Название: Data-Centric Artificial Intelligence for Multidisciplinary Applications Автор: Parikshit N. Mahalle, Namrata N. Wasatkar, Gitanjali R. Shinde Издательство: CRC Press Год: 2024 Страниц: 309 Язык: английский Формат: pdf (true) Размер: 19.4 MB
This book explores the need for a Data-Centric Artificial Intelligence (AI) approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding Machine Learning and Big Data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. Data-Centric Artificial Intelligence (AI) denotes an approach within AI and Machine Learning (ML) that places significant emphasis on the pivotal role of meticulously curated, high‑quality data in the development and implementation of AI models and systems. Under this paradigm, data assumes the bedrock upon which AI algorithms are constructed and honed, and its effective handling, preprocessing, and analysis stand as pivotal factors for achieving precise and dependable AI outcomes.
Название: AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications Автор: Sita Rani, Pankaj Bhambri, Sachin Kumar Издательство: CRC Press Год: 2024 Страниц: 339 Язык: английский Формат: pdf (true) Размер: 22.0 MB
AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. This literary work delves into the revolutionary convergence of Artificial Intelligence (AI), Digital Twins, and Industry 4.0, providing a detailed examination of the theoretical underpinnings and practical implementations within this swiftly advancing domain. Artificial Intelligence (AI), Machine Learning, Deep Learning, Internet of Things (IoT), Cloud Computing, Digital Twin, and the most recent connectivity services are the most prominent of the era’s cutting-edge technologies that are assisting users intelligently and predicting their behavior, as well as providing the connectivity and convenience of data to satisfy the majority of their needs. The target audience of this book encompasses a broad spectrum, ranging from scholars and learners to practitioners and experts in the fields of research, education, engineering, and industry. The book aims to provide comprehensive insights into the interplay between AI, digital twins, and the Fourth Industrial Revolution, also known as Industry 4.0.
Название: Handbook of Digital Twins Автор: Zhihan Lyu Издательство: CRC Press Год: 2024 Страниц: 923 Язык: английский Формат: pdf (true) Размер: 13.5 MB
Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. The Cognitive Digital Twins (CDT) for manufacturing systems was proposed based on advances in cognitive science, Artificial Intelligence (AI) technologies, and Machine Learning techniques. According to the fundamental aspects of cognition, they define CDT as a DT with additional cognitive capabilities, including perception, attention, memory, reasoning, problem‑solving and learning. Recall that a Digital Twin (DT) is a virtual copy of a physical asset that promptly reproduces and alters the state and behavior of the asset. DT intensely employs Industry 4.0 data‑driven Artificial Intelligence technologies and simulations for adaptive monitoring, forecasting, optimization, and controlling asset performance.
Название: Kafka Streams in Action: Event-driven applications and microservices, 2nd Edition (Final Release) Автор: Bill Bejeck Издательство: Manning Publications Год: 2024 Страниц: 506 Язык: английский Формат: pdf (true) Размер: 16.5 MB
Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database. Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you’ll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you’ll need for effective streaming—from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry. Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you’ll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you’ll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications. For Java developers. No knowledge of Kafka or streaming applications required.
Название: Spring Security in Action, 2nd Edition (Final Release) Автор: Laurentiu Spilca Издательство: Manning Publications Год: 2024 Страниц: 440 Язык: английский Формат: pdf (true) Размер: 11.2 MB
Design and develop Spring applications that are secure right from the start. Spring Security in Action, Second Edition is a revised version of the bestselling original, fully updated for Spring Boot 3 and Oauth2/OpenID Connect. This new edition covers the latest patterns for application-level security in Spring apps, demonstrating how Spring Security simplifies every step of the security process. Code samples and useful real-world examples give you hands-on experience of protecting your apps from common threats such as injection attacks and poor monitoring. Spring Security is essential for any Java developer looking to master authentication and authorization in Spring apps. By adopting "secure by design" principles with Spring Security's out-of-the-box features, you can protect your apps from data theft and unauthorized intrusions. Spring Security in Action, Second Edition reveals the Spring Security techniques and tools you need to defend your apps against attack. In this book, author Laurentiu Spilca, a skilled Java and Spring developer, will teach you how to build your own authorization server, manage system users, configure secure endpoints, and prevent cross-site scripting and request forgery attacks. This new second edition delves into the OAuth 2/OpenID Connect stack and details SecurityFilterChain for security configuration. Don't let security be an afterthought. Start protecting your apps from the first line of code! For experienced Java and Spring developers. All examples in this book use Java.
