Computer & IT

Das neue Buch des Bestsellerautors: Wie Informationsnetzwerke unsere Welt geschaffen haben und sie jetzt zu zerstören drohen In den letzten 100 000 Jahren hat die Menschheit enorme Macht erlangt. Doch trotz all unserer Entdeckungen, Erfindungen und Eroberungen befinden wir uns heute in einer existenziellen Krise. Die Welt steht am Rande des ökologischen Zusammenbruchs. Zuhauf werden Falschinformationen verbreitet. Und wir stürzen uns kopfüber in das Zeitalter der künstlichen Intelligenz - ein neues Informationsnetzwerk, das uns auszulöschen droht. Wenn wir so klug sind, warum sind wir dann so selbstzerstörerisch? »Nexus« zeigt, wie der Informationsfluss uns und unsere Welt geformt hat. Yuval Noah Harari nimmt uns mit von der Steinzeit und biblischen Zeiten über die frühneuzeitlichen Hexenverfolgungen, den Stalinismus und den Nationalsozialismus bis zum Wiederaufleben des Populismus in der heutigen Zeit. Dabei lenkt er unseren Blick auf die komplexe Beziehung zwischen Information und Wahrheit, Bürokratie und Mythologie, Weisheit und Macht. Er erkundet, wie verschiedene Gesellschaften und politische Systeme Informationen genutzt haben, um ihre Ziele zu erreichen - zum Guten wie zum Schlechten. Und er befasst sich mit den drängenden Entscheidungen, vor denen wir heute stehen, da nicht-menschliche Intelligenz unsere Existenz bedroht. Informationen sind nicht der Rohstoff, aus dem die Wahrheit ist, aber auch nicht einfach nur eine Waffe. »Nexus« erkundet den hoffnungsvollen Mittelweg zwischen diesen Extremen und zeigt, wie sich unser gemeinsames Menschsein wiederentdecken lässt. »Der große Denker unserer Zeit« - The Times über 21 Lektionen für das 21. Jahrhundert »Interessant und provokativ« - Barack Obama über Eine kurze Geschichte der Menschheit »Einer meiner Lieblingsschriftsteller und -denker« - Natalie Portman über Eine kurze Geschichte der Menschheit »Fegt die Spinnweben aus dem Gehirn... Strahlt Kraft und Klarheit aus« - Sunday Times über Eine kurze Geschichte der Menschheit »Es hat meine Sicht auf unsere Spezies und unsere Welt verändert« - Guardian über Eine kurze Geschichte der Menschheit

O guia inclui um arquivo do Power BI para download para que você possa trabalhar e experimentar o código. Este guia completo foi pensado para uma rápida resolução dos casos mais comuns que podem ser encontrados ao realizar modelagem do zero no POWER BI. Através de seu uso, pretende-se parar de investir horas em desenvolvimento e código mal escrito (não otimizado) que gera falhas graves. O resultado deste guia é uma base de conhecimento que nos orienta na hora de encontrar o código em DAX que precisamos ou de poder gerá-lo por nós mesmos. Nele, você encontrará a resolução de um mesmo caso a partir de diferentes perspectivas aplicando diferentes FUNÇÕES E COMBINAÇÕES ENTRE ELAS para que possa encontrar a melhor que se adapte à necessidade do projeto. À medida que consultar este guia, aprenderá:Usar e combinar FUNÇÕES em Linguagem DAX.Criar código usando uma sintaxe mais limpa.Adquirir um estilo de desenvolvimento ágil. Se quiser aprofundar-se na programação em DAX, este guia o ajudará a escrever código de maneira limpa e ótima.

