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  • Open Access  (144)
  • Springer  (144)
  • 2020-2024  (144)
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  • 2020-2024  (144)
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  • 1
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    Artificial Intelligence for a Better Future (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
    Keywords: Artificial Intelligence ; Ethics ; Computers and Society ; Philosophy of Technology ; Business Ethics ; Applied Ethics ; Ethics of Technology ; Computer Ethics ; Information Ethics ; Responsible Research and Innovation ; Innovation Ecosystem ; Engineering Ethics ; Corporate Social Responsibility ; Open Access ; Ethics & moral philosophy ; Ethical & social aspects of IT ; Philosophy ; Business ethics & social responsibility ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJG Business ethics and social responsibility
    Language: English
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  • 2
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    Metalearning (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. ; Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
    Keywords: Metalearning ; Automating Machine Learning (AutoML) ; Machine Learning ; Artificial Intelligence ; algorithm selection ; algorithm recommendation ; algorithm configuration ; hyperparameter optimization ; automating the workflow/pipeline design ; metalearning in ensemble construction ; metalearning in deep neural networks ; transfer learning ; algorithm recommendation for data streams ; automating data science ; Open Access ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
    Language: English
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  • 3
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    Data Science for Economics and Finance (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
    Keywords: Data Mining and Knowledge Discovery ; Machine Learning ; Business Information Systems ; Big Data/Analytics ; Computer Appl. in Administrative Data Processing ; Information Storage and Retrieval ; IT in Business ; Computer and Information Systems Applications ; Open Access ; Data Mining ; Big Data ; Data Analytics ; Decision Support Systems ; Semantics and Reasoning ; Expert systems / knowledge-based systems ; Business mathematics & systems ; Public administration ; Information technology: general issues ; Information retrieval ; Data warehousing ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
    Language: English
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  • 4
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    Model-Based Engineering of Collaborative Embedded Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.
    Keywords: Software Engineering ; Software Management ; Automotive Engineering ; Special Purpose and Application-Based Systems ; IT in Business ; Model-Driven Software Development ; Requirements Engineering ; Automotive Software Engineering ; Embedded Systems ; Open Access ; SPES Methodology ; Simulation ; Co-Design of Systems ; Business mathematics & systems ; Business applications ; Automotive technology & trades ; Automotive (motor mechanic) skills ; Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRC Automotive technology and trades ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
    Language: English
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  • 5
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    Technology, Design and the Arts - Opportunities and Challenges (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book details the relationship between the artist and their created works, using tools such as information technology, computer environments, and interactive devices, for a range of information sources and application domains. This has produced new kinds of created works which can be viewed, explored, and interacted with, either as an installation or via a virtual environment such as the Internet. These processes generate new dimensions of understanding and experience for both the artist and the public’s relationships with the works that are produced. This has raised a variety of interdisciplinary opportunities and issues, and these are examined. The symbiotic relationship between artistic works and the cultural context in which they are produced is reviewed. Technology can provide continuity by making traditional methods and techniques more efficient and effective. It can also provide discontinuity by opening up new perspectives and paradigms. This can generate new ideas, and produce a greater understanding of artistic processes and how they are implemented in practice. Tools have been used from the earliest times to create and modify artistic works. For example, naturally occurring pigments have been used for cave paintings. What has been created provides insight into the cultural context and social environment at the time of creation. There is an interplay between the goal of the creator, the selection and use of appropriate tools, and the materials and representations chosen. Technology, Design and the Arts - Opportunities and Challenges is relevant for artists and technologists and those engaged in interdisciplinary research and development at the boundaries between these disciplines.
