Название: Process Control with MATLAB/Simulink: A Guide for Beginners
Автор: Francisco Javier Rivas
Издательство: Cambridge Scholars Publishing
Год: 2025
Страниц: 306
Язык: английский
Формат: pdf (true)
Размер: 24.1 MB

This book aims to serve as an academic manual designed to aid in understanding and applying key concepts in process control using MATLAB and its associated tools. Each chapter features a brief theoretical introduction to help students contextualize the step-by-step solved problems, which are coded in MATLAB. In some instances, the book also covers the use of Simulink and other MATLAB applications, such as System Identification, Control System Designer, and Response Optimizer. The manual seeks to strengthen knowledge in control theory through problem-based learning, which is essential in this field. The text progresses from basic concepts in classical control, such as linearization, Laplace transform, transfer function, and frequency response, to more advanced control theories like state-space representation and discrete control. Throughout, basic examples are solved to significantly enhance the understanding of concepts and their application to real-world systems. MATLAB stands as a cornerstone in the realm of process control teaching, empowering students and educators alike with a comprehensive suite of tools for modeling, analysis, and implementation of control systems. The integration of MATLAB into the curriculum has revolutionized the way process control concepts are taught and understood, offering a dynamic platform for exploration and experimentation.

Название: C++ for Beginners: Understand Core C++ Concepts with Practical Examples
Автор: Eleanor Nash
Издательство: Independently published
Год: 2025
Страниц: 135
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you just beginning your journey in the field of programming and seeking the perfect language to present yourself? C++ for Beginners: Your First Programming Language Explained is your all-inclusive manual for understanding the ideas of the programming language C++ in an orderly and methodical way. Designed for people who have never heard of programming at all, this book will walk you through basic concepts and offer you samples to enable you to acquire practical programming skills. Every chapter will have practical assignments meant to support your knowledge retention. Among other things, these drills address building your programming environment, mastering variables, loops, and functions, and more. Essential abilities for producing code that is both efficient and structured are object-oriented programming (OOP), dynamic memory management, and error handling-all of which you will acquire throughout this course. Unlike other technical books crammed with jargon, this guidebook simplifies C++ by offering explanations that are clear-cut and real-world applications utilized in comparison. You will have completed a mini-project including all you have learned by the end of the course, which will boost your confidence to handle more difficult programming tasks. If you are ready to start down the road of computer programming, the book "C++ for Beginners" is a great place to start.

Название: Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications
Автор: Toufik Mzili, Adarsh Kumar Arya, Dragan Pamucar, Momina Shaheen
Издательство: IGI Global
Год: 2025
Страниц: 620
Язык: английский
Формат: pdf (true), epub
Размер: 39.0 MB

Optimization, Machine Learning, and fuzzy logic are fundamental in the field of Computational Intelligence (CI), each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine Learning enables systems to learn from data, making predictions or decisions without being programmed. Fuzzy logic deals with uncertainty and imprecision, allowing for flexible decision-making processes. Together, these theories, algorithms, and applications solve challenges in fields such as engineering, finance, and healthcare, where traditional methods often fall short. Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications explores optimization techniques, fuzzy logic, and their integration with Machine Learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains. This book covers topics such as disease detection, Deep Learning, and text analysis, and is a useful resource for engineers, data scientists, medical professionals, academicians, and researchers.

Название: Safe C++: Fixing Memory Safety Issues
Автор: David Spuler
Издательство: Aussie AI Labs Pty Ltd
Год: October 16, 2024
Страниц: 188
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Learn about the memory safety debate, Rust versus C++, and the new Safe C++ standard. Examine pragmatic C++ techniques to use now for pragmatic memory safety in standard C++. This book examines the new proposals for a standardized "Safe C++" extensions, along with a variety of pragmatic techniques for coding safe C++ programs, from beginner to advanced, along with a catalog of common C++ bugs to avoid. For anyone programming in C++ or trying to learn the language will benefit from better safety! skills! This book examines safety in coding from beginner to advanced, starting with basic techniques. In the later chapters, the book then covers a variety of advanced techniques.

