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Recent Developments in Theory and Applications of Fractional Order Systems presents a rigorous and thorough analysis of various aspects of Fractional Calculus. The book provides readers with a thorough understanding of fundamental concepts and methods of applied mathematics utilized in a variety of scientific and engineering disciplines. The authors present each computational modeling concept with a definition, methods, theorems, and observations followed by typical application problems and step-by-step solutions. Each topic is covered in detail, followed typically by several meticulously worked out examples and a problem set containing many additional related problems. In addition, the book discusses recent developments and the latest research on Fractional Calculus and its applications, demonstrating important applications in Engineering, Computer Science, Management, Social Science, and the Humanities.

The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practical applications, but this book argues that the larger significance of such models is contained in what they suggest about human cognition. To explore this potential, the book develops a thought experiment called the Prediction Room, a reference to John Searle's influential Chinese Room argument, in which a human agent processes language by following a set of opaque written rules without possessing an inherent understanding of the language. The book proposes a new Room model-the Prediction Room with its resident Prediction Agent-generalizing the working of large language models. Working through a wide range of topics in cognitive science, the book challenges the conclusion of Searle's thought experiment, that discredited contemporary artificial intelligences (AI), through the suggestion that the Prediction Room offers a means of exploring how new ideas in AI can provide productive alternatives to traditional understandings of human cognition. In considering the implications of this, the book reviews an array of topics and issues in cognitive science to uncover new ideas and reinforce older ideas about the mental mechanisms involved in both sides. The discussion of these topics in the book serves two purposes. First, it aims to stimulate new thinking about familiar topics like language acquisition or the nature and acquisition of concepts. Second, by contrasting human psychology with the form of artificial psychology these models exhibit, it uncovers how new directions in the development of these systems can be better explored.In addition, this book: Evaluates PLLMs using cognitive science to reflect on implications for human cognition Explores how PLLMs reinforce and suggest new ideas about mental mechanisms of cognition Utilizes cognitive model theories to test limits of understanding large language models

This collection, arriving in the wake of the 25th anniversary of 1998's Metal Gear Solid, provides scholars and fans alike with a wide-ranging selection of critical essays on the franchise from diverse disciplinary and thematic perspectives.With the conclusion of Hideo Kojima's Metal Gear Solid video game series only recently behind us, it is now both possible and essential to study this critically, commercially, and culturally resonant series as a whole. The essays contained in this volume, which are all new contributions from both established and emerging scholars, take up this crucial opportunity to consider and reconsider the cultural, historical, political, philosophical, and aesthetic impact of the Metal Gear Solid games in analyses spanning the series' canonical entries, adding to the understanding of both well-studied installments and under- examined ones. These contributions connect themes that emerge from the games-such as sexuality and queerness, rhetoric and ethics, and subjectivity and embodiment-while also demonstrating how the series opens up broader questions about ecology, race, gender, militarization, pedagogy, and game design, that demand continued analysis and application. Each essay develops new avenues for theoretical, rhetorical, and political exploration of the Metal Gear Solid series, for Game Studies, and for the study of Popular Culture writ large. As the first collection of critical inquiries into the Metal Gear Solid series, this volume serves as crucial exegesis of and critical companion to any future study of the series by celebrating, critiquing, and critically interrogating its entries' rich cultural and disciplinary import.

The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.

Humanity has always craved, and feared, information. Alicia Wanless offers a fresh understanding of the relationship between people, technology and knowledge, today and throughout history.

This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outcomes. This book explores the transformative potential of explainable artificial intelligence (XAI) and responsible AI (RAI) in healthcare. It provides a roadmap for navigating the complexities of healthcare-based AI while prioritizing patient safety and well-being. The content is structured to highlight topics on smart health systems, neuroscience, diagnostic imaging, and telehealth. The book emphasizes personalized treatment and improved patient outcomes in various medical fields. In addition, this book discusses osteoporosis risk, neurological treatment, and bone metastases. Each chapter provides a distinct viewpoint on how XAI and RAI approaches can help healthcare practitioners increase diagnosis accuracy, optimize treatment plans, and improve patient outcomes. Readers will find the book: explains recent XAI and RAI breakthroughs in the healthcare system; discusses essential architecture with computational advances ranging from medical imaging to disease diagnosis; covers the latest developments and applications of XAI and RAI-based disease management applications; demonstrates how XAI and RAI can be utilized in healthcare and what problems the technology faces in the future. Audience The main audience for this book is targeted to scientists, healthcare professionals, biomedical industries, hospital management, engineers, and IT professionals interested in using AI to improve human health.

