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Building a cyber risk management program: Evolving security for the digital age
Par Brian Allen. 2024
Cyber risk management is one of the most urgent issues facing enterprises today. This book presents a detailed framework for…
designing, developing, and implementing a cyber risk management program that addresses your company's specific needs. Ideal for corporate directors, senior executives, security risk practitioners, and auditors at many levels, this guide offers both the strategic insight and tactical guidance you're looking for. You'll learn how to define and establish a sustainable, defendable, cyber risk management program, and the benefits associated with proper implementation. Cyber risk management experts Brian Allen and Brandon Bapst, working with writer Terry Allan Hicks, also provide advice that goes beyond risk management. You'll discover ways to address your company's oversight obligations as defined by international standards, case law, regulation, and board-level guidance. This book helps you: understand the transformational changes digitalization is introducing, and new cyber risks that come with it; learn the key legal and regulatory drivers that make cyber risk management a mission-critical priority for enterprises; gain a complete understanding of four components that make up a formal cyber risk management program; and implement or provide guidance for a cyber risk management program within your enterpriseThe things i came here with: A memoir
Par Chris MacDonald. 2022
"Does it hurt?" When you're a tattoo artist, that's the most universal question. For Chris MacDonald, the answer is simple:…
hurts less than a broken heart . Those words are painted above the entrance to his shop, Under My Thumb Tattoos, as a reminder. Chris and his brothers were as wild as the wind, in their house among the fields of Alliston, Ontario, when their parents divorced. Shell-shocked, they were uprooted and brought to Toronto by their dad. Their mother's mental illness worsened in the aftermath, and she disappeared. As a teenager, Chris left home and found himself immersed in the city's underbelly, a world where drugs, skateboarding, and punk rock reigned. Between the youth shelters, suicidal thoughts, and haunted apartments, a light shined: and it was art. He eventually found himself following the path of his brother, Rob, and pursuing life as a tattooist. Then, at the height of a destructive summer, everything changed: he met Megan, the girl who would become his rock of ages. This remarkable memoir examines what tattooing means to MacDonald and traces the connection his artistic motives have to both his family and childhood. The Things I Came Here With is about how crucial our past is to understanding our future, but it's also a love letter to his daughter about the importance of expression, life's uncertainty, and beautyTopics in Artificial Intelligence Applied to Industry 4.0
Par Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise, Swetta Kukreja. 2024
Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they…
are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.Automatic Speech Recognition and Translation for Low Resource Languages
Par L. Ashok Kumar, D. Karthika Renuka, Bharathi Raja Chakravarthi, Thomas Mandl. 2024
AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and…
advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.Metaheuristics for Machine Learning: Algorithms and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)
Par Kanak Kalita, Narayanan Ganesh, S. Balamurugan. 2024
METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide…
to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms.Command-Line Rust
Par Ken Youens-Clark. 2022
Updated in 2024: A new version has been released that simplifies the programs used in the book, based on changes…
in the Rust language and crates since original publication. The code has been updated to reflect version 4 of the clap crate. For several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve.Rather than focusing on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more.Discover how to:Use Rust's standard libraries and data types such as numbers, strings, vectors, structs, Options, and Results to create command-line programsWrite and test Rust programs and functionsRead and write files, including stdin, stdout, and stderrDocument and validate command-line argumentsWrite programs that fail gracefullyParse raw and delimited text manually, using regular expressions and Rust cratesUse and control randomnessBuilding Green Software
Par Anne Currie, Sarah Hsu, Sara Bergman. 2024
How will software development and operations have to change to meet the sustainability and green needs of the planet? And…
what does that imply for development organizations? In this eye-opening book, sustainable software advocates Anne Currie, Sarah Hsu, and Sara Bergman provide a unique overview of this topic—discussing everything from the likely evolution of national grids to the effect those changes will have on the day-to-day lives of developers.Ideal for everyone from new developers to CTOs, Building Green Software tackles the challenges involved and shows you how to build, host, and operate code in a way that's not only better for the planet but also cheaper and relatively low-risk for your business. Most hyperscale public cloud providers have already committed to net-zero IT operations by 2030. This book shows you how to get on board.You'll explore:How the energy transition is likely to change hosting on prem and in the cloud—and how your company can prepareThe fundamental architectural principles of sustainable software development and how to apply themHow to determine which parts of your system need to changeThe concept of extending hardware longevity and the part that software playsDeciphering Data Architectures
Par James Serra. 2024
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new…
architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll:Gain a working understanding of several data architecturesLearn the strengths and weaknesses of each approachDistinguish data architecture theory from realityPick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsExplore the historical evolution and characteristics of data architecturesLearn essentials of running an architecture design session, team organization, and project success factorsFree from product discussions, this book will serve as a timeless resource for years to come.The Definitive Guide to Power Query (M): Mastering complex data transformation with Power Query
Par Gregory Deckler, Rick De Groot, Melissa De Korte. 2024
Learn how to use the Power Query M formula language and its functions effectively for better data modeling and impactful…
