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Stay informed about recent trends and groundbreaking research driving innovation in the AI-IoT landscape. AI, a simulated form of natural intelligence within machines, has revolutionized various industries, simplifying daily tasks for end-users. This book serves as a handy reference, offering insights into the latest research and applications where AI and IoT intersect. The book includes 12 edited chapters that provide a comprehensive exploration of the synergies between AI and IoT. The contributors attempt to address engineering opportunities and challenges in different fields. Key Topics: AI and IoT in Smart Farming: Explore how these technologies enhance crop yield and sustainability, revolutionizing agricultural practices. AIoT (Artificial Intelligence of Things): Understand the amalgamation of AI and IoT and its applications, particularly focusing on smart cities and agriculture. Smart Healthcare and Predictive Disease Analysis: Uncover the crucial role of AI and IoT in early disease prediction and improving healthcare outcomes. Applications of AI in Various Sectors: Explore how AI contributes to sustainable development, sentiment analysis, education, autonomous vehicles, fashion, virtual trial rooms, and more. Each chapter has structured sections with summaries and reference lists, making it an invaluable resource for researchers, professionals, and enthusiasts keen on understanding the potential and impact of these technologies in todays rapidly evolving world.

This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether youre a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, big data, and cloud computing.

The book gives a comprehensive overview of the evolving landscape of cyber-physical systems (CPS) with a primary focus on security challenges and innovative solutions. CPS, encompassing a wide array of applications from e-Health to smart grid and industry automation, is explored in depth through eight edited reviews. The book starts with an exploration of various threat detection and prevention techniques in IoT environments, followed by discussions on security in smart grid cyber-physical systems, and the integration of cyber-physical systems with game theory. It also covers important topics such as cyber-physical systems in healthcare, augmented reality challenges, network and computer forensic frameworks, and a review of industrial critical infrastructure perspectives. The journey from traditional data warehouses to data lakes is thoroughly examined, shedding light on the evolution of data storage methods. The final chapter explains intrusion detection in industrial critical infrastructure, reviewing feature selection and classification models. By navigating through these topics, the book equips readers with a comprehensive understanding of cybersecurity challenges and solutions in an era of automation and IoT technologies.This book is intended for a diverse readership, including professionals, researchers, and technology enthusiasts keen on exploring the intricacies of CPS, IoT security, data storage evolution, and industrial infrastructure protection. Key Features: Analytical insights into cyber-physical systems security. Thorough exploration of threat detection and prevention techniques. Application-focused chapters covering smart grid, healthcare, and more. Integration of game theory and augmented reality in cyber-physical systems. Comprehensive overview on network and computer forensic frameworks. ReadershipComputer science students; Cybersecurity graduates and trainees; academics, researchers and industry professionals interested in understanding and utilizing cyber-physical systems.

Los datos están en el centro de muchos desafíos que se presentan actualmente en el diseño de sistemas. Hay que resolver cuestiones complejas, como la escalabilidad, la coherencia, la fiabilidad, la eficiencia y el mantenimiento. Ademas, existe una abrumadora variedad de herramientas, incluyendo bases de datos relacionales, almacenes de datos NoSQL, procesadores de flujo o por lotes y gestores de mensajes. ¿Cuales son las opciones correctas para nuestra aplicacion? ¿Como podemos entender todos estos conceptos que estan de moda? En esta guia practica, el autor Martin Kleppmann le ayuda a navegar por este variado panorama examinando los pros y los contras de las distintas tecnologias destinadas al procesamiento y almacenamiento de datos. El software cambia constantemente, pero los principios fundamentales siguen siendo los mismos. Con este libro, los ingenieros y arquitectos de software aprenderan a aplicar esas ideas en la practica y a aprovechar al maximo los datos en las aplicaciones modernas."Analizar detalladamente el funcionamiento interno de los sistemas que ya utiliza, aprender a operar con ellos y utilizarlos con mayor eficacia. "Adoptar decisiones informadas, identificando los puntos fuertes y debiles de las diferentes herramientas."Encontrar el equilibrio en relacion con la coherencia, la escalabilidad, la tolerancia a fallos y la complejidad de las aplicaciones. "Comprender la investigacion sobre sistemas distribuidos en la que se fundamentan las bases de datos modernas."Echar un vistazo a lo que hay entre bambalinas en los principales servicios online y aprender de sus arquitecturas. Martin Kleppmann es investigador de sistemas distribuidos en la Universidad de Cambridge, Reino Unido. Antes desarrollo las funciones de ingeniero de software y empresario en empresas de Internet como Linkedln y Rapportive, donde trabajo en infraestructuras de datos a gran escala. Martin imparte habitualmente conferencias, es bloguero y desarrollador de codigo abierto.