Ignite your creativity with Photoshop Elements Introducing the latest edition of Photoshop Elements 2025 For Dummies, updated for the newest version of Adobe's affordable and beginner-friendly photo editing software. With this comprehensive guide at your fingertips, you'll unlock the potential of Elements, turning ordinary photos into extraordinary images. Packed with all the essential photo editing tools, this software empowers you to brush up snapshots, create like-worthy social media posts, and create artistic masterpieces. In this easy-to-understand guide, you'll find instructions on using editing tools, working with layers, making one-click fixes, brightening colors, adding filters, and beyond. Master the basics of Photoshop Elements and make basic edits in Quick Mode Learn advanced editing techniques such as background replacement, stylize type, apply blend modes, social meda sharing, and other creative tricks, Discover the latest AI features such as depth of field, change object color, and combine photos Utilize camera raw to transform your camera's image data into stunning photographs Perfect for non-professional photographers and graphic designers new to Elements or looking for a refresh, this best-selling Dummies guide is your essential companion for getting started with Elements and learning insider tips to create images that "pop."

The book will also summarize various protocols that work based on learning strategies and applied intelligence in the context of IoT environments.

DESCRIPTION Kotlin, a modern and expressive language, has revolutionized Android app development. As the app complexity grows, building scalable and maintainable Android apps becomes crucial. This book is a complete guide to modern Android app development using Kotlin. It covers key concepts like clean architecture and dependency injection for building strong, maintainable apps. This book will also help you learn how to use Kotlin DSL for build configuration and Jetpack Compose for creating user interfaces. It also covers testing, debugging, networking, and API integration. With best practices and real-world examples, this book will help developers create high-quality Android apps using Kotlin.By the end of this book, you will be equipped with the knowledge and skills to architect, develop, and deploy scalable Android apps using Kotlin. You will confidently tackle complex app development challenges, write clean, efficient, and testable code, and become a proficient Android developer.WHAT YOU WILL LEARN¿ Kotlin and Jetpack Compose fundamentals.¿ Feature-oriented separation of concerns.¿ Clean-code architecture in Android.¿ Kotlin-specific test-driven development.¿ Multi-module project organization.¿ Tips and techniques for debugging.¿ Continuous integration and releasing applications.WHO THIS BOOK IS FORThis book can be understood by novice developers but will also benefit intermediate/seasoned professionals in the Android space. This book is a must-have for Android developers, software engineers, and mobile app developers striving to create exceptional applications.

DESCRIPTION Streamlit Essentials is a comprehensive guide aimed at helping you build interactive data applications using Python. With easy-to-use syntax, it allows developers to quickly build visualizations, dashboards, and machine learning models.This book is a practical guide to building data science applications using the Streamlit framework. It covers everything from installation to advanced topics like ML integration and deployment. With real-world projects and examples, you will learn how to use Streamlit's widgets, styling, and data visualization tools to create dynamic real-time dashboards, containerize your applications with Docker, securely handle sensitive data, and deploy the applications on leading cloud platforms, all while building practical projects that can be added to enhance your portfolio.Throughout the book, you will develop the skills needed to turn data insights into interactive visualizations, ensuring your projects are not only functional but also engaging. The focus is hands-on learning, with step-by-step guidance to help you build, optimize, and share your work. By the time you have completed this book, you will be able to confidently deploy applications, showcase your skills through a professional portfolio, and position yourself for success. WHAT YOU WILL LEARN¿ Understanding of Streamlit's capabilities, from its core functionalities to advanced features.¿ Create engaging and informative visualizations using Streamlit's extensive library of charts, graphs, and maps.¿ Develop efficiently using time-saving techniques for rapid prototyping and iterative development.¿ Optimize app performance with advanced topics like caching, session tracking, and theming.¿ Create a compelling portfolio to demonstrate your Streamlit proficiency.WHO THIS BOOK IS FORWhether you are a data scientist, analyst, developer, or business professional, this book will provide you with the knowledge and skills needed to build engaging and informative dashboards, visualizations, and ML models.

A practical guide to AI applications for Simple Python and Matlab scripts Machine Learning and AI with Simple Python and Matlab Scripts introduces basic concepts and principles of machine learning and artificial intelligence to help readers develop skills applicable to many popular topics in engineering and science. Step-by-step instructions for simple Python and Matlab scripts mimicking real-life applications will enter the readers into the magical world of AI, without requiring them to have advanced math and computational skills. The book is supported by instructor only lecture slides and sample exams with multiple-choice questions. Machine Learning and AI with Simple Python and Matlab Scripts includes information on: Artificial neural networks applied to real-world problems such as algorithmic trading of financial assets, Alzheimer's disease prognosis Convolution neural networks for speech recognition and optical character recognition Recurrent neural networks for chatbots and natural language translators Typical AI tasks including flight control for autonomous drones, dietary menu planning, and route planning Advanced AI tasks including particle swarm optimization and differential and grammatical evolution as well as the current state of the art in AI tools Machine Learning and AI with Simple Python and Matlab Scripts is an accessible, thorough, and practical learning resource for undergraduate and graduate students in engineering and science programs along with professionals in related industries seeking to expand their skill sets.