    Keywords: User Interfaces and Human Computer Interaction ; Computer Appl. in Arts and Humanities ; Media Design ; Information Systems Applications (incl. Internet) ; Computer and Information Systems Applications ; Information Systems Applications (incl.Internet) ; Interactive Arts ; Digital Art ; Creativity and Virtual Reality ; Technology, Design and the Arts ; Open Access ; Collaborative Art and Design ; User interface design & usability ; Computer applications in the arts & humanities ; Graphical & digital media applications ; Information retrieval ; Internet searching ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
    Language: English
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  • 6
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    Market Engineering (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book provides a broad range of insights on market engineering and information management. It covers topics like auctions, stock markets, electricity markets, the sharing economy, information and emotions in markets, smart decision-making in cities and other systems, and methodological approaches to conceptual modeling and taxonomy development. Overall, this book is a source of inspiration for everybody working on the vision of advancing the science of engineering markets and managing information for contributing to a bright, sustainable, digital world. Markets are powerful and extremely efficient mechanisms for coordinating individuals’ and organizations’ behavior in a complex, networked economy. Thus, designing, monitoring, and regulating markets is an essential task of today’s society. This task does not only derive from a purely economic point of view. Leveraging market forces can also help to tackle pressing social and environmental challenges. Moreover, markets process, generate, and reveal information. This information is a production factor and a valuable economic asset. In an increasingly digital world, it is more essential than ever to understand the life cycle of information from its creation and distribution to its use. Both markets and the flow of information should not arbitrarily emerge and develop based on individual, profit-driven actors. Instead, they should be engineered to serve best the whole society’s goals. This motivation drives the research fields of market engineering and information management. With this book, the editors and authors honor Professor Dr. Christof Weinhardt for his enormous and ongoing contribution to market engineering and information management research and practice. It was presented to him on the occasion of his sixtieth birthday in April 2021. Thank you very much, Christof, for so many years of cooperation, support, inspiration, and friendship.
    Keywords: Computer Applications ; IT in Business ; e-Commerce/e-business ; Computer and Information Systems Applications ; e-Commerce and e-Business ; Information Systems ; Information Management ; Business Information Systems ; e-Services ; e-Finance ; Decision Support Systems ; Open Access ; Information technology: general issues ; Business mathematics & systems ; Business applications ; E-commerce: business aspects ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::U Computing and Information Technology::UF Business applications
    Language: English
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  • 7
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    Rice Improvement (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This book is open access under a CC BY 4.0 license. By 2050, human population is expected to reach 9.7 billion. The demand for increased food production needs to be met from ever reducing resources of land, water and other environmental constraints. Rice remains the staple food source for a majority of the global populations, but especially in Asia where ninety percent of rice is grown and consumed. Climate change continues to impose abiotic and biotic stresses that curtail rice quality and yields. Researchers have been challenged to provide innovative solutions to maintain, or even increase, rice production. Amongst them, the ‘green super rice’ breeding strategy has been successful for leading the development and release of multiple abiotic and biotic stress tolerant rice varieties. Recent advances in plant molecular biology and biotechnologies have led to the identification of stress responsive genes and signaling pathways, which open up new paradigms to augment rice productivity. Accordingly, transcription factors, protein kinases and enzymes for generating protective metabolites and proteins all contribute to an intricate network of events that guard and maintain cellular integrity. In addition, various quantitative trait loci associated with elevated stress tolerance have been cloned, resulting in the detection of novel genes for biotic and abiotic stress resistance. Mechanistic understanding of the genetic basis of traits, such as N and P use, is allowing rice researchers to engineer nutrient-efficient rice varieties, which would result in higher yields with lower inputs. Likewise, the research in micronutrients biosynthesis opens doors to genetic engineering of metabolic pathways to enhance micronutrients production. With third generation sequencing techniques on the horizon, exciting progress can be expected to vastly improve molecular markers for gene-trait associations forecast with increasing accuracy. This book emphasizes on the areas of rice science that attempt to overcome the foremost limitations in rice production. Our intention is to highlight research advances in the fields of physiology, molecular breeding and genetics, with a special focus on increasing productivity, improving biotic and abiotic stress tolerance and nutritional quality of rice. ; Up-to-date contributions by experts from international research centers and universities Provides practical knowledge and strong scientific foundation on rice biotechnology All-in-one resource for current advances in rice breeding Open Access
    Keywords: Agriculture ; Plant Breeding/Biotechnology ; Plant