Los sistemas de aprendizaje automático, en inglés Machine Learning, implican el uso de métodos, algoritmos y procesos complejos que constan de muchos componentes diferentes; además, dependen de datos que varian considerablemente de un caso a otro. Con este libro aprendera un metodo integral para diseñar sistemas de aprendizaje automatico fiables, escalables, faciles de mantener y adaptables a los entornos dinamicos y a los requisitos empresariales.La autora Chip Huyen, cofundadora de Claypot AI, considera cada decision de diseño en su contexto para determinar la manera como este puede ayudar a su sistema. Analiza desde como procesar y crear datos de formacion, hasta que atributos utilizar, con que frecuencia volver a formar los modelos y que elementos supervisar.En el marco iterativo de este libro se utilizan estudios de casos reales respaldados por referencias amplias que le ayudaran a alcanzar sus objetivos. Asi pues, gracias a esta lectura conocera:"La ingenieria de datos y la eleccion de las metricas adecuadas para resolver un problema empresarial."La automatizacion del proceso de desarrollo, evaluacion, instalacion y actualizacion de los modelos."El desarrollo de un sistema de supervision para detectar y resolver rapidamente los problemas que pueda encontrarse con sus modelos en funcionamiento."La arquitectura de una plataforma de aprendizaje automatico que sirva para todos los casos."El desarrollo de sistemas de aprendizaje automatico responsables.Chip Huyen es cofundadora de Claypot AI, una plataforma de aprendizaje automatico en tiempo real. A traves de su trabajo en NVIDIA, Netflix y Snorkel AI, ha ayudado a algunas de las organizaciones mas grandes del mundo a desarrollar e implementar sus sistemas de aprendizaje automatico. Chip baso este libro en sus apuntes para CS 329S: Diseño de Sistemas de Aprendizaje Automatico, un curso que imparte en la Universidad de Stanford."Este es, sencillamente, el mejor libro que se puede leer sobre como construir, implementar y extender los modelos de aprendizaje automatico en una empresa para lograr un impacto maximo".-Josh Wills Ingeniero de software en WeaveGrid y exdirector de ingenieria de datos, Slack"En un ecosistema floreciente pero caotico, esta vision de principios sobre el aprendizaje automatico de principio a fin es tanto su mapa como su brujula: una lectura obligada para los profesionales dentro y fuera de los gigantes tecnologicos".-Jacopo TagliabueDirector de IA, Coveo

This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients. It presents 5 concise chapters showing how these technologies can empower the conventional doctor patient relationship in a more dynamic, transparent, and personalized manner. The key topics covered in this book include: - The Role of Deep Learning in Healthcare Industry: Limitations - Generative Adversarial Networks for Deep Learning in Healthcare - The Role of Blockchain in the Healthcare Sector - Brain Tumor Detection Based on Different Deep Neural Networks Key features include a thorough, research-based overview of technologies that can assist deep learning models in the healthcare sector, including architecture and industrial scope. The book also presents a robust image processing model for brain tumor screening. Through this book, the editors have attempted to combine numerous compelling views, guidelines and frameworks. Healthcare industry professionals will understand how Deep Learning can improve health care service delivery.

