Ekspertsystemer og vidensbaserede systemer

This book is intended as an introduction to a versatile model for temporal data. It exhibits an original lattice structure on the space of chronicles and proposes new counting approach for multiple occurrences of chronicle occurrences. This book also proposes a new approach for frequent temporal pattern mining using pattern structures. This book was initiated by the work of Ch. Dousson in the 1990¿s. At that time, the prominent format was Temporal Constraint Networks for which the article by Richter, Meiri and Pearl is seminal.Chronicles do not conflict with temporal constraint networks, they are closely related. Not only do they share a similar graphical representation, they also have in common a notion of constraints in the timed succession of events. However, chronicles are definitely oriented towards fairly specific tasks in handling temporal data, by making explicit certain aspects of temporal data such as repetitions of an event. The notion of chronicle has been applied both for situation recognition and temporal sequence abstraction. The first challenge benefits from the simple but expressive formalism to specify temporal behavior to match in a temporal sequence. The second challenge aims to abstract a collection of sequences by chronicles with the objective to extract characteristic behaviors.This book targets researchers and students in computer science (from logic to data science). Engineers who would like to develop algorithms based on temporal models will also find this book useful.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.

This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based prevention of fake news dissemination, and detection of trending topics and influence from social media are investigated.This book helps the reader in developing their own perspective about how to deal with cyber security and how to benefit from the development in technology to tackle cyber security issues. The reader of this book will realize how to use various machine learning techniques for tackling various applications involving social medial analysis.

This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6¿8, 2021 and in Lisbon, Portugal on July 11-13, 2022.The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023.The 24 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The major theme of the conference was intended to be computation intelligence and knowledge management. Various emerging areas like IoT, cyber security and data science need computation intelligence to align with the cutting-edge research. Machine learning delivers insights hidden in data for rapid, automated responses and improved decision making. Machine learning for IoT can be used to project future trends, detect anomalies, and augment intelligence by ingesting image, video, and audio.

This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2022), held at Hanoi in Vietnam. It includes peer reviewed high quality articles on Intelligent System and Networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include- Foundations of Computer Science; Computational Intelligence Language and speech processing; Software Engineering Software development methods; Wireless Communications Signal Processing for Communications; Electronics track IoT and Sensor Systems Embedded Systems; etc.

This book includes extended and revised versions of a set of selected papers from the 17th International Conference on Software Technologies, ICSOFT 2022, held in Lisbon, Portugal, during July 11¿13, 2022. The 10 full papers included in this book were carefully reviewed and selected from 102 submissions. They were organized in topical sections as follows: tool assisted empirical approach to reusability models assessment; functional programming; three forms of mutant subsumption: basic, strict and broad; and on the efficiency of building large collections of software: modeling, algorithms, and experimental results.

Artificial intelligence (AI) is currently one of the most talked-about and significant modern technologies. It is being utilized more frequently across a wide range of businesses to enhance workflows, offer individualized experiences, and even assist in resolving difficult societal problems. Although AI is becoming more commonplace, many people are still confused about what it is and how it functions. "This book" is useful in this situation.This manual aims to give a thorough yet understandable introduction to AI. It discusses the development of AI, its various subfields, and its applications in sectors like healthcare, finance, and retail. It also covers the ethical and societal ramifications of AI, such as issues with bias, privacy, and the effect on employment.The approachability of "This book" is one of its main advantages. The manual's straightforward, concise writing makes it simple for readers to comprehend the ideas without becoming lost in technical jargon. In order to assist readers, apply what they have learned to their own commercial or personal initiatives, it contains real-world examples and useful exercises."This book" is the ideal tool for learning more about AI, whether you are a business owner trying to integrate AI into your operations or are just curious about the subject. By the book's conclusion, readers will be well-versed in the foundations of AI and able to use this technology to accomplish their objectives.It is more crucial than ever to acquire a fundamental understanding of this potent technology in a world where AI is progressively influencing how we conduct our daily lives. With "This book," readers will be well-prepared to traverse the complicated world of artificial intelligence and use it to streamline their lives and accomplish their goals. So, let's get started and together explore the transformational possibilities of AI.