Название: Build a Frontend Web Framework (From Scratch) (Final Release) Автор: Angel Sola Orbaiceta Издательство: Manning Publications Год: 2024 Страниц: 386 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
Learn how a frontend web framework works by coding your own! Web developers use frontend frameworks every day—but do you know how these essential parts of your stack really work? Build a Frontend Web Framework (From Scratch) reveals the inner workings of web frameworks by helping you create your very own. In Build a Frontend Web Framework (From Scratch), you’ll learn the secrets behind frameworks like React, Vue, and Angular. You’ll learn how a modern framework operates by adding features like component state and lifecycle management, a virtual DOM, and reconciliation algorithms to update the HTML efficiently. You’ll appreciate how each critical concept is broken down into easy-to-digest chunks and explained with engaging graphics. Build a Frontend Web Framework (From Scratch) is a hands-on guide designed to lead you through the creation of your own frontend framework, closely mirroring the tools you routinely use in your professional life. My primary goal is to unveil the inner workings of frameworks, enabling you to harness their power more effectively. But the book isn’t just about education; it’s also about reveling in the journey! Frontend frameworks are intricate pieces of software, and this book was crafted with your learning in mind. Each concept is methodically deconstructed into easily digestible segments, supplemented by diagrams and comprehensive explanations. I aim to equip you with everything you need to construct your own framework. For web developers familiar with jаvascript and Node.
Название: Math and Architectures of Deep Learning (Final Release) Автор: Krishnendu Chaudhury Издательство: Manning Publications Год: 2024 Страниц: 553 Язык: английский Формат: pdf (true) Размер: 75.9 MB
Shine a spotlight into the Deep Learning "black box". This comprehensive and detailed guide reveals the mathematical and architectural concepts behind Deep Learning models, so you can customize, maintain, and explain them more effectively. Deep Learning can’t be learned by going through a small fragmented set of simplified recipes from which all math has been scrubbed out. This is a mathematical topic and mastery requires understanding the math along with the programming. What is needed is a resource which presents this topic with the requisite amount of math—no more and no less—with the connection between the Deep Learning and math explicitly spelled out. This is exactly what this book strives to provide with its dual presentation of the math and corresponding PyTorch code snippets. Readers need to know Python and the basics of algebra and calculus.
Название: Programming: Principles and Practice Using C++, 3rd Edition Автор: Bjarne Stroustrup Издательство: Addison-Wesley Professional/Pearson Education Год: 2024 Страниц: 654 Язык: английский Формат: True PDF, True/Retail EPUB Размер: 65.2 MB
An Introduction to Programming by the Inventor of C++. Programming: Principles and Practice Using C++, Third Edition, will help anyone who is willing to work hard learn the fundamental principles of programming and develop the practical skills needed for programming in the real world. Previous editions have been used successfully by many thousands of students. Programming is the art of expressing solutions to problems so that a computer can execute those solutions. Much of the effort in programming is spent finding and refining solutions. Often, a problem is only fully understood through the process of programming a solution for it. This book is for someone who has never programmed before but is willing to work hard to learn. It helps you understand the principles and acquire the practical skills of programming using the C++ programming language. It can also be used by someone with some programming knowledge who wants a more thorough grounding in programming principles and contemporary C++.
Название: Basic and Advance: Python Programming Автор: Agya Ram Verma, Yatendra Kumar, Sag Ram Verma Издательство: NIPA GENX Electronic Resources & Solutions P. LTD. Год: 2023 Страниц: 240 Язык: английский Формат: pdf (true) Размер: 15.9 MB
This book will introduce you to the Python programming language. It's aimed at beginning programmers, but even if you have written programs before and just want to add Python to your list of languages. Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. It has fewer steps when compared to Java and C. It was founded in 1991 by developer Guido Van Rossum. Python ranks among the most popular and fastest-growing languages in the world. Python is a powerful, flexible, and easy-to-use language. In addition, the community is very active there. It is used in many organizations as it supports multiple programming paradigms. It also performs automatic memory management. The first eight chapters explain Python's basic and you should read them in order. The later chapters show how Python is used in specific application areas such as the web, database, networks, and so on, read them in any order you like. Chapter 1 this chapter explain different basic topic related Python programming. Chapter 2 in this chapter define Python operator. Chapter 3 in this chapter define looping statement. Chapter 4 in this chapter define Python function.
Название: AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0 Автор: Syed Saad, Syed Ammad, Kumeel Rasheed Издательство: CRC Press Год: 2025 Страниц: 289 Язык: английский Формат: pdf (true) Размер: 11.7 MB
This book explores the transformative impact of Artificial Intelligence (AI) on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science. As an academic exploration, this book navigates the ever-evolving landscape of Artificial Intelligence’s (AI) influence on modern materials within the Industry 4.0 era. The comprehensive nature of this work is rooted in the foundational principles and realistic applications of AI, focusing on its integration into material science and construction practices. Our collective goal in crafting this collection stems from a recognition of the widening breach between academic literature and industry-centric publications within the AI and materials science domain. AI has become an industry-wide revolutionary force in the context of Industry 4.0. The book presents a solid case for continuing the investigation of AI in the field of material science through this academic and professional introduction, opening the door for readers to learn about the revolutionary possibilities that lie at the intersection of AI and the construction industry. Learning about Artificial Intelligence, the fundamental concepts and tenets of AI are covered in this section. It examines the idea of AI, the distinctions between specific and general AI, and the many methods and algorithms used in systems that use AI. Readers can comprehend AI’s possible uses and consequences in the setting of material science by developing a solid comprehension of the technology. AI represents one of the most transformative and interesting fields in ultramodern technology and computer wisdom.
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