This book aspires young graduates and programmers to become AI engineers and enter the world of artificial intelligence by combining powerful Python programming with artificial intelligence. Beginning with the fundamentals of Python programming, the book gradually progresses to machine learning, where readers learn to implement Python in developing predictive models.The book provides a clear and accessible explanation of machine learning, incorporating practical examples and exercises that strengthen understanding. We go deep into deep learning, another vital component of AI. Readers gain a thorough understanding of how Python's frameworks and libraries can be used to create sophisticated neural networks and algorithms, which are required for tasks such as image and speech recognition. Natural Language Processing is also covered in the book, with fundamental concepts and techniques for interpreting and generating human-like language covered.The book's focus on computer vision and reinforcement learning is distinctive, presenting these cutting-edge AI fields in an approachable manner. Readers will learn how to use Python's intuitive programming paradigm to create systems that interpret visual data and make intelligent decisions based on environmental interactions. The book focuses on ethical AI development and responsible programming, emphasizing the importance of developing AI that is fair, transparent, and accountable.Each chapter is designed to improve learning by including practical examples, case studies, and exercises that provide hands-on experience. This book is an excellent starting point for anyone interested in becoming an AI engineer, providing the necessary foundational knowledge and skills to delve into the fascinating world of artificial intelligence.Key LearningsExplore Python basics and AI integration for real-world application and career advancement.Experience the power of Python in AI with practical machine learning techniques.Practice Python's deep learning tools for innovative AI solution development.Dive into NLP with Python to revolutionize data interpretation and communication strategies.Simple yet practical understanding of reinforcement learning for strategic AI decision making.Uncover ethical AI development and frameworks, and concepts of responsible and trustworthy AI.Harness Python's capabilities for creating AI applications with a focus on fairness and bias.Table of ContentIntroduction to Artificial IntelligencePython for AIData as Fuel for AIMachine Learning FoundationEssentials of Deep LearningNLP and Computer VisionHands-on Reinforcement LearningEthics to AI

The Rexx Language Association is an independent, non-profit organization dedicated to promoting the use and understanding of the Rexx programming language. RexxLA manages several open source implementations of the Rexx language.The 2013 yearly RexxLA symposium was held 5 May 2013 to 8 May 2013 in Raleigh-Durham area, North Carolina, USA. It was the 24th International Rexx Language Symposium. This Proceedings publication contains interesting and informative presentations on the Rexx Programming language, in all its variants.The RexxLA website can be found at https://www.rexxla.org

This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.

This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.

This book focuses on Krylov subspace methods for solving linear systems, which are known as one of the top 10 algorithms in the twentieth century, such as Fast Fourier Transform and Quick Sort (SIAM News, 2000). Theoretical aspects of Krylov subspace methods developed in the twentieth century are explained and derived in a concise and unified way. Furthermore, some Krylov subspace methods in the twenty-first century are described in detail, such as the COCR method for complex symmetric linear systems, the BiCR method, and the IDR(s) method for non-Hermitian linear systems.The strength of the book is not only in describing principles of Krylov subspace methods but in providing a variety of applications: shifted linear systems and matrix functions from the theoretical point of view, as well as partial differential equations, computational physics, computational particle physics, optimizations, and machine learning from a practical point of view.The book is self-contained in that basic necessary concepts of numerical linear algebra are explained, making it suitable for senior undergraduates, postgraduates, and researchers in mathematics, engineering, and computational science. Readers will find it a useful resource for understanding the principles and properties of Krylov subspace methods and correctly using those methods for solving problems in the future.

In an era where technology is advancing at an unprecedented rate, the fusion of Artificial Intelligence (AI) with traditional mainframe computing heralds a new dawn in the world of high-performance computing. "Mainframe Revolution: Harnessing AI for Next-Gen Computing" is a book conceived at the crossroads of this exciting development, aimed at bridging the gap between the robust world of mainframes and the innovative realm of AI. Mainframes have been the backbone of enterprise computing for decades, handling critical data and applications for major industries and government entities. However, the advent of AI and machine learning presents a transformative opportunity for these powerful systems. This book is designed to be an essential guide for IT professionals, mainframe administrators, and technologists who are looking to integrate AI into their mainframe environments. Throughout these pages, we delve into the practicalities of implementing AI in mainframe systems, exploring both the challenges and opportunities that this integration presents. We cover foundational concepts in AI and mainframe architecture, ensuring that even readers new to these fields can grasp the essential elements. The book also addresses the nitty-gritty of AI implementation, from assessing AI readiness to managing data and ensuring security. Our journey through the book is enriched with real-world case studies, offering insights into how various industries are already leveraging AI in their mainframe environments. These examples not only illustrate the potential of AI-mainframe integration but also provide a roadmap for successful applications. As we stand at this pivotal moment in the evolution of computing, "Mainframe Revolution: Harnessing AI for Next-Gen Computing" serves as both a comprehensive guide and an inspiration for those who are ready to embark on this exciting journey. It is a call to action for embracing the new frontier of AI-enabled mainframe computing, pushing the boundaries of what these powerful machines can achieve.

The principles of human evolution and change apply to technology as much as they do to our inner and outer worlds. Digitized Product Management examines the masculine milieu of tech innovation through a feminine lens, offering insights gleaned over 25 years. Agathe Daae-Qvale wishes that every one of her consulting clients had read this insight before commencing their work together in digital product and service development. This book represents a subjective overview of the technological dimensions that individuals, businesses, and organizations alike need to pay attention to in order to succeed in the Fourth Industrial Revolution.Each section offers the keys to unlocking the barriers to disruptive innovation, helping to maneuver through the shifting marketplace. It serves as the ultimate guide to reinventing your business through navigating the evolution of use cases and tech distribution. Here you will learn how to become the director of innovation as opposed to reacting to its fast-paced evolution-analyzing the more frequent blind spots encountered when creating something truly new. Choose this book as your companion as you step into the digital future. Don't let your business get left behind in this fast-changing digital world!

La guida include un file Power BI scaricabile per poter lavorare e sperimentare con il codice. Questa guida completa è destinata a risolvere rapidamente i problemi più comuni che si possono incontrare quando si esegue una modellazione da zero in POWER BI. Grazie al suo utilizzo, si intende evitare di spendere numerose ore nello sviluppo e nel codice mal scritto (non ottimizzato) che genera gravi bug. Il risultato di questa guida è una base di conoscenze che ci guida a trovare il codice DAX di cui abbiamo bisogno o a generarlo da soli. In essa troverete la risoluzione dello stesso caso da diverse prospettive applicando le diverse FUNZIONI E LE COMBINAZIONI TRA DI ESSE, in modo da poter trovare la migliore che si adatta alle esigenze del progetto. Durante la lettura di questa guida, imparerete: : Utilizzare e combinare le FUNZIONI nel linguaggio DAX.Creare codice utilizzando una sintassi più pulita.Acquisire uno stile di sviluppo agile. Se volete approfondire la programmazione DAX, questa guida vi aiuterà a scrivere il codice in modo pulito e ottimale.

Classic tricks in a modern wrap¿DESCRIPTION A comprehensive guide that takes you on a journey through the world of design patterns in .NET, empowering you to create software that is not only robust and efficient but also maintainable, scalable, and testable.Develop a solid understanding of object-oriented programming (OOP) principles, including inheritance, encapsulation, and polymorphism, forming the groundwork for well-structured code. Explore creational design patterns like Factory and Abstract Factory, mastering object instantiation, and delve into structural patterns such as Adapter and Composite, governing object composition. Navigate the intricacies of behavioral patterns like Template Method and Observer to control object interaction effectively. Unravel the mysteries of SOLID principles: Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion for building maintainable, scalable, and testable code.This book can give you an insight into how modern software is written, what problems software developers face in their everyday work, and how they solve them by simplifying the design and structure of the code. After reading this book, you will become a better developer who can talk freely with more experienced colleagues and easily solve complex tasks with minimum effort.WHAT YOU WILL LEARN¿ Designing simple and reusable solutions.¿ Reduce the learning curve in design patterns.¿ How to design your class hierarchy.¿ Explore ways to avoid common software design mistakes.¿ Elevate your software development skills to a new level.WHO THIS BOOK IS FORThis book is perfect for .NET developers of all levels, from beginners to professionals. Whether you are a software engineer, a system architect, or passionate about crafting high-quality code, this book will equip you with the knowledge and practical skills to become a true master of design patterns.

The Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design and patterns) for leading technologies, combining proven data modeling practices with database-specific features to produce better applications. Read Cassandra Data Modeling and Schema Design if you are a data professional who needs to expand your modeling skills to include Cassandra or a technologist who knows Cassandra but needs to grow your schema design skills.The book's introduction and three chapters cover the Align, Refine, and Design approach. We include what the level does in the name by rebranding Conceptual, Logical, and Physical into Align, Refine, and Design. The introduction covers the three modeling characteristics of precise, minimal, and visual; the three model components of entities, relationships, and attributes (including keys); the three model levels of conceptual (align), logical (refine), and physical (design); and the three modeling perspectives of relational, dimensional, and query. Chapter 1, Align, is about agreeing on the common business vocabulary so everyone is aligned on terminology and general initiative scope. Chapter 2, Refine, is about capturing the business requirements. That is, refining our knowledge of the initiative to focus on what is essential. Chapter 3, Design, is about the technical requirements. That is, designing to accommodate our model's unique software and hardware needs.Align, Refine, and Design-that's the approach followed in this book and reinforced through an animal shelter case study. If you are interested in learning how to build multiple database solutions, read all the books in the Align > Refine > Design series. Since each book uses the same template, you can quickly skill up on additional database technologies.

How to automate AWS Cloud using Terraform IaC best practices¿DESCRIPTION AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams.This book will empower readers of AWS Cloud Automation to embrace a modern, scalable, and efficient approach to managing cloud infrastructure. By combining the power of Terraform with the flexibility of AWS.WHAT YOU WILL LEARN¿ Implement automated workflows with Terraform in CI/CD pipelines, for consistent and reliable deployments.¿ Secure your cloud environment with robust Identity and Access Management (IAM) policies.¿ Build and deploy highly available and scalable applications using EC2, VPC, and ELB.¿ Automate database deployments and backups with RDS and DynamoDB for worry-free data management.¿ Implement serverless architectures with EKS and Fargate for agile and cost-effective development.WHO THIS BOOK IS FORThis book is crafted for both aspiring and seasoned infrastructure enthusiasts, cloud architects, solution architects, SysOps Administrators, and DevOps professionals ready to apply the power of Terraform as their AWS go-to Infrastructure as Code (IaC) tool.

Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

Les dommages causés par les cyberattaques sur les particuliers et les moyennes et grandes entreprises informatiques via les dispositifs de l'internet des objets (IdO) ont obligé les chercheurs et les spécialistes de la cybersécurité dans le domaine des technologies de l'information à être plus motivés lorsqu'ils mènent des études sur les risques de cyberattaques. C'est pourquoi cette étude s'est penchée sur les effets des cyberattaques sur les dispositifs IdO. Elle vise à comprendre les différents protocoles de réseau et à élaborer des mesures permettant d'atténuer ou de prévenir toute forme de cyberattaque sur les dispositifs IdO.Dans cette étude, les documents de recherche et les études de cas ont été principalement utilisés pour trier les informations provenant de différents spécialistes de l'IdO et pour recueillir des informations auprès de différents chercheurs. Cette étude a utilisé une étude de cas en raison de sa flexibilité et de sa capacité à fournir des informations approfondies.Les résultats de cette étude ont principalement montré que les contre-mesures efficaces pour décourager les cyberattaques sont très importantes, et que des mesures strictes doivent donc être prises pour mettre en ¿uvre des outils de protection tels que l'informatique en nuage et les techniques de cryptage afin de prévenir les cybercrimes.

A causa del miglioramento esponenziale di Internet negli ultimi tempi, i motori di ricerca hanno la missione complessa di classificare un gran numero di siti web e di mostrare solo le pagine più appropriate per la query di ricerca o le parole chiave presentate. L'ottimizzazione dei motori di ricerca (SEO) è un processo di ottimizzazione di un sito web. Questa ottimizzazione influisce sul corretto posizionamento del sito web nelle SERP (Search Engine Result Pages). I siti web dinamici o basati su database sono stati recentemente utilizzati per le università perché il contenuto del sito può essere facilmente modificato. Tuttavia, questo tipo di siti web è esposto a difficoltà di indicizzazione. Questo libro intende analizzare e superare i problemi SEO dei siti web dinamici. Mi propongo di individuare i fattori SEO dei siti web dinamici, di ricercare e sperimentare strumenti e tecniche SEO e di individuare in che misura i siti web dinamici possono essere resi idonei al posizionamento nei motori di ricerca per raggiungere gli obiettivi e le mete di questa ricerca. In questo libro ho implementato alcune tecniche e utilizzato un metodo che aiuta ad aumentare il posizionamento del sito web dell'Università Khazar (www.khazar.org). Questo studio fornisce un'ampia delucidazione teorica su come implementare i metodi SEO per i siti web dinamici.

I danni causati dai cyberattacchi attraverso i dispositivi dell'Internet of Things (IoT) ai singoli individui e alle aziende IT medio-grandi hanno reso necessario che i ricercatori e gli specialisti di sicurezza informatica nel campo dell'Information Technology siano più motivati nel condurre studi sui rischi dei cyberattacchi. Pertanto, questo studio ha analizzato gli effetti dei cyberattacchi sui dispositivi IoT. Questa ricerca mira a comprendere i vari protocolli di rete e a costruire misure su come mitigare o prevenire qualsiasi forma di attacco informatico sui dispositivi IoT.In questo studio sono stati utilizzati principalmente documenti di ricerca e casi di studio per selezionare le informazioni provenienti da diversi studiosi sull'IoT e raccogliere informazioni da diversi ricercatori. Questa ricerca ha utilizzato un caso di studio per la sua flessibilità e per la sua capacità di fornire informazioni approfondite.I risultati di questa ricerca riflettono principalmente che le contromisure efficaci per scoraggiare i cyberattacchi sono molto importanti e quindi è necessario adottare misure rigorose per implementare strumenti di protezione come il cloud computing e le tecniche di crittografia per prevenire i crimini informatici.

Debido a la mejora exponencial de Internet en los últimos tiempos, los motores de búsqueda tienen la misión compuesta de clasificar a través de tantos sitios web y mostrar sólo las páginas más adecuadas para la consulta de búsqueda presentada o palabras clave. Search Engine Optimization (SEO) es el proceso de optimización de un sitio web. Esta optimización afecta a la correcta clasificación del sitio web en las SERP (páginas de resultados de los motores de búsqueda). Los sitios web dinámicos o los sitios web basados en bases de datos se utilizan recientemente para las universidades porque el contenido del sitio web se puede modificar fácilmente. Sin embargo, este tipo de sitios web están expuestos a dificultades relacionadas con la indexación. Este libro pretende analizar y superar los problemas de SEO de los sitios web dinámicos. Mi objetivo es detectar los factores SEO de los sitios web dinámicos, investigar y experimentar herramientas y técnicas SEO, y detectar hasta qué punto los sitios web dinámicos pueden ser adecuados para el posicionamiento en buscadores para alcanzar los objetivos y destinos de esta investigación. En este libro implemento algunas técnicas y utilizo métodos que ayudan a aumentar el ranking del sitio web de la Universidad de Khazar (www.khazar.org). Este estudio ofrece una amplia aclaración teórica sobre cómo implementar métodos SEO para sitios web dinámicos.

Aufgrund der exponentiellen Verbesserung des Internets in letzter Zeit haben Suchmaschinen die Aufgabe, eine Vielzahl von Websites zu durchforsten und nur die am besten geeigneten Seiten für die gestellte Suchanfrage oder die Schlüsselwörter anzuzeigen. Search Engine Optimization (SEO) ist ein Prozess zur Optimierung einer Website. Diese Optimierung wirkt sich auf die richtige Platzierung der Website in den SERPs (Search Engine Result Pages) aus. Dynamische Websites oder datenbankgestützte Websites werden seit kurzem für Universitäten verwendet, da der Inhalt der Website leicht geändert werden kann. Dennoch ist diese Art von Websites mit Indizierungsproblemen behaftet. In diesem Buch geht es um die Analyse und Überwindung von SEO-Problemen im Zusammenhang mit dynamischen Websites. Mein Ziel ist es, die SEO-Faktoren dynamischer Websites zu ermitteln, SEO-Tools und -Techniken zu erforschen und zu erproben und festzustellen, in welchem Umfang dynamische Websites für das Suchmaschinen-Ranking geeignet gemacht werden können, um die Ziele dieser Forschung zu erreichen. In diesem Buch führe ich einige Techniken und Methoden ein, die helfen, das Ranking der Website der Khazar Universität (www.khazar.org) zu verbessern. Diese Studie bietet eine breite theoretische Aufklärung darüber, wie man SEO-Methoden für dynamische Websites implementiert.

Los daños causados por los ciberataques a través de los dispositivos de Internet de las Cosas (IoT) a particulares y a medianas y grandes empresas de TI han hecho necesario que los investigadores y especialistas en ciberseguridad en el campo de las tecnologías de la información estén más motivados a la hora de realizar estudios sobre los riesgos de los ciberataques. Por lo tanto, este estudio investigó los efectos de los ciberataques en los dispositivos IoT. Este estudio de investigación tiene como objetivo comprender los diversos protocolos de red y crear medidas sobre cómo mitigar o prevenir cualquier forma de ciberataque en los dispositivos IoT.En este estudio, se utilizaron principalmente artículos de investigación y estudios de casos para buscar información de diferentes estudiosos sobre la IO y recopilar información de diferentes investigadores. En esta investigación se empleó un estudio de caso por su flexibilidad y su capacidad para proporcionar información en profundidad.Las conclusiones de esta investigación reflejan principalmente que las contramedidas eficaces para disuadir los ciberataques son muy importantes, por lo que es necesario adoptar medidas estrictas para aplicar herramientas de protección como la computación en nube junto con técnicas de cifrado para prevenir los ciberdelitos.

Die Schäden, die durch Cyberangriffe auf das Internet der Dinge (IoT) bei Privatpersonen und mittleren bis großen IT-Unternehmen verursacht werden, machen es erforderlich, dass Forscher und Cybersicherheitsspezialisten im Bereich der Informationstechnologie bei der Durchführung von Studien über die Risiken von Cyberangriffen motivierter sind. Daher wurden in dieser Studie die Auswirkungen von Cyberangriffen auf IoT-Geräte untersucht. Diese Forschungsstudie zielt darauf ab, die verschiedenen Netzwerkprotokolle zu verstehen und Maßnahmen zu entwickeln, wie jegliche Form von Cyberangriffen auf IoT-Geräte abgeschwächt oder verhindert werden kann.In dieser Studie wurden hauptsächlich Forschungsarbeiten und Fallstudien verwendet, um Informationen von verschiedenen Wissenschaftlern über das Internet der Dinge zu erhalten und Informationen von verschiedenen Forschern zu sammeln. In dieser Studie wurde eine Fallstudie verwendet, da sie flexibel ist und tiefgehende Informationen liefern kann.Die Ergebnisse dieser Studie spiegeln vor allem wider, dass wirksame Gegenmaßnahmen zur Verhinderung von Cyberangriffen sehr wichtig sind und daher strenge Maßnahmen ergriffen werden müssen, um Schutzinstrumente wie Cloud Computing zusammen mit Verschlüsselungstechniken zur Verhinderung von Cyberkriminalität zu implementieren.

Devido ao aumento exponencial da Internet nos últimos tempos, os motores de busca têm a missão de classificar tantos sítios Web e mostrar apenas as páginas mais adequadas para a consulta de pesquisa ou palavras-chave apresentadas. Search Engine Optimization (SEO) é o processo de otimização de um website. Esta otimização afecta a classificação adequada do website nas SERPs (Search Engine Result Pages). Os sítios Web dinâmicos ou orientados para bases de dados são recentemente utilizados para universidades porque o conteúdo do sítio Web pode ser facilmente modificado. No entanto, este tipo de sítios Web está exposto a dificuldades relacionadas com a indexação. Este livro pretende analisar e ultrapassar os problemas relacionados com a SEO dos sítios Web dinâmicos. O meu objetivo é detetar os factores de SEO dos sítios dinâmicos, pesquisar e experimentar ferramentas e técnicas de SEO, e detetar até que ponto os sítios dinâmicos podem ser adequados para a classificação nos motores de busca, a fim de alcançar os objectivos e destinos desta investigação. Neste livro, implemento algumas técnicas e utilizo métodos que ajudam a aumentar a classificação do sítio Web da Universidade de Khazar (www.khazar.org). Este estudo fornece uma ampla elucidação teórica sobre como implementar métodos de SEO para sítios Web dinâmicos.

V swqzi s äxponencial'nym razwitiem Interneta w poslednee wremq na poiskowye sistemy wozlozhena slozhnaq missiq - proranzhirowat' mnozhestwo sajtow i pokazat' tol'ko samye podhodqschie stranicy po zadannomu poiskowomu zaprosu ili klüchewym slowam. Poiskowaq optimizaciq (SEO) - äto process optimizacii web-sajta. Jeta optimizaciq wliqet na prawil'noe ranzhirowanie sajta na SERPs (Search Engine Result Pages). Dinamicheskie web-sajty ili web-sajty, uprawlqemye bazami dannyh, w poslednee wremq ispol'zuütsq dlq uniwersitetow, potomu chto soderzhimoe web-sajta legko mozhet byt' izmeneno. Tem ne menee, ätot tip sajtow podwerzhen trudnostqm, swqzannym s indexaciej. Jeta kniga poswqschena analizu i preodoleniü problem SEO, swqzannyh s dinamicheskimi sajtami. Ya hochu wyqwit' SEO-faktory dinamicheskih sajtow, issledowat' i äxperimentirowat' s SEO-instrumentami i metodami, a takzhe opredelit', naskol'ko dinamicheskie sajty mozhno sdelat' podhodqschimi dlq ranzhirowaniq w poiskowyh sistemah, chtoby dostich' celej i zadach dannogo issledowaniq. V ätoj knige q primenqü nekotorye tehniki i ispol'zuü metod, kotoryj pomogaet powysit' rejting sajta Uniwersiteta Hazar (www.khazar.org). Dannoe issledowanie daet shirokoe teoreticheskoe predstawlenie o tom, kak primenqt' metody SEO dlq dinamicheskih sajtow.

En raison de l'amélioration exponentielle de l'internet ces derniers temps, les moteurs de recherche ont pour mission de classer un grand nombre de sites web et de n'afficher que les pages les plus appropriées pour la requête ou les mots-clés présentés. L'optimisation des moteurs de recherche (SEO) est un processus d'optimisation d'un site web. Cette optimisation affecte le classement du site web dans les SERPs (pages de résultats des moteurs de recherche). Les sites web dynamiques ou les sites web basés sur une base de données sont utilisés depuis peu par les universités parce que le contenu du site web est facilement modifiable. Néanmoins, ce type de sites web est exposé à des difficultés liées à l'indexation. Ce livre a pour but d'analyser et de surmonter les problèmes de référencement des sites web dynamiques. Je cherche à détecter les facteurs de référencement des sites web dynamiques, à rechercher et à expérimenter des outils et des techniques de référencement, et à déterminer dans quelle mesure les sites web dynamiques peuvent être adaptés au classement des moteurs de recherche pour atteindre les objectifs et les destinations de cette recherche. Dans ce livre, je mets en ¿uvre certaines techniques et j'utilise une méthode qui permet d'améliorer le classement du site web de l'Université Khazar (www.khazar.org). Cette étude fournit une élucidation théorique générale sur la manière de mettre en ¿uvre les méthodes de référencement pour les sites web dynamiques.

"Coding in C: A Journey from Novice to Expert" is a comprehensive guide designed to empower individuals at every level of programming proficiency. Starting with fundamental concepts, the book systematically navigates through the intricacies of the C programming language, providing hands-on examples and practical insights. Readers embark on a progressive journey, mastering the basics before delving into advanced techniques, coding practices, and efficient problem-solving strategies. The book combines theoretical foundations with real-world application, covering topics such as data structures, algorithms, and memory management. Whether you're a beginner aiming to grasp the essentials or an experienced developer seeking to enhance your skills, this book serves as a valuable resource for unlocking the full potential of C programming.

This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections:¿ WILE 2023: 16th Workshop on Intelligent Learning Environments¿ HIS 2023: 16th Workshop of Hybrid Intelligent Systems¿ CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications

This book represents an interdisciplinary academic endeavour intended to provide readers with a comprehensive, balanced, and nuanced examination of critical issues at the intersection of cyberspace, cyberterrorism, and national and international security. It draws insights from a range of diverse fields, including Computer Science, Social Science, Political Science, International Relations, Criminology, and Law. Furthermore, the book investigates the field of Artificial Intelligence (AI) and related technologies, exploring their dual role in this dynamic landscape of contemporary cyberthreats, with both constructive and malicious implications.The book comprises four distinct themes, with each theme represented by a dedicated Part. Within this organisational framework, each overarching theme is systematically explored through a series of chapters, providing readers with a clear and thematic roadmap for their journey through the content.Part I, Understanding Terrorism and Counter-Terrorism Strategies, of the book explores complexities surrounding contemporary global security challenges. It serves as the foundational segment of the book, consisting of three chapters that critically analyse various dimensions of terrorism and the strategies implemented to combat it.Part II, Cyberterrorism Landscape, of the book offers an in-depth assessment of the current cyberterrorism landscape. This section comprises two critical chapters, each contributing to a comprehensive understanding of the contemporary threats posed by cyberterrorism and their implications for national security.Part III, Countering Cyberterrorism with Technology, of the book forms the core of the book's exploration into leveraging technology to mitigate the threats of cyberterrorism. This section includes four critical chapters, collectively providing an in-depth understanding of the intersection between technology and counterterrorism strategies.Part IV, Artificial Intelligence and National and International Security, of the book delves into the complex relationship between AI technology and the broader security landscape. Comprising three pivotal chapters, this section provides a detailed understanding of AI's transformative role in shaping the future of national and international security.

This book constitutes the refereed proceedings of the 6th International Conference on Information and Knowledge Systems, ICIKS 2023, held in Portsmouth, UK, during June 22¿23, 2023.The 18 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: Decision Making, Recommender Systems, and Information Support Systems; Information Systems and Machine Learning; Knowledge Management, Context and Ontology; Cybersecurity and Intelligent Systems; and Natural Language Processing for Decision Systems.

This book constitutes revised selected papers from the thoroughly refereed conference proceedings of the 16th International Conference on Innovative Security Solutions for Information Technology and Communications, SecITC 2023, held in Bucharest, Romania, in November 2023. The 14 full papers included in the book were carefully reviewed and selected from 57 submissions. They focus on all theoretical and practical aspects related to information technology and communications security.