Ebooks de informática, página 3 de 226

Emerging Technologies for Digital Infrastructure Development is a comprehensive and insightful book that reviews the transformative impact of cutting-edge technologies on the digital landscape. It presents 16 topics, from e-commerce consumer behavior to AI applications in healthcare and cybersecurity, this book offers a detailed overview of the role of technology in shaping the modern world. With a focus on bridging the digital divide in education, the book presents innovative solutions to contemporary challenges. The editors also emphasize the importance of privacy and security in an interconnected world by discussing cybersecurity measures and threat detection strategies. The book serves as a valuable resource for technology professionals, researchers, and academics, offering a deep dive into the latest trends and applications in digital infrastructure. It also caters to business leaders, policy makers, and students seeking to understand the transformative potential of emerging technologies.

This book explores the dynamic intersection of three cutting-edge technologiesArtificial Intelligence (AI), Internet of Things (IoT), and Cloud Computingand their profound impact on diverse domains. Beginning with an introduction to AI and its challenges, it delves into IoT applications in fields like transportation, industry 4.0, healthcare, and agriculture. The subsequent chapter explores AI in the cloud, covering areas such as banking, e-commerce, smart cities, healthcare, and robotics. Another section investigates the integration of AI and IoT-Cloud, discussing applications like smart meters, smart cities, smart agriculture, smart healthcare, and smart industry. Challenges like data privacy and security are examined, and the future direction of these technologies, including fog computing and quantum computing, is explored. The book concludes with use cases that highlight the real-world applications of these transformative technologies across various sectors. Each chapter is also supplemented with a list of scholarly references for advanced readers.The book is intended primarily as a resource for students in information technology and technology courses. And as a secondary resource for industry professionals who want to learn about these technologies in the context of digital transform

Affective computing is an emerging field situated at the intersection of artificial intelligence and behavioral science. Affective computing refers to studying and developing systems that recognize, interpret, process, and simulate human emotions. It has recently seen significant advances from exploratory studies to real-world applications. Multimodal Affective Computing offers readers a concise overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches in applied affective computing systems and social signal processing. It covers affective facial expression and recognition, affective body expression and recognition, affective speech processing, affective text, and dialogue processing, recognizing affect using physiological measures, computational models of emotion and theoretical foundations, and affective sound and music processing. This book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered.The book is an informative resource for academicians, professionals, researchers, and students at engineering and medical institutions working in the areas of applied affective computing, sentiment analysis, and emotion recognition.

Increasingly global and online social interactions and financial transactions involve digital data, computing devices and the internet. With cloud computing, remote computing, enterprise mobility and e-commerce on the rise, network security has become a priority. Selecting an appropriate algorithm and policy is a challenge for computer security engineers, as new technologies provide malicious users with opportunities to intrude into computer networks. New Age Cyber Threat Mitigation for Cloud Computing Networks provides cloud and network engineers answers to cybersecurity challenges. It highlights new options, methodologies and feasible solutions that can be implemented in cloud architecture and IT Infrastructure, thereby securing end users. Chapters cover many topics related to cyber threats in the modern era. These topics include: · Ransomware and DDoS attacks · Security algorithms · Design and implementation solutions for resilient and fault-tolerant cloud and network services · Security policy · End user data security The book is an essential resource for anyone involved in cloud computing and network security, including learners, professionals and enthusiasts.

Artificial Intelligence Development in Sensors and Computer Vision for Health Care and Automation Application explores the power of artificial intelligence (AI) in advancing sensor technologies and computer vision for healthcare and automation. Covering both machine learning (ML) and deep learning (DL) techniques, the book demonstrates how AI optimizes prediction, classification, and data visualization through sensors like IMU, Lidar, and Radar. Early chapters examine AI applications in object detection, self-driving vehicles, human activity recognition, and robot automation, featuring reinforcement learning and simultaneous localization and mapping (SLAM) for autonomous systems. The book also addresses computer vision techniques in healthcare and automotive fields, including human pose estimation for rehabilitation and ML in augmented reality (AR) for automotive design. This comprehensive guide provides essential insights for researchers, engineers, and professionals in AI, robotics, and sensor technology.Key Features:- In-depth coverage of AI-driven sensor innovations for healthcare and automation.- Applications of SLAM and reinforcement learning in autonomous systems.- Use of computer vision in rehabilitation and vehicle automation.- Techniques for managing prediction uncertainty in AI models. Readership:Graduate, undergraduate students, researchers, working professionals, and general readers.