Amazon Web Services: A Comprehensive Guide for Beginners and Advanced Users is your go-to companion for learning and mastering AWS. It presents 10 easy-to-read chapters that build a foundation for cloud computing while also equipping readers with the skills necessary to use AWS for commercial projects. Readers will learn how to use AWS cloud computing services for seamless integrations, effective monitoring, and optimizing cloud-based web applications. What you will learn from this guide: 1. Identity and Access Management in AWS: Learn about IAM roles, security of the root account, and password policies, ensuring a robust foundation in access management. 2. Amazon EC2 Instance: Explore the different types of EC2 instances, pricing strategies, and hands-on experiences to launch, manage, and terminate EC2 instances effectively. This knowledge will help to make informed choices about pricing strategies. 3. Storage Options and Solutions: A detailed examination of storage options within Amazon EC2 instances. Understanding Amazon Elastic Block Store (EBS), Amazon Elastic File Storage (EFS), and more, will enhance your ability to handle data storage efficiently. 4. Load Balancing and Auto Scaling: Learn about different types of load balancers and how auto-scaling groups operate, to master the art of managing varying workloads effectively. 5. Amazon Simple Storage Service (S3): Understand S3 concepts such as buckets, objects, versioning, storage classes, and practical applications. 6. AWS Databases and Analytics: Gain insights into modern databases, AWS cloud databases, and analytics services such as Amazon Quicksight, AWS Glue, and Amazon Redshift. 7. Compute Services and Integrations: Understand the workings of Docker, virtual machines, and various compute services offered by AWS, including AWS Lambda and Amazon Lightsail, Amazon MQ and Amazon SQS. 8. Cloud Monitoring: Understand how to set up alarms, analyze metrics, and ensure the efficient monitoring of your cloud environment using Amazon CloudWatch and CloudTrail. Key Features: Comprehensive Introduction to Cloud Computing and AWS Guides readers to the complete set of features in AWS Easy-to-understand language and presentation with diagrams and navigation guides References for further reading Whether youre a student diving into cloud specialization as part of your academic curriculum or a professional seeking to enhance your skills, this guide provides a solid foundation for learning the potential of the AWS suite of applications to deploy cloud computing projects.

This reference reviews the architectural requirements of IT systems that are designed to digitally transform business operations. It is a compilation of 7 timely reviews that demonstrate how adopting emerging technologies and examining the security-based concerns can lead to innovation in the business sector. The aim of the book is to guide scholars and business consultants on IT and business frameworks that can help new and existing organizations navigate the challenges posed by disruptive technologies to create a competitive advantage. The reviews are contributed by experts in business and information technology.The chapters cover diverse topics related to technological advancements and digital security measures. Chapter 1 offers insights into accessing and securing patient medical records through a blockchain-based framework, detailing research methodology, scalability, and standards. Chapter 2 discusses cyber threats in IoT-connected cars, addressing vulnerabilities, attack methods, and defense strategies. Chapter 3 focuses on malware analysis and detection using machine learning techniques. Chapter 4 emphasizes on securing IoT-based home automation. Chapter 5 presents an IoT policy and governance reference architecture to ensure integrity and security across devices. Chapter 6 explores organizational security improvements to prevent deepfake ransomware. Finally, Chapter 7 examines the use of machine learning in credit card fraud detection, discussing challenges and control layers. Readership Scholars, academics, business consultants, entrepreneurs.