This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boasts a reduced hardware requirement, lower power consumption, and enhanced interpretability. The applications of this approach encompass high-speed classifications, including packet classification, network intrusion detection, and exotic particle detection in high-energy physics. Moreover, it finds utility in medical diagnosis scenarios characterized by small training sets and imbalanced data. The resulting rule generated by this method can be implemented either in software or hardware. In the case of hardware implementation, circuit design can employ look-up tables (memory), rather than threshold gates.The methodology described in this book involves extracting a set of rules from a training set, composed of categorical variable vectors and their corresponding classes. Unnecessary variables are eliminated, and the rules are simplified before being transformed into a sum-of-products (SOP) form. The resulting SOP exhibits the ability to generalize and predict outputs for new inputs. The effectiveness of this approach is demonstrated through numerous examples and experimental results using the University of California-Irvine (UCI) dataset.This book is primarily intended for graduate students and researchers in the fields of logic synthesis, machine learning, and data mining. It assumes a foundational understanding of logic synthesis, while familiarity with linear algebra and statistics would be beneficial for readers.

This book constitutes the refereed post-conference proceedings of the 7th and the 8th International Conference on Big Data Technologies and Applications, ICT4AWE 2021 and ICT4AWE 2022, held in April 24¿26, 2021 and April 23¿25, 2022. Due to COVID-19 pandemic both conferences were held virtually.The 21 full papers of ICT4AWE 2021 and ICT4AWE 2022 were selected from 80 submissions and present all big data technologies, such as Aging Well - Social and Human Sciences Perspective; Telemedicine and Independent Living; Digital Health and e-health.

This book introduces the Topological Weighed Centroid approach and describes some applications in the study of the dynamics of various spatial phenomena with a special emphasis on the spatial analysis of the relationship, influence, and dynamics of geographical phenomena. Offering a comprehensive introduction to the theory and illustrative examples from various kinds of geographical data, this book also takes an in-depth look at more complex case studies, such as the applications of the topological weighed centroid approach in the study of epidemic patterns, cultural processes, criminality, and environmental phenomena.

This book introduces the concept of ¿bespoke learning¿, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generally provides information about the system¿s behaviour/structure, and the aim is to learn the input-output relationship, even though little to no information on the output is available, as in multiple real-world problems. Once the output values have been bespoke-learnt, the originally-absent training set of input-output pairs becomes available, so that (supervised) learning of the sought inter-variable relation is then possible. Three ways of undertaking such bespoke learning are offered: by tapping into system dynamics in generic dynamical systems, to learn the function that causes the system¿s evolution; by comparing realisations of a random graph variable, given multivariate time series datasets of disparate temporal coverage; and by designing maximally information-availing likelihoods in static systems. These methodologies are applied to four different real-world problems: forecasting daily COVID-19 infection numbers; learning the gravitational mass density in a real galaxy; learning a sub-surface material density function; and predicting the risk of onset of a disease following bone marrow transplants. Primarily aimed at graduate and postgraduate students studying a field which includes facets of statistical learning, the book will also benefit experts working in a wide range of applications. The prerequisites are undergraduate level probability and stochastic processes, and preliminary ideas on Bayesian statistics.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Smart Cities and Green ICT Systems and 8th International Conference on Vehicle Technology and Intelligent Transport Systems, SMARTGREENS 2022 and VEHITS 2022 was held Virtually on April 27¿29, 2022.The 7 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows:¿smart cities and green ICT systems and vehicle technology and intelligent transport systems.

This book constitutes the refereed proceedings of the 16th Colombian Congress on Computing, CCC 2022, held in Armenia, Colombia, during October 17¿21, 2022The 12 full papers included in this book were carefully reviewed and selected from 40 submissions. They topics of this volume include software engineering and IT architecture, human-computer interaction, cybersecurity and information security, image processing and computer vision, multimedia, artificial intelligence and robotics, education and ICT, data, information and knowledge, distributed systems and large-scale computing, and formal methods in computer systems, among others.