COVID-19: Causes, Transmission, Diagnosis, and Treatment is a simple guide to COVID-19 for all readers to give a thorough perspective about the disease. It comprehensively covers information about SARS-CoV-2 biology, clinical treatment and associated problems. It starts with key introductory topics such as COVID-19 epidemiology and viral biology. Next, it covers basic COVID-19 treatments and the impact of the disease in public health and economies. The book concludes by providing information on advanced technologies for COVID-19 radiograph imaging with AI and other machine learning techniques. Overall, content equips readers with a basic understanding about COVID-19 and the role of new technologies in overcoming challenges posed by the viral pandemic. Key Features - An accessible resource on COVID-19 for all readers - Introduces the reader to SARS-CoV-2 variants, transmission routes and replication - Explains COVID-19 symptoms and treatment methods - Covers a diverse range of issues surrounding the COVID-19 pandemic - Highlights key risks and challenges associated with COVID-19 - Covers current and emerging computer technologies that are useful for COVID-19 infection control - Includes references for advanced readers Readership General readers and scholars who want to understand everything about COVID-19.

El primer volumen basado en la segunda edición americana puede considerarse como la intersección de todo el conjunto de libros, en el sentido de que contiene el material básico que se utiliza en los

Nas margens do imaginário, duas vozes se escontram entre realidades emergentes e respostas incalculáveis. Essa não é uma história, mas uma série de conversas extraordinárias diante do desconhacido. E

Este volumen comprende los capítulos 5 y 6 de la serie completa. El capítulo 5 está dedicado a la clasificación, que es un tema más bien largo, que se ha dividido principalmente en dos partes: clasificacion interna y clasificacion externa. El capitulo 6 trata del problema de la busqueda de esteres especificados en tablas o ficheros: esta subdividido en metodos que buscan secuencialmente o por comparacion de claves, o por propiedades digitales, o por desmenuzamiento koshing y luego considera el problema mas dificil de recuperacion de la clase secundaria.

A variety of computing techniques have been developed in recent times in combination with emerging technologies. Such techniques, coupled with an increase in computing power, has given credence to an information based paradigm in many fields (also termed as informatics). Informatics computing has evolved into complex structures of heterogeneous methods involving multiple data processing applications. Research on new technologies also brings new tools to use along with continuous improvements in existing tools. This reference presents contributions that cover emerging computing techniques and their implementation in computer science, informatics and engineering, as well as other important topics that are often discussed in the modern computing environment. Chapters in this book are contributed by researchers, academicians and industry experts and inform readers about current computer technologies and applications. The topics covered in the book include, online privacy, internet gaming disorder, epidemiological modelling (including COVID-19), computer security and malware detection, document sentiment analysis, and project management. This book is an interesting update on new trends in computing techniques and applications for readers interested in the latest developments in computer science.

Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks.The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.

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.

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.