This volume explores IoT architectures, their configuration, and operability in wireless sensor networks. The topics are spread across nine structured chapters covering fundamental and applied knowledge about wireless sensor networks using IoT devices. The book starts with an introduction to the subject, giving readers a quick overview of IoT enabled networks and bio-inspired approaches towards network design. This is followed by chapters explaining optimized routing protocols for accident detection, efficiency and performance analysis. The book concludes with four chapters dedicated to security applications of wireless networks, for homes, urban areas and businesses. Overall, the volume gives a balance of theoretical and practical information for readers. The book is intended as a resource for graduate and postgraduate students for understanding network design for home and embedded applications, specifically using single board computing devices. It also serves as a guide for networking courses and assessments. Readership Graduate and post graduate students and faculty members in the field of networking and IoT.

This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications

This textbook provides a quick and easy understanding of multistage interconnection networks (MINs) for engineers. The book contents focus on the design, performance metrics, and evaluation of these networks which are crucial in modern computer architecture. The contents equip engineering students, apprentices and professionals with in-depth knowledge and analysis of MINS, enabling them to build complex computer architectures for efficient data communications and cost effective solutions for circuit design. The book starts with an introduction to MINS and subsequently progresses to the evaluation of a range of MINS (SEN, Gamma-Minus, FTSN, FTGN, SEGIN). Key highlights of the book include: · Easy to understand notes on design, reliability and fault tolerance · Covers a wide range of MIN types with notes on design variants · Supplementary information aiding comprehension of the main content. · A curated list of references for further exploration and deeper understanding.

Budget Optimization and Allocation: An Evolutionary Computing Based Model is a guide for computer programmers for writing algorithms for efficient and effective budgeting. It provides a balance of theory and practice. Chapters explain evolutionary computational techniques (genetic algorithms) and compare these techniques with traditional approaches to budget allocation. A case study on the complex and broad problem of union budgeting of India is presented. The macro and micro economic issues specific to the case discussed, with the growth rate being the final aim of the budget exercise. The authors also present a comparison of the budget allocation practices of different countries, consistent with other factors such as their local economy, culture, population, etc. The use of evolutionary computation to tackle incremental budgeting is also presented. Readers will be able to understand the synergies of modern computational techniques with tried and tested budgeting models. Budget Optimization and Allocation: An Evolutionary Computing Based Model is a useful reference for graduate students, business enterprise programmers, and evolutionary computing/AI researchers who seek to understand new methods of budgeting.

This book provides a single platform for beginners in systems engineering to start Arduino interface projects with MATLAB. It covers the basics of the programming with Arduino and Arduino interfacing with MATLAB (with and without the use or I/O packages) in 3 sections, respectively. Key features: -introduces readers to Arduino IDE, Proteus simulation modeling, Arduino interfaces with display devices, sensor interfaces (both digital and analog), actuators, MATLAB GUIs, digital read/write systems with I/O interfaces and automation systems.-organized layout for a reader friendly experience-provides detailed circuit diagrams -provides relevant simulation modeling instructions This is an ideal book for engineering students and system designers for learning the basic programming and simulation of Arduino and MATLAB based real time project prototypes.

This handbook is a concise yet complete guide to fundamental engineering requirements and quality characteristics that users, developers, and marketers of mobile applications should be aware of. It provides detailed definitions and descriptions of eight key software application features that are integral to the overall design and user experience goals, and which may often overlap with certain functionalities. The book explains the essential aspects of these features clearly to novice developers. Readers will also learn about how to optimize the listed features to tailor their applications to the needs of their users. Key Features: - Presents detailed information about eight different features which guide mobile application development: capability, reliability, usability, charisma, security, performance, mobility and compatibility - Reader-friendly, structured layout of each chapter including relevant illustrations and clear language, designed for quick learning - Focus on both software function and user perception of applications on mobile devices - Includes a handy appendix with information about mobile learning projects and related work packages Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features is the ideal learning tool for novice software developers, computer science students, IT enthusiasts and marketers who want to design or develop mobile apps for an optimal user experience.

