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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: 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: 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.

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.