Si busca un manual de referencia sobre Machine Learning y Deep Learning con PyTorch, ha llegado al libro indicado. En él se explica paso a paso cómo construir sistemas de aprendizaje automático con éxito. Mientras que en algunos libros solo se enseña a seguir instrucciones, en este descubrira los principios para crear modelos y aplicaciones por si mismo. Encontrara multitud de explicaciones claras, visualizaciones y ejemplos, y aprendera en profundidad todas las tecnicas esenciales de Machine Learning.Actualizado para ocuparse de Machine Learning utilizando PyTorch, este libro tambien presenta las ultimas incorporaciones a Scikit-Learn. Ademas, trata varias tecnicas de Machine Learning y Deep Learning para la clasificacion de textos e imagenes. Con este libro, tambien aprendera sobre las redes generativas antagonicas (GAN), utiles para generar nuevos datos y entrenar agentes inteligentes con aprendizaje reforzado. Por ultimo, esta edicion incluye las ultimas tendencias en Machine Learning, como las introducciones a las redes neuronales de grafos y transformadores a gran escala utilizados para el procesamiento del lenguaje natural (NLP).Sin duda, tanto si es un desarrollador de Python neofito en Machine Learning como si desea profundizar en los ultimos avances, este libro de PyTorch sera su gran aliado en el aprendizaje automatico con Python.Estoy seguro de que este libro le resultara muy valioso, tanto por ofrecer una vision general del apasionante campo de Machine Learning, como por ser un tesoro de conocimientos practicos. Espero que le inspire a aplicar Machine Learning para lograr un mayor beneficio, sea cual sea su problematicaGracias a esta lectura: Explorara marcos de trabajo, modelos y tecnicas para que las maquinas aprendan de los datosEmpleara Scikit-Learn para Machine Learning y PyTorch para Deep LearningEntrenara clasificadores de Machine Learning en imagenes, texto, etc.Creara y entrenara redes neuronales, transformadores y redes neuronales graficasDescubrira las mejores practicas para evaluar y ajustar los modelosPronosticara los resultados de elementos continuos utilizando el analisis de regresionProfundizara en los datos textuales y de las redes sociales mediante el analisis de sentimiento

Este libro es una introducción a las modernas tecnologías de bases de datos como medio de almacenamiento de la información. Casi todas las organizaciones modernas tienen la necesidad de guardar datos importantes relativos a sus actividades, y muchas de ellas eligen almacenarlos en sistemas de bases de datos.Este libro constituye una actualizada introduccion a las modernas tecnologias de bases de datos, centrando sus contenidos en los detalles mas practicos. DESTACADOS: Tratamiento detallado de los conceptos clave y los aspectos de desarrollo. Capitulos sobre comercio electronico, procesos de desarrollo de bases de datos, educcion de los requisitos para las bases de datos y procesamiento distribuido. Amplia cobertura de SQL.Actualizacion de los capitulos relacionados con el Sistema gestor de bases de datos ORACLE y el SGBD Microsoft Access. Ejemplos, casos, diagramas de araña y ejercicios que inciden en la unidad practica de los conceptos expuestos. Casos practicos y resumenes de los puntos fundamentales. Biografia para que los estudiantes profundicen en los temas tratados.

Esta obra corresponde a la traducción de la cuarta edición original del libro de texto que se ha convertido en referencia internacional. Su principal objetivo es mostrar la relación existente entre hardware y software y desarrollar los conceptos en que se fundamentan los computadores modernos.Actualmente es imprescindible que los profesionales de la informatica, los de todas las especialidades, conozcan tanto el hardware como el software, ya que la comprension de la interaccion de estos dos elementos constituye el fundamento de la moderna ciencia de la computacion. La reciente sustitucion de los monoprocesadores por microprocesadores multinucleo confirma la solidez de esta perspectiva, establecida ya en la primera edicion de esta obra.En esta edicion (la cuarta de la obra original) se han tenido en cuenta cinco objetivos principales: resaltar en todo el libro los aspectos paralelos del hardware y el software, en consonancia con la revolucion multinucleo de los microprocesadores; racionalizar el material existente para dar cabida a los aspectos relacionados con el paralelismo; mejorar la pedagogia en general; actualizar el contenido tecnico para reflejar los cambios habidos en la industria desde la anterior edicion; y restablecer la utilidad de los ejercicios en la era de Internet. La audiencia de esta obra son todos los estudiantes de informatica, tengan o no experiencia en lenguaje ensamblador o diseño logico.En el primer caso, para entender la organizacion basica de los computadores; y en el segundo, para aprender como se diseñan o entender como trabajan.