Questo testo propone un percorso didattico che, procedendo attraverso esempi, esercizi e problemi di difficolta crescente, presenta gli elementi fondamentali del linguaggio di programmazione C e, al tempo stesso, si sofferma ad analizzare gli aspetti algoritmici e di efficienza computazionale che conducono alla progettazione di soluzioni efficaci ed eleganti. Non si tratta dunque di un manuale sul linguaggio C, ma sarebbe riduttivo considerarlo come una semplice raccolta di esercizi. Litinerario suggerito nelle pagine di questo volume alterna continuamente la descrizione di nuove istruzioni e di nuove funzioni di libreria, a riflessioni di carattere metodologico per evidenziare le scelte progettuali adottate nella soluzione dei problemi proposti.

Obiettivo del volume e fornire al lettore le nozioni fondamentali sulla tecnologia delle basi di dati relazionali. Lapproccio e costruttivo poiche, oltre a fornire gli strumenti teorici di base, mira a stimolare lanalisi critica, anche di tipo sperimentale, di differenti soluzioni ai problemi. Ampio spazio e dedicato allesposizione delle principali organizzazioni di dati in memoria di massa; il testo descrive il modello relazionale, elementi di teoria delle dipendenze e il linguaggio SQL. Viene anche fornita una visione organica delle problematiche riguardanti i costi di esecuzione delle transazioni, la gestione degli accessi concorrenti la protezione dei dati da malfunzionamenti, aspetti di importanza fondamentale per la progettazione logico-fisica di basi di dati.

Man in the Browser e? il primo libro dedicato interamente allomonimo attacco informatico. Diversi professionisti hanno collaborato alla redazione del presente volume e grazie alle loro diverse specializzazioni, e? stato possibile approfondire questa pericolosa aggressione sia dal punto di vista informatico che da quello giuridico.

Hoy en día, los ingenieros de software necesitan saber no solo cómo programar eficazmente, sino también cómo desarrollar prácticas de ingeniería para que la base de código sea sostenible y funcione bien. Este libro hace hincapie en esta diferencia, entre la programacion y la ingenieria de software. ¿Como pueden gestionar los ingenieros de software una base de codigo viva que evoluciona y responde a requisitos y demandas cambiantes a lo largo de su vida?A partir de su experiencia en Google, los ingenieros de software Titus Winters y Hyrum Wright, junto con el escritor tecnico Tom Manshreck, presentan una mirada sincera y perspicaz sobre como construyen y mantienen el software algunos de los principales profesionales del mundo.Este libro trata de la cultura, los procesos y las herramientas de ingenieria exclusivas de Google, y de como estos aspectos contribuyen a la eficacia de una organizacion de ingenieria de software. Explorara tres principios fundamentales que las organizaciones de software deben tener en cuenta a la hora de diseñar, establecer la arquitectura, escribir y mantener el codigo: Como afecta el tiempo a la sostenibilidad del software y como hacer que su codigo resista el paso del tiempo. Como afecta la escala a la viabilidad de las practicas de software dentro de una organizacion de ingenieria de software. Que contrapartidas debe tener en cuenta el ingeniero de software al evaluar las decisiones de diseño y los desarrollos.

