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Marvels of Artificial and Computational Intelligence in Life Sciences is a primer for scholars and students who are interested in the applications of artificial intelligence (AI and computational intelligence (CI) in life sciences and other industries. The book consists of 16 chapters (9 of which focus on AI and 7 which showcase the benefits of CI approaches to solve specific problems). Chapters are edited by subject experts who describe the roles and applications of AI and CI in different parts of our lives in a concise and lucid manner. The book covers the following key themes: AI Revolution in Healthcare and Drug Discovery:AIs Impact on Biology and Energy ManagementAI and CI in Physical Sciences and Predictive ModelingComputational Biology The editors have compiled a good blend of topics in applied science and engineering to give readers a clear understanding of the multidisciplinary nature of the two facets of computing. Each chapter includes references for advanced readers. Audience Researchers and industry professionals in the field of electronics and nanotechnology; students taking advanced courses in electronics and technology.

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

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.

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

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.

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.

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.

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.

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.

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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

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.

Este trabajo describe una solución para la integración y visualización de datos en un ecosistema multimarca, de fuentes de generación distribuida de energía solar fotovoltaica, sobre una red eléctrica inteligente.El ecosistema implementado con el servicio EC2 de Amazon Web Service, y equipos recolectores de datos en base a sistemas embebidos con microcontroladores conectados a los inversores fotovoltaicos, permite monitorear las magnitudes mas destacadas de la generacion fotovoltaica, comunicandolas a traves de tecnologias de largo alcance con baja potencia (LPWAN) implementadas en LoRa. Los datos administrados a traves de un broker de MQTT instalado en la maquina virtual en Amazon Web Service, pueden ser visualizados a traves del sistema de nombre de dominio (DNS) usando un frontend, desarrollado sobre NodeRed.

Este segundo volume da série "Avanços e Desafios em Ciências Aplicadas" explora o panorama dinâmico e multifacetado das áreas de gestão, saúde e tecnologia. Com contribuições de diversos especialista

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.

As quantum computing rapidly evolves, professionals and tech enthusiasts are seeking ways to stay ahead of the curve. Traditional programming knowledge isnt enough, and understanding quantum computing concepts is becoming essential for future tech leaders. However, many find learning quantum computing intimidating due to its complexity, lack of clear resources, and steep learning curve. Existing materials are either too theoretical or overly technical, making it difficult to get started. Without the right guide, aspiring developers risk falling behind in a field that will soon revolutionize industries. Missing out on understanding quantum programming could mean losing competitive advantage in tech-driven careers. How to code for Quantum Computers offers a clear, step-by-step approach, breaking down complex concepts into manageable, practical examples. With Cirq code examples and hands-on projects, this book empowers readers to master quantum programming, opening doors to cutting-edge opportunities and career advancements, it do this using three classic algorithms, DeutschJozsa, Grover, and Shor as a foundation for study, along with the famous quantum teleportation protocol, taking care of starting from basic concepts such as qubits and gates and circuit. The complete source codes for sample programs using Cirq from Google Research and Python on Jupyter Notebook are available in a public Bitbucket repository.

Los modelos de lenguaje de gran tamaño (LLM) y los modelos de difusión, como ChatGPT y DALL-E, representan una revolución sin precedentes en el ámbito de la inteligencia artificial. Entrenados con texto e imagenes publicas disponibles en Internet, estos modelos son capaces de abordar una amplia variedad de tareas, ofreciendo soluciones innovadoras y automatizadas a problemas previamente inabordables.A pesar de su accesibilidad, muchos desarrolladores enfrentan desafios significativos al intentar obtener resultados fiables y utilizables en sistemas automatizados. Este libro ofrece una guia exhaustiva para adquirir una solida base en IA generativa y aprender a aplicar estos modelos en la practica. Los autores, James Phoenix y Mike Taylor, presentan los principios del prompt engineering, esenciales para trabajar de manera efectiva con IA en entornos de produccion.En este libro descubrira:- Los cinco principios de prompting que son transferibles entre diferentes modelos y que mantendran su efectividad en el futuro.- Aplicaciones practicas de la IA generativa en ejemplos del mundo real, utilizando bibliotecas y frameworks como LangChain.- Como evaluar y comparar modelos: analizara y comparara modelos de OpenAI, como GPT-4 y DALL-E 2, con alternativas de codigo abierto, identificando sus fortalezas y debilidades.- Implementacion en diversos ambitos: aprendera como aplicar estos principios en procesamiento del lenguaje natural (PNL), generacion de texto e imagenes, y generacion de codigo.Este libro es una herramienta indispensable para cualquier desarrollador que quiera llevar sus proyectos al siguiente nivel y aprovechar el poder de la IA generativa para transformar sus resultados y diferenciarse en el mercado. No lo deje escapar.