En las últimas tres décadas el campo de los sistemas de información ha llegado a establecerse como un área de enseñanza y de investigación en muchos centros de educación superior de todo el mundo. La planificacion, gestion y desarrollo de sistemas de informacion para las organizaciones es fundamental para la prosperidad de la mayoria de las economias del mundo occidental. Que estos sistemas operen eficientemente ha llegado a ser cada vez mas importante para la posicion competitiva de las organizaciones modernas.DESTACADOS:Definicion clara de terminos. Hemos intentado utilizar un vocabulario mas preciso que otros textos similares para explicar los contenidos. Pensamos que una mayor precision en el uso de la terminologia aportara al lector una percepcion mas coherente.Enfasis en la teoria. La mayoria de textos publicados sobre la materia de nivel introductorio y de nivel intermedio tienden a presentar poca cobertura teorica. Nosotros intentamos proporcionar unas bases teoricas mayores que otros libros similares. Los conceptos fundamentales que se tratan en los capitulos iniciales se utilizan en todo el texto para proporcionar coherencia en la descripcion de la practica actual de la informatica en la organizacion.Enfasis holistico. Una de las intenciones que nos ha guiado en la elaboracion del libro ha sido proporcionar un relato de la disciplina de la informatica de la organizacion mas integrada y holistica. La informatica no es una serie de aspectos tecnologicos interesantes pero independientes. Es una perfecta telaraña de aplicaciones informaticas en las organizaciones.Enfasis practico. Que se preste mucha atencion a la teoria no significa que se de menos importancia a la practica. De hecho, podriamos argumentar justamente lo contrario. Unos fuertes fundamentos teoricos proporcionan la posibilidad de un desarrollo practico mas claro del material considerado.

A história de um homem que queria fugir, e desligar a máquina, em um sentido oculto se escondendo nas escuridão para não ser visto

This is the most comprehensive book about AutoCAD 2025 2D drafting on the market. It is divided into three major parts: Essentials: from Chapte r 1 to Chapter 10. It assumes that the reader has no previous experience in AutoCAD; hence it starts from scratch. Chapter 10 contains three projects one architectural, and two mechanical using both Imperial and metric units. Intermediate: from Chapter 11 to Chapter 18. It contains a deeper discussion on a subject we touched on in the Essentials part, or a new advance feature. Advanced: from Chapter 19 to Chapter 26. It discusses the most advanced features of AutoCAD 2025. If you dont have any prior experience in AutoCAD this book is a perfect start, and you can stop at the end of any part. But if you want to be a real power user of AutoCAD, you should go through all 26 chapters, solving all projects and practices. This book is also a good source to prepare for the AutoCAD Certified Professional exam. The chapters are divided as follows: Chapter (1) covers AutoCAD basics along with the interface Chapter (2) covers AutoCAD techniques to draw with accuracy Chapters (3 & 4) cover all modifying commands Chapter (5) covers the AutoCAD method of organizing the drawing using layers and inquiry commands Chapter (6) covers the methods of creating and editing blocks, and inserting and editing hatches Chapter (7) covers AutoCAD methods of writing text Chapter (8) covers how to create and edit dimensions in AutoCAD Chapter (9) covers how to plot your drawing Chapter (10) includes three projects, one architectural and two mechanical, covering both metric and imperial units Chapter (11) covers the creation of more 2D objects Chapters (12 & 13) cover advanced practices and techniques Chapter (14) covers Block tools and Block Editing Chapter (15) covers the creation of Text Style and Table Styles along with Formulas in tables Chapter (16) covers the creation of Dimension Style & Multileader style plus adding multileaders Chapter (17) covers the creation of Plot styles, the meaning of Annotative, and DWF creation Chapter (18) covers how to create a template file and customize AutoCAD interface Chapter (19) covers Parametric Constraints Chapter (20) covers Dynamic Blocks Chapter (21) covers Block Attributes Chapter (22) covers External Reference Chapter (23) covers Sheets Sets Chapter (24) covers CAD Standards and Advanced Layer Commands Chapter (25) covers Importing PDF files, Design Views, AutoCAD Web, Mobile Apps Chapter (26) covers the Drawing Compare Function

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