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Название: Metaheuristics for Enterprise Data Intelligence
Автор: Kaustubh Vaman Sakhare, Vibha Vyas, Apoorva S Shastri
Издательство: CRC Press
Серия: Advances in Metaheuristics
Год: 2025
Страниц: 159
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

With the emergence of the Data Economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decision making. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cyber security, networking, supply chain management, manufacturing and so on. Optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include Genetic Algorithms, Differential Evolution, Ant Colony Optimization, Particle Swarm Optimization, Artificial Bee Colony, Grey Wolf Optimizer, Political Optimizer, Cohort Intelligence, League Championship Algorithm, and many more. This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.

Название: Learn OpenCV with Python by Exercises: Build Computer Vision Algorithms by OpenCV with Python for Image Processing
Автор: Jeffrey Leon Stroup, Hiram Esteban Jimenez
Издательство: Independently published
Год: 2024
Страниц: 341
Язык: английский
Формат: epub
Размер: 10.1 MB

Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting. OpenCV is one of the most popular computer vision libraries. If you want to start your journey in the field of computer vision, then a thorough understanding of the concepts of OpenCV is of paramount importance. OpenCV is the huge open-source library for Computer Vision, Machine Learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. When it integrated with various libraries, such as Numpy, Python is capable of processing the OpenCV array structure for analysis. To Identify image patterns and its various features we use vector space and perform mathematical operations on these features. Here what you'll learn after downloading this book: - Introduction to OpenCV; - Install OpenCV for Python; - Reading an image in OpenCV using Python; - Color Spaces in OpenCV; - Arithmetic Operations on Images using OpenCV; - Image Resizing using OpenCV; - Image blurring using OpenCV; - Grayscaling of Images using OpenCV; - Erosion and Dilation of images using OpenCV; - OpenCV Python Program to analyze an image using Histogram; - Histograms Equalization in OpenCV; - Thresholding techniques using OpenCV; - OpenCV: Segmentation using Thresholding; - Filter Color with OpenCV; - Denoising of colored images using OpenCV; - Visualizing image in different color spaces; - Image Registration using OpenCV; - Find and Draw Contours using OpenCV; - Draw a triangle with centroid using OpenCV; - Play a video using OpenCV; - Create video using multiple images using OpenCV; - Extract images from video in Python; And more...

Название: C# and Algorithmic Thinking for the Complete Beginner (3rd Edition): Learn to Think Like a Programmer
Автор: Aristides S. Bouras
Издательство: Independently published
Год: 2024
Страниц: 1191
Язык: английский
Формат: pdf, epub, mobi
Размер: 13.7 MB

Completely updated for the latest version of C#, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals, eager to learn C# from scratch, providing a strong foundation in Algorithmic Thinking—the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding. This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files. Structured for both classroom use and independent study, each chapter is concluded with a set of questions and exercises designed to reinforce your understanding and apply what you've learned. With approximately 250 solved and 480 unsolved exercises, 500 true/false questions, 150 multiple-choice questions, and 200 review questions and crosswords (with solutions and answers available online). Anyone who wants to start learning or teaching computer programming using the best practices and techniquesNotice: This book is exclusively focused on developing command-line interface (CLI) applications.

Название: Введение в современную Android-разработку на языке Java. Часть 2
Автор: Рысин М.Л.
Издательство: М.: МИРЭА – Российский
технологический университет
Год: 2024
Формат: pdf
Страниц: 110
Размер: 11 mb
Язык: Русский

Учебное пособие посвящено современным подходам к созданию Android-приложений. Показаны приемы разработки средствами языка высокого уровня Java в инструментальной среде Android Studio. Приводятся необходимые теоретические сведения и практические задания для самостоятельного освоения материала и организации практических занятий.
Материал пособия необходим для освоения дисциплины «Разработка мобильных приложений», может быть полезен при изучении других дисциплин, связанных с реализацией программных систем.

Название: Ultimate Cardano Smart Contracts: Unlock the Full Potential of the Cardano Blockchain by Developing Real-World Web 3.0 Projects Using Plutus Smart Contracts, and App Development
Автор: Lawrence Arthur Ley
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 329
Язык: английский
Формат: epub (true)
Размер: 95.1 MB

Build Decentralized Applications Today for a Better Tomorrow. Unlock the full potential of the Cardano blockchain for building decentralized Web 3.0 apps with Ultimate Cardano Smart Contracts. This book takes you on a journey from the basics of blockchain evolution, cryptography, and Cardano's unique consensus algorithm, to the intricacies of transactions and smart contracts. You'll dive deep into Plutus, Cardano's native smart contract language, and master essential tools like the Transaction Builder and Validators. Learn how to mint your own tokens and utilize the best development tools available. Through a real-world ticketing application project, you'll design, implement, test, and deploy a decentralized application, ensuring robust security and scalability. Troubleshoot common issues and explore the vibrant Cardano ecosystem, filled with resources and communities to support your ongoing development journey. By the end of this book, you'll have the skills and confidence to create sophisticated smart contracts and contribute to the innovative world of Cardano. This book comprises 14 chapters, each building upon the previous chapters. We will start with the fundamentals of blockchain and then move into writing smart contracts. The book will close with an overview of the Cardano ecosystem and ethos. The book includes technical and non-technical material, so it will appeal to experienced developers and non-technical entrepreneurs looking to improve their knowledge and understanding.