business intelligence reports. Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGet comprehensive coverage of fundamental and advanced Power Query conceptsGain hands-on experience with practical examples based on real-world problemsDelve into the intricacies of Power Query M language for enhanced data manipulationBook DescriptionData transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it. The Definitive Guide to Power Query (M) will help you build a solid foundation in the Power Query M language. As you progress through the chapters, you'll learn how to use that knowledge to implement advanced concepts and data transformations. This will set the stage for an uncompromisingly thorough exploration of the Power Query M Language. You'll also get to grips with optimizing performance, handling errors, and implementing efficient data processing techniques. As this is a hands-on guide, the practical examples in the chapters will help you gain the skills to apply Power Query to real-world problems and improve your data analysis capabilities. By the end of this book, you will be able to leverage all of Power Query's remarkable capabilities for data transformation.What you will learnGain a strong understanding of Power Query fundamentalsMaster various functions within Power Query to perform complex data operationsAcquire knowledge about values, types, and control structures in Power QueryDevelop proficiency in error handling techniquesLearn performance optimization strategies for Power QueryApply what you’ve learned to real-world scenarios, including common troublesome patternsWho this book is forThis book is for business analysts, business intelligence professionals, and power business users working with data who want to add Power Query mastery to their resume. This book will be beneficial for anyone who wants to automate their process of data cleaning and save huge amount of time. Having some basic experience in Power Query is recommended.Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutionsKey FeaturesExplore different ML…
tools and frameworks to solve large-scale machine learning challenges in the cloudBuild an efficient data science environment for data exploration, model building, and model trainingLearn how to implement bias detection, privacy, and explainability in ML model developmentBook DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learnApply ML methodologies to solve business problemsDesign a practical enterprise ML platform architectureImplement MLOps for ML workflow automationBuild an end-to-end data management architecture using AWSTrain large-scale ML models and optimize model inference latencyCreate a business application using an AI service and a custom ML modelUse AWS services to detect data and model bias and explain modelsWho this book is forThis book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.Discover how you can leverage the reactive paradigm with RxJS in your Angular applications using some common patterns and techniques…
that can be implemented in real-world use casesKey FeaturesLearn how to write clean, maintainable, performant, and optimized Angular web applications using reactive patternsExplore various RxJS operators and techniques in detail to improve the testing and performance of your codeSwitch from an imperative mindset to reactive by comparing bothBook DescriptionRxJS is a fast, reliable, and compact library for handling asynchronous and event-based programs. It is a first-class citizen in Angular and enables web developers to enhance application performance, code quality, and user experience, so using reactive patterns in your Angular web development projects can improve user interaction on your apps, which will significantly improve the ROI of your applications.This book is a step-by-step guide to learning everything about RxJS and reactivity. You'll begin by understanding the importance of the reactive paradigm and the new features of RxJS 7. Next, you'll discover various reactive patterns, based on real-world use cases, for managing your application's data efficiently and implementing common features using the fewest lines of code.As you build a complete application progressively throughout the book, you'll learn how to handle your app data reactively and explore different patterns that enhance the user experience and code quality, while also improving the maintainability of Angular apps and the developer's productivity. Finally, you'll test your asynchronous streams and enhance the performance and quality of your applications by following best practices.By the end of this RxJS Angular book, you'll be able to develop Angular applications by implementing reactive patterns.What you will learnUnderstand how to use the marble diagram and read it for designing reactive applicationsWork with the latest features of RxJS 7Build a complete Angular app reactively, from requirement gathering to deploying itBecome well-versed with the concepts of streams, including transforming, combining, and composing themExplore the different testing strategies for RxJS apps, their advantages, and drawbacksUnderstand memory leak problems in web apps and techniques to avoid themDiscover multicasting in RxJS and how it can resolve complex problemsWho this book is forIf you're an Angular developer who wants to leverage RxJS for building reactive web applications, this is the book for you. Beginner-level experience with Angular and TypeScript and knowledge of functional programming concepts is assumed.Communication and Applied Technologies: Proceedings of ICOMTA 2023 (Smart Innovation, Systems and Technologies #375)
Par Daniel Barredo Ibáñez, Laura M. Castro, Araceli Espinosa, Iván Puentes-Rivera, Paulo Carlos López-López. 2024
This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2023), jointly organized by the…
Colombian Association of Journalism and Science Communication (Colombia), and the Benemerita Universidad Autonoma de Puebla (Mexico); and as collaborators at the Universidad de Málaga (Spain), Universidade de Vigo (Spain), Universidade de Santiago de Compostela-Equipo de Investigaciones Políticas (Spain), Red Internacional de Gestión de la Comunicación (XESCOM),the International Media Management Academic Association (IMMAA), Red de Investigadores en Comunicación de Ecuador (RICE), and Observatorio Interuniversitario de Medios Ecuatorianos (OIME), during 6 – 8 September 2023. It covers recent advances in the field of digital communication and processes, digital social media, software, big data, data mining and intelligent systems.Information Systems: 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023, Dubai, United Arab Emirates, December 11-12, 2023, Proceedings, Part II (Lecture Notes in Business Information Processing #502)
Par Maria Papadaki, Marinos Themistocleous, Khalid Al Marri, Marwan Al Zarouni. 2024
This book constitutes selected papers from the 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023, which was held in…
Dubai, UAE, during December 11-12, 2023. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 43 papers presented in this volume were carefully reviewed and selected from a total of 126 submissions. They were organized in topical sections as follows: Part I: Metaverse; blockchain technology and applications; digital governance; healthcare information systems; artificial intelligence; Part II: Big data and analytics; digital services and social media; innovative research projects; managing information systems; smart cities.Advances in Computational Intelligence. MICAI 2023 International Workshops: WILE 2023, HIS 2023, and CIAPP 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings (Lecture Notes in Computer Science #14502)
Par Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram Ponce, Ramón Zatarain Cabada, Martín Montes Rivera, Efrén Mezura-Montes. 2024
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 ApplicationsInfrared Small Target Detection: Theory, Methods, and Algorithms.
Par Hu Zhu, Yushan Pan, Lizhen Deng, Guoxia Xu. 2024
Uncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world…
of infrared imaging and detection algorithms. This comprehensive book is an indispensable gem for the research community, offering a profound introduction to the theory, methods, and algorithms underlying infrared small object detection. As an invaluable guide, this book explores diverse models and categories of infrared small object detection algorithms, providing meticulous descriptions and comparisons of their strengths and limitations. Perfectly tailored for researchers, practitioners, and students with a passion for infrared imaging and detection, this book equips readers with the necessary knowledge to embark on groundbreaking investigations in this field.Readers can particularly be drawn to the book's methods, results, and topics, encompassing diverse categories of infrared small object detection algorithms and their corresponding advantages and disadvantages. The book also imparts foundational knowledge in mathematical morphology, tensor decomposition, and deep learning, enabling readers to grasp the underlying principles of these advanced algorithms. Experience the key benefits of “Infrared Small Target Detection” as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications. Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages.Project Management in Cloud Applications
Par Pramod Chandra Bhatt, Naresh Kumar Sehgal. 2024
Cloud Computing has been in use for several decades now, but the art and science of delivering Cloud based products…
is still shrouded in mystery. This book shines new light on how to deliver projects on time and within budget. The authors discuss the theory and practices of software engineering as applied to successful project execution, with real, Cloud-based products.Randomized Response Techniques: Certain Thought-Provoking Aspects
Par Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra. 2024
This book presents an up-to-date perspective on randomized response techniques (RRT). It discusses the most appropriate and efficient procedures of…
RRT for analysing data from queries dealing with sensitive and confidential issues, including the treatment of infinite and finite population setups. The book aims to spark a renewed interest among sampling experts who may have overlooked RRT. By addressing the missing topics and incorporating a wide range of contributors' works, it seeks to foster an appreciative academic environment and inspire a reformed and amended view of RRT. As the book unfolds, readers will gain valuable insights into the evolving landscape of RRT and its applications, positioning them at the forefront of this engaging field of study.On RRT, the literature has grown immensely since its inception in 1965 by S.L. Warner. Despite several books published on the subject, there are still two crucial topics missing from the existing RRT literature. This book aimsto address these gaps and provide valuable insights to curious readers in the field. The book is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas.Artificial Intelligence and Smart Agriculture: Technology and Applications (Advances in Geographical and Environmental Sciences)
Par Kusum Pandey, N. L. Kushwaha, Chaitanya B. Pande, K. G. Singh. 2024
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of…
“smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is required to understand these technological developments. This book explores the applications of various artificial intelligence techniques by identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture. The book also presents practical application opportunities for the resolution of real-world problems, including contributions from precision irrigation, greenhouse data, livestock monitoring, automation, IoT ecosystems for agriculture, cloud computing, mobile robots for precision agriculture, remote sensing applications, anddata mining. In addition, this book provides summary information about different soilless techniques such as hydroponics, aeroponics, and aquaponics, among others. This book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.Computational Intelligence (Studies in Computational Intelligence #1119)
Par Jonathan Garibaldi, Christian Wagner, Thomas Bäck, Hak-Keung Lam, Marie Cottrell, Kurosh Madani, Kevin Warwick. 2023
This book includes a set of selected revised and extended versions of the best papers presented at the 13th International…
Joint Conference on Computational Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and on the other hand to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current field of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.This LNCS conference volume constitutes the proceedings of the 13th International Symposium, FoIKS 2024, in Sheffield, UK, in April 2024.…
The 18 full papers together with 3 short papers included in this volume were carefully reviewed and selected from 42 submissions.The Symposium focuses on fundamental aspect of information and knowledge systems, including submissions that apply ideas, theories, or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics, and optimization.