Android es la plataforma libre para el desarrollo de aplicaciones móviles creada por Google. En la actualidad se ha convertido en la plataforma líder frente a otras como iPhone o Windows Phone. Las aplicaciones Android estan ampliando su rango de influencia a nuevos dispositivos tales como tabletas, internet de las cosas, Wearables, TV o automoviles.Si quieres introducirte en la programacion Android, has llegado al libro indicado. Todos sus capitulos estan descritos por medio de ejemplos, cuyo nivel de complejidad aumenta a medida que avanza la lectura. A lo largo del libro se desarrollan dos aplicaciones de ejemplo: el mitico videojuego Asteroides y una aplicacion de gestion de informacion personal, Mis Lugares*. Se comienza con una version sencilla, que se ira completando capitulo a capitulo, para que incluya fragments, graficos vectoriales y mapa de bits, control mediante pantalla tactil y sensores, hilos con AsyncTask, notificaciones, geolocalizacion, mapas, multimedia, ficheros, XML, JSON, SQL, acceso a Internet, servicios Web, acceso a bases de datos en servidor PHP + MySQL, Volley El libro propone un aprendizaje activo, con actividades, muchas a traves de Internet: Video[Tutorial]: Mas de 100 videos elaborados por el autor. Kotlin: Aprende el nuevo lenguaje de programacion para Android. Ejercicio paso a paso: La mejor forma de aprender es practicando. Practica: Para afianzar lo aprendido hay que practicar. Solucion: Te sera de ayuda si tienes problemas en las practicas. Recursos adicionales: Localiza rapidamente la informacion clave. Preguntas de repaso y reflexion: ¿Lo has entendido todo correctamente? No esperes mas: tanto si eres un usuario con poca experiencia como un programador experimentado, con este libro perfeccionaras tu programacion Android.Jesus Tomas es doctor en informatica, profesor titular del Departamento de Comunicaciones en la Universidad Politecnica de Valencia. Trabaja en multiples proyectos de investigacion y transferencia de tecnologia relacionados con inteligencia artificial. Ha publicado gran cantidad de trabajos en revistas cientificas y varios libros didacticos sobre nuevas tecnologias. Tiene una amplia experiencia impartiendo cursos de formacion para empresas.

Building Tomorrows Systems Today the Rust WayKey Features? Learn how to use Rust libraries effectively for various applications and projects.? Go from basics to advanced system-building skills for stronger and reliable outcomes.? Secure your Rust applications confidently with expert tips for enhanced protection.Book DescriptionThis book is your guide to mastering Rust programming; equipping you with essential skills and insights for efficient system programming. It starts by introducing Rusts significance in the system programming domain and highlighting its advantages over traditional languages like C/C++. Youll then embark on a practical journey; setting up Rust on various platforms and configuring the development environment. From writing your first "Hello; World!" program to harness the power of Rusts package manager; Cargo; the book ensures a smooth initiation into the language.Delving deeper; the book covers foundational concepts; including variables; data types; control flow; functions; closures; and crucial memory management aspects like ownership; borrowing; and lifetimes. Special attention is given to Rusts strict memory safety guarantees; guiding you in writing secure code with the assistance of the borrow checker.The book extends its reach to Rust collections; error-handling techniques; and the complexities of concurrency management. From threads and synchronization primitives like Mutex and RwLock to asynchronous programming with async/await and the Tokio library; youll gain a comprehensive understanding of Rusts capabilities. This book covers it all.What you will learn? Learn how to set up the Rust environment effortlessly; ensuring a streamlined development process.? Explore advanced concepts in Rust; including traits; generics; and various collection types; expanding your programming expertise.? Master effective error-handling techniques; empowering you to create custom error types for enhanced code robustness.? Tackle the complexities of memory management; and smart pointers; and delve into the complexities of concurrency in Rust.? Gain hands-on experience by building command-line utilities; sharpening your practical skills in real-world scenarios.? Master the use of iterators and closures; ensuring code reliability through comprehensive unit testing practices.Who is this book for?This book is tailored for aspiring programmers; software developers; system engineers; and computer scientists looking to dive into system programming with Rust. It caters to a broad spectrum of individuals and professionals interested in leveraging Rusts power to build robust and efficient applications. While no prior experience with Rust is necessary; a basic understanding of programming concepts and familiarity with at least one programming language would be beneficial.Table of Contents1. Systems Programming with Rust2. Basics of Rust3. Traits and Generics4. Rust Built-In Data Structures5. Error Handling and Recovery6. Memory Management and Pointers7. Managing Concurrency8. Command Line Programs9. Working with Devices I/O in Rust10. Iterators and Closures11. Unit Testing in Rust12. Network Programming13. Unsafe Coding in Rust14. Asynchronous Programming15. Web Assembly with Rust Index