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models.The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects.Readers will learn how to set up a Google Colaboratory account and run Jupyternotebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL.What You Will LearnSet up a GCP account and projectExplore BigQuery and its use cases, including machine learningUnderstand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning modelsExplore Google Cloud Dataproc and its use cases for big data processingCreate and share data visualizations and reports with Looker Data StudioExplore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud DataflowExplore Google Cloud Storageand its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streamingWho This Book Is ForData scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects

Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level.Author Mark Simon kicks things off with a quick review of basic SQL knowledge, followed by a demonstration of how efficient SQL databases are designed and how to extract just the right data from them. Yoüll then learn about each individual table¿s structure and how to work with the relationships between tables. As you progress through the book, you will learn more sophisticated techniques such as using common table expressions and subqueries, analyzing your data using aggregate and windowing functions, and how to save queries in the form of views and other methods. This book employs an accessible approach to work through a realistic sample, enabling you to learn concepts as they arise to improve parts of the database or to work with the data itself.After completing this book, you will have a more thorough understanding of database structure and how to use advanced techniques to extract, manage, and analyze data.What Will You LearnGain a stronger understanding of database design principles, especially individual tablesUnderstand the relationships between tablesUtilize techniques such as views, subqueries, common table expressions, and windowing functionsWho Is This Book For:SQL Databases users who want to improve their knowledge and techniques.

Oil and Gas are formed from organic material buried deep inside the earth's surface at a specific pressure and temperature conditions. These natural resources are trapped beneath the impermeable layers in porous and permeable rocks known as a reservoir. These Oil and Gas bearing reservoirs can be found onshore or offshore and requires a great marvel of engineering and expertise to explore, reach and produce Oil and Gas from these reservoirs. Initial wells drilled to produce these resources were shallow, simple, and located onshore, however with the increase in their demand drilling engineers reached challenging locations, drilling depths, and followed complex trajectory wells, which has resulted in an increased budget of the project exponentially.Drilling operation planning involves a lot of domain-specific expertise in well trajectory designing, Bottom Hole Assembly (BHA) designing, Drill Bit selection w.r.t formation compressive strength, mud type, and mud weight selection based on pore pressure/fracture pressure/differential sticking limit/wellbore stability limit, drilling string rotational speed and WOB determination based on BHA dynamics. The drilling operational efficiency enhancement is broadly evaluated on:Execution of well without any downhole complications and Increased ROP or drilling rate. Commonly encountered Down hole complications while drilling operations are circulation loss, well influx, and stuck pipe, among these problems, circulation loss is dependent upon formation characteristics and cured by using suitable Lost Circulation Material (LCM) like calcium carbonate (CaCO3), wood fibers, polymers, etc. Well control issue can be resolved by proper selection of mud weight and drilling practices, whereas stuck pipe issue requires a detailed analysis of multiple drilling parameters.Stuck pipe is a situation when the BHA is become immovable inside the wellbore at a particulardepth either due to string pack-off, drill string sticking, stuck in ledges,

Übergreifendes Ziel dieser Arbeit ist es, die Professionalisierung von Investor Relations (IR) in börsennotierten KMU in Deutschland zu erforschen sowie zu ihrer zukünftigen Etablierung in den Unternehmen beizutragen. Zu diesem Zweck analysiert die Autorin theoretisch und empirisch gestützt die unterschiedlichen Bedürfnisse der relevanten Bezugsgruppen für IR. Daraufhin untersucht und priorisiert sie verpflichtende und freiwillige Kommunikationsmaßnahmen für die Bezugsgruppen. Basierend auf diesen Erkenntnissen leistet die Arbeit einen Beitrag zur Professionalisierung der IR-Kommunikation u.a. durch Erstellung eines Anforderungskatalogs und Ableitung konkreter Handlungsempfehlungen für börsennotierte KMU in Deutschland.

The management of an educational system is referred to as educational administration. It includes providing leadership for student education, establishing curriculum, carrying out assessments, and managing people and material resources to reach certain goals. It also includes the management of processes within a school system to ensure specific outcomes are achieved. Moreover, educational administration is critical because it allows schools to present opportunities for students to study. As technological advancements drive digital transformation and globalization, teachers may assist students in acquiring the technological skills needed to succeed in future careers. Also, the significance of integrating technology in education administration is to efficiently reach more students and facilitate customized learning through MOOCs, Virtual classrooms, video courses and augmented reality (AR) etc. It not only helps in imparting education but also helps in monitoring the student performanceby collecting respective data. This book approaches Educational Technology & Administration while keeping in view these requirements. It not only identifies the gaps in existing educational policies but also suggests new research directions to make the teaching-learning procedure more efficient, accessible and easier. It further recommends development of new innovative policies, practices and reforms encouraging the scope of experimentation while ensuring quality. This book is targeted towards educators working closely in this field, researchers, policy makers and academic administrators working collaboratively towards the enhancement of the education system.

Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes.   With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence—all in a manner that is safe and ethical. Daniel Byrne, Director of Artificial Intelligence Research at AVAIL (the Advanced Vanderbilt Artificial Intelligence Laboratory) and author of landmark pragmatic studies published in leading medical journals, shares four decades of experience as a biostatistician and AI researcher. Building on his first book, Publishing Your Medical Research, the author gives the reader the competitive advantage in creating reproducible AI research that will be accepted in prestigious high-impact medical journals.

This book constitutes the refereed proceedings of the 14th EAI International Conference on Towards new e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2022, which was held in Zanzibar, Tanzania, in December 2022.The 30 papers presented in this volume were carefully reviewed and selected from 78 submissions. The papers are organized in the following topical sections: E-infrastructure; E-Services (Farming); E-Services (Health); E-Services (Social); E-Services (Education); and Advanced ICT.

This volume constitutes poster papers and late breaking results presented during the 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3¿7, 2023.The 65 poster papers presented were carefully reviewed and selected from 311 submissions. This set of posters was complemented with the other poster contributions submitted for the Poster and Late Breaking results track of the AIED 2023 conference.

This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators. 

This book constitutes the refereed proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED 2023, held in Tokyo, Japan, during July 3-7, 2023. This event took place in hybrid mode.The 53 full papers and 26 short papers presented in this book were carefully reviewed and selected from 311 submissions. The papers present result in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. The conference was hosted by the prestigious International Artificial Intelligence in Education Society, a global association of researchers and academics specializing in the many fields that comprise AIED, including, but not limited to, computer science, learning sciences, and education.

Digital Technology in Public Health and Rehabilitation Care: COVID Era provides an in-depth examination on how digital technology has impacted public health and rehabilitation during the COVID-19 pandemic. The book showcases the range of digital technology applications utilized in healthcare, including the use of mobile phones, computers, wearable and non-wearable technologies, sensors, 3D printers, robotics, Artificial Intelligence (AI), internet technologies, websites and apps, virtual and augmented realities, and computer games. With a wealth of case studies and insights, this book is an essential resource on the impact of digital technology on public health and rehabilitation services in the COVID-19 era. The COVID-19 pandemic had a major impact on the rehabilitation services available to those in need, particularly for older adults, people with physical and cognitive impairments, children with autism and ADHD, and individuals with physical and mental health disorders. In response to these challenges, the book focuses on the potential for advanced digital technologies to revolutionize public health and rehabilitation services, highlighting the need for researchers and healthcare professionals to work together to promote digital-based interventions.

The prolific deployment of Artificial Intelligence (AI) across different fields has introduced novel challenges for AI developers and researchers. AI is permeating decision making for the masses, and its applications range from self-driving automobiles to financial loan approvals. With AI making decisions that have ethical implications, responsibilities are now being pushed to AI designers who may be far-removed from how, where, and when these ethical decisions occur. Trolley Crash: Approaching Key Metrics for Ethical AI Practitioners, Researchers, and Policy Makers provides audiences with a catalogue of perspectives and methodologies from the latest research in ethical computing. This work integrates philosophical and computational approaches into a unified framework for ethical reasoning in the current AI landscape, specifically focusing on approaches for developing metrics. Written for AI researchers, ethicists, computer scientists, software engineers, operations researchers, and autonomous systems designers and developers, Trolley Crash will be a welcome reference for those who wish to better understand metrics for ethical reasoning in autonomous systems and related computational applications.

This book constitutes the proceedings of the 17th International Conference on Formal Concept Analysis, ICFCA 2023, which took place in Kassel, Germany, in July 2023.The 13 full papers presented in this volume were carefully reviewed and selected from 19 submissions. The International Conference on Formal Concept Analysis serves as a platform for researchers from FCA and related disciplines to showcase and exchange their research findings. The papers are organized in two topical sections, first "Theory" and second "Applications and Visualization".

This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI.  But the focus has been on applying the technology to predictions - which is known as analytical AI.  It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI.  The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous.  It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.

This book constitutes the proceedings of the 13th International Conference on Sensor Systems and Software, S-Cube 2022, which was held in Dalian, China, in December 7-9, 2022. The 16 revised full papers in this book were selected from 42 submissions and are organized in three thematic sessions on sensor technology for marine systems; resilience control systems; and applications.