practical guidance for organizations to formalize decision-making and integrate their decisions with data. Decision Intelligence (DI) is a methodology and set of processes and technologies for making better, more evidence-based decisions by helping decision makers understand how the actions they take today can affect their desired outcomes in the future. The key concept of DI is the idea that you can design decisions. Importantly, a decision, as we treat it here, is a thought process about an action that, once made, leads to specific outcomes without any further intervention. Under the hood, DI is all about integration and connecting human decision-makers with data, AI, complex systems modeling, human behavior, and many other disciplines.

Название: Advanced Testing of Systems-of-Systems, Volume 1: Theoretical Aspects
Автор: Bernard Homes
Издательство: Wiley-ISTE
Год: 2022
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The breadth of the subject justifies splitting this work in two books. Part I, this book, covers the general aspects applicable to systems-of-systems testing, among them the impact of development life cycle, test strategy and methodology, the added value of quality referential, test documentation and reporting. We identified the impact of various test levels and test techniques, whether static or dynamic. In the second book, we will focus on project management, identifying human interactions as primary elements to consider, and we will continue with practical aspects such as testing processes and their iterative and continuous improvement. We will also see additional but necessary processes, such as requirement management, defects management and configuration management. The main aspect put forward is the difference between the traditional vision of software testing – focused on one system and one version – and the necessary vision when multiple systems and multiple versions of software must be interconnected to provide a service that needs to be tested thoroughly.

Название: Advanced Testing of Systems-of-Systems, Volume 2: Practical Aspects
Автор: Bernard Homes
Издательство: Wiley-ISTE
Год: 2022
Страниц: 306
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.3 MB

In this second part of the book on systems-of-systems testing, we will focus on more practical aspects such as managing test projects, testing processes and how to improve them continuously. We will see the additional but necessary processes such as the management of requirements, defects and configurations, and we will also see a case study allowing us to ask ourselves several useful questions. We will end with a perilous prediction exercise by listing the challenges that tests will have to face in the years to come. In DevOps environments, it is recommended to enable automatic creation of environments to test builds as they are created by developers. As proposed by Kim et al., it is necessary to allow to recreate – automatically – the test environments rather than trying to repair them. This automatic creation solution ensures an identical test environment to the previous version, which will facilitate regression testing.

Название: Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization
Автор: Rachid Chelouah, Patrick Siarry
Издательство: Wiley
Год: 2022
Страниц: 255
Язык: английский
Формат: pdf (true), epub (true)
Размер: 18.1 MB

Machine Learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and Machine Learning, and to demonstrate how to apply them in the fields of engineering. The fields of Machine Learning and optimization are highly interwoven. Optimization problems form the core of Machine Learning methods and modern optimization algorithms are using Machine Learning more and more to improve their efficiency. Machine Learning has applications in all areas of science. There are many learning methods, each of which uses a different algorithmic structure to optimize predictions, based on the data received. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on Machine Learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on Machine Learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.

Название: Uncertainty Quantification using R
Автор: Eduardo Souza de Cursi
Издательство: Springer
Год: 2023
Страниц: 767
Язык: английский
Формат: pdf
Размер: 33.9 MB

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems. The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning. R programming is analogous to programming in usual programming languages and interpreters.

Название: Developing Web Components with Svelte: Building a Library of Reusable UI Components
Автор: Alex Libby
Издательство: Apress
Год: 2023
Страниц: 350
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Leverage the power of Svelte to quickly produce the foundations of a framework-agnostic component library that can extend and develop over time. This is a project-oriented book that simplifies setting up the skeleton of the library and adding components, using little more than a text editor or free software. You'll gain a starting baseline that can be used to develop future projects or incorporated into an existing workflow. You'll take development to the next level and can use this knowledge to create components with any framework, such as React, Angular or Vue.js, not just Svelte. Developing Web Components with Svelte is an excellent resource for getting acquainted with creating and maintaining a component library using a phased approach. It takes the view that you don't have to create something complex and unwieldy. Instead, you can start building something quickly, then extend it as needs dictate over time, without sacrificing speed or features.

Название: Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation
Автор: Danda B. Rawat, Lalit K. Awasthi
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 610
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

This book was written to discuss the milestones in the development of three recent domains in Computer Science engineering - Cloud Computing, Artificial Intelligence and Big Data Analytics - and to analyse the convergence of cloud computing with Artificial Intelligence (AI) for Big Data analytics. Despite the fact that all three domains work separately, they can be linked in interesting ways. However, even though AI and Big Data can be easily linked, because AI needs a huge amount of data to train the model, they still suffer from a data storage issue. This drawback can be addressed with the help of Cloud Computing, which makes it possible to provide on- demand services to the client in terms of computer resources, such as storage and computing power, without the need for user management. This book aims to provide the scope of research on the discussed technologies.

Название: Начала программирования на языке Паскаль
Автор: Абрамов С.А., Зима Е.В.
Издательство: Наука
Год: 1987
Формат: pdf
Страниц: 114
Размер: 22.9 Мб
Язык: русский

Предлагается сокращенный вариант языка программирования Паскаль. Всякая программа, правильно написанная на сокращенном Паскале, будет правильной в смысле полного паскаля. Понятия языка и приемы программирования на нем излагаются таким образом, чтобы с первых же параграфов привлечь читателя к самостоятельному составлению законченных программ. Разбирается большое число примеров и предлагаются задачи для самостоятельного решения.

Название: Silverlight 2
Автор: Буньон Л.
Издательство: ДMK
Год: 2009
Cтраниц: 528
Формат: pdf (ocr)
Размер: 68 мб
Язык: русский

Silverlight – новая революционная технология разработки пользовательских веб-интерфейсов, созданная корпорацией Майкрософт на основе Windows Presentation Foundation (WPF). В приложениях Silverlight используется язык разметки XAML при поддержке таких инструментов, как Expression Design и Expression Blend.