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to access valuable business data. OAuth is a popular way to address this issue, but this open standard doesn't provide sufficient guidelines for using API tokens to protect business data. That alone can lead to vulnerabilities and invite data breaches. By using cloud native components in Kubernetes or similar platforms, organizations can implement a scalable, future-proof security architecture for their systems that follows a zero-trust approach to protect business data. You'll access tokens, claims, and token design with an emphasis on an API-first approach. This book takes readers through an end-to-end security architecture that scales to many components in a cloud native environment, while only requiring simple security code in applications and APIs. You'll learn: Why user identity must be part of your cloud native security stack How to integrate user identity into APIs How to externalize security, secure data access, and authenticate clients using OAuth Methods for running security components in a Kubernetes cluster How to use claims to protect business data in APIs How to follow security best practices for client applications and APIs

Organizations are increasingly vulnerable as attack surfaces grow and cyber threats evolve. Addressing these threats is vital, making attack surface management (ASM) essential for security leaders globally. This practical book provides a comprehensive guide to help you master ASM. Cybersecurity engineers, system administrators, and network administrators will explore key components, from networks and cloud systems to human factors. Authors Ron Eddings and MJ Kaufmann offer actionable solutions for newcomers and experts alike, using machine learning and AI techniques. ASM helps you routinely assess digital assets to gain complete insight into vulnerabilities, and potential threats. The process covers all security aspects, from daily operations and threat hunting to vulnerability management and governance. You'll learn: Fundamental ASM concepts, including their role in cybersecurity How to assess and map your organization's attack surface, including digital assets and vulnerabilities Strategies for identifying, classifying, and prioritizing critical assets Attack surfaces types, including each one's unique security challenges How to align technical vulnerabilities with business risks Principles of continuous monitoring and management to maintain a robust security posture Techniques for automating asset discovery, tracking, and categorization Remediation strategies for addressing vulnerabilities, including patching, monitoring, isolation, and containment How to integrate ASM with incident response and continuously improve cybersecurity strategies ASM is more than a strategy--it's a defense mechanism against growing cyber threats. This guide will help you fortify your digital defense.

Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. Part 1 takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part 2 teaches you to consume APIs in a data science project using industry-standard tools. And in Part 3, you'll use ChatGPT, the LangChain framework, and other tools to access your APIs with generative AI and large language models (LLMs). As you complete the chapters in the book, you'll be creating a professional online portfolio demonstrating your new skill with APIs, AI, and data science. You'll learn how to: Design APIs that data scientists and AIs love Develop APIs using Python and FastAPI Deploy APIs using multiple cloud providers Publish a developer portal for your API Create data science projects such as visualizations and models using APIs as a data source Access APIs using generative AI and LLMs Author Ryan Day is a data scientist in the financial services industry and an open source developer.

This cookbook shows data engineers, data scientists, data analysts, and cloud architects how to use Dataproc, integrated with Google Cloud, for data lake modernization, ETL, and secure data science at a fraction of the cost.

Learn how to manage Kubernetes clusters and application configurations with Argo CD, the easy-to-use open source GitOps engine. With this practical book, development teams will quickly gain a foundational understanding of Argo CD for deploying and managing containerized applications - without having to be a Kubernetes expert, and without needing full access to the Kubernetes system. With the adoption of Kubernetes, the ability to effectively manage platform configurations has become a paramount concern. Authors Andrew Block from Red Hat and Christian Hernandez from Akuity show you how to apply GitOps practices with Argo CD to manage one or even thousands of Kubernetes environments with confidence. You'll start with a basic understanding of the Argo CD technology and quickly learn how to achieve faster and more secure deployments. With this book, you will: Learn the basics of applying GitOps principles to your Kubernetes environments Use Argo CD to manage Kubernetes configurations as well as the applications you deploy to the platform Manage the configurations of a single Kubernetes cluster or thousands of clusters Deploy Kubernetes resources using tools such as Kustomize and Helm Understand the importance of managing sensitive material and resources

Quantum computing is at the forefront of technological innovation. This book explains its principles, practical applications, and future implications in a clear and accessible manner. It takes readers on a journey from the fundamental principles of quantum mechanics to practical applications.

Modern Computational Methods for Fractional Differential Equations provides a comprehensive introduction to the fundamentals of fractional calculus, covering a range of analytical and numerical methods designed for fractional calculus problems to explain the step-by-step implementation and computational aspects of these methods.

The proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023) explores the processes that ensure safe operation of equipment and guarantee longer product life cycles. The papers highlight how big data and machine learning make equipment operation highly automated and ingenious.

This book explores the potential of Artificial Intelligence (AI) to transform public relations and offers guidance on maintaining authenticity in this new era of communication.

This book explores the potential of Artificial Intelligence (AI) to transform public relations and offers guidance on maintaining authenticity in this new era of communication.