Название: Before Machine Learning Volume 3 - Probability and Statistics for A.I: The fundamental mathematics for Data Science
Автор: Jorge Brasil
Издательство: Independently published
Год: 2024
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 17.9 MB

What happens when the world’s greatest diamond heist meets the world of probability and statistics? In this captivating and conversational guide, the 2003 Antwerp Diamond Heist serves as a rich backdrop to explain the core concepts of probability and statistics for Artificial Intelligence (AI). Through the lens of the heist, we’ll explore the deeper workings of Bayesian statistics, Markov Chains, and other powerful techniques, all while uncovering how these ideas apply to modern AI. Machine Learning is fundamentally about vast, complex, and often messy data. To transform this raw data into actionable insights, we must navigate uncertainty, discern patterns, and make informed predictions. This is where probability and statistics become crucial. They provide the mathematical foundation for making sense of data, allowing us to draw meaningful, reliable conclusions.

Название: Practical Network Security with OpenSSL: Master Cryptography and OpenSSL Techniques for Secure Communications, PKI, and Hardware Integration in Real-World Applications
Автор: Rohan Subhash Patil
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 234
Язык: английский
Формат: epub (true)
Размер: 32.8 MB

Gain practical OpenSSL skills for real-world cybersecurity challenges. OpenSSL is the backbone of secure communication on the internet, trusted by developers, enterprises, and governments alike. Practical Network Security with OpenSSL equips you with the knowledge, real-world context, and hands-on skills to master OpenSSL—from its command-line tools to its C library APIs—for implementing robust, enterprise-grade cryptographic solutions. You’ll begin with a solid foundation in cryptographic principles and the role of OpenSSL in modern security systems. The book then guides you through practical usage, covering symmetric and asymmetric encryption, Public Key Infrastructure (PKI), and secure communications. Real-world examples and C code snippets help you confidently apply OpenSSL in standalone applications, enterprise-grade solutions, and hardware-based security environments such as HSMs and TPMs. This book is tailored for software developers, system administrators, and cybersecurity professionals who want to gain hands-on expertise with OpenSSL. A basic understanding of networking, Linux command-line tools, and C programming will help readers get the most out of the practical examples and advanced implementations covered.

Название: Deep Learning and Blockchain Technology for Smart and Sustainable Cities
Автор: V. Subramaniyaswamy, G Revathy, Logesh Ravi, N. Thillaiarasu, Naresh Kshetri
Издательство: CRC Press
Год: 2025
Страниц: 382
Язык: английский
Формат: epub (true)
Размер: 10.4 MB

In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of Deep Learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of Artificial Intelligence and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advances in technology bring both opportunities and challenges in creating sustainable smart cities. Deep Learning is a subset of Artificial Intelligence (AI) that mimics the human brain’s neural networks to process data and extract meaningful patterns and insights. It involves the use of deep neural networks with multiple layers of interconnected nodes to learn from large amounts of data and perform tasks such as image recognition, natural language processing, and predictive analytics. Key components of Deep Learning include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).

Название: Linear Models with R, 3rd Edition
Автор: Julian J. Faraway
Издательство: CRC Press
Год: 2025
Страниц: 388
Язык: английский
Формат: pdf, epub (true)
Размер: 11.6 MB

A Hands-On Way to Learning Data Analysis. Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Third Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the second edition. This book is written in three languages: English, Mathematics and R. Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R.

Название: Parallel and High-Performance Computing in Artificial Intelligence
Автор: Mukesh Raghuwanshi, Pradnya Borkar, Rutvij H. Jhaveri, Roshani Raut
Издательство: CRC Press
Год: 2025
Страниц: 340
Язык: английский
Формат: pdf, epub (true)
Размер: 13.8 MB

Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, Machine Learning, Deep Learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence. The book’s two major themes are high-performance computing (HPC) architecture and techniques and their application in Artificial Intelligence. As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. The book also focuses on Deep Learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.

Название: Использование приложения MS Excel для моделирования различных задач
Автор: Кильдишов В.Д.
Издательство: СОЛОН-Пресс
Год: 2019
Cтраниц: 156
Формат: pdf
Размер: 32 мб
Язык: русский

Книга является практическим руководством по моделированию задач с использованием приложения MS Excel. Книга предназначена для школьников, студентов и преподавателей, которые хотят быть знакомы с MS Excel «на Вы», а также научиться моделированию, разработке моделей, алгоритмов и программ. Прочитав эту книгу, Вы научитесь использовать возможности MS Excel, о которых ранее не знали.