Название: Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications
Автор: Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Muhammad Fayaz
Издательство: CRC Press
Серия: Intelligent Data-Driven Systems and Artificial Intelligence
Год: 2025
Страниц: 375
Язык: английский
Формат: pdf (true)
Размер: 26.3 MB

The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities' concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic. Chapter 1 examines the interdisciplinary uses of AI and how it is revolutionizing several sectors, by introducing the concept of AI and the significance of a multidisciplinary approach in harnessing its potential. Chapter 2 introduces deep neural networks and their structures, methodologies, properties, and limits. Also discussed are the significant distinctions between deep neural networks and standard ML, as well as the big obstacles ahead. Chapter 3 focuses on providing a comprehensive comparative analysis of AI, Deep Learning (DL), and ML. It briefly overviews the state-of-the-art developments in these fields, highlighting key trends, challenges, and applications. Chapter 4 sheds light on the challenges and possibilities offered by these technologies by addressing the fundamental principles of Big Data mining and distributed processing.

Название: Введение в современную Android-разработку на языке Java. Часть 1
Автор: Рысин М.Л.
Издательство: М.: МИРЭА – Российский технологический университет
Год: 2023
Формат: pdf
Страниц: 132
Размер: 11 mb
Язык: русский

Учебное пособие посвящено современным подходам к созданию Android-приложений. Показаны приѐмы разработки средствами языка высокого уровня Java в инструментальной среде Android Studio. Приводятся необходимые теоретические сведения и практические задания для самостоятельного освоения материала и организации практических занятий.
Материал пособия необходим для освоения дисциплины «Разработка мобильных приложений», может быть полезен при изучении других дисциплин, связанных с реализацией программных систем.

Название: PHP by Example: A Practical Guide to Creating Web Applications with PHP
Автор: Alex Vasilev
Издательство: Apress
Год: 2024
Страниц: 432
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Learn to create web applications in PHP with minimal previous experience. This book is a practical guide to using PHP for web development. Loaded with examples and step-by-step instructions, each chapter is dedicated to a specific area or function. You’ll first review the main principles of PHP and what is needed to program and develop in it. You’ll then study variables, data types, control statements, arrays, and functions, all critical for creating efficient PHP programs. The book then moves on to object-oriented programming (OOP) and how to implement those principles in PHP, as well as inheritance, interfaces, testing, error handling, and exceptions. By the end of PHP by Example, you will have the knowledge and confidence to implement PHP for your web projects both large and small. This book discusses the PHP programming language. PHP is a simple, beautiful, and elegant language. Moreover, it is special in some sense. PHP is designed to execute code on the server side. In other words, it is not enough to know PHP. It is also necessary to understand how and for what it is used. That is important since understanding the possibilities of a language is the key to using it effectively.

Название: Machine Learning For Network Traffic and Video Quality Analysis: Develop and Deploy Applications Using jаvascript and Node.js
Автор: Tulsi Pawan Fowdur, Lavesh Babooram
Издательство: Apress
Год: 2024
Страниц: 475
Язык: английский
Формат: pdf
Размер: 15.1 MB

This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using jаvascript. jаvascript provides the flexibility to deploy these applications across various devices and web browsers. The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and jаvascript. Practical aspects of developing the Video Quality Assessment (VQA) model using jаvascript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm. By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using jаvascript and Node.js.

Название: Modern Statistics with R: From Wrangling and Exploring Data to Inference and Predictive Modelling: Second Edition
Автор: Måns Thulin
Издательство: CRC Press
Год: 2025
Страниц: 493
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. R is not like other statistical software packages. It is free, versatile, fast, and modern. It has a large and friendly community of users that help answer questions and develop new R tools. With more than 17,000 add-on packages available, R offers more functions for data analysis than any other statistical software. This includes specialised tools for disciplines as varied as political science, environmental chemistry, and astronomy, and new methods come to R long before they come to other programs. R makes it easy to construct reproducible analyses and workflows that allow you to easily repeat the same analysis more than once. R is not like other programming languages. It was developed by statisticians as a tool for data analysis and not by software engineers as a tool for other programming tasks. Some books on R focus entirely on Data Science – data wrangling and exploratory data analysis – ignoring the many great tools R has to offer for deeper data analyses. Many introductory books on statistical methods put too little focus on recent advances in computational statistics and advocate methods that have become obsolete. Far too few books contain discussions of ethical issues in statistical practice. This book aims to cover all of these topics and show you the state-of-the-art tools for all these tasks. It covers data science and (modern!) classical statistics as well as predictive modelling and machine learning, and deals with important topics that rarely appear in other introductory texts, such as simulation. It is written for R 4.3 or later and will teach you powerful add-on packages like data.table, dplyr, ggplot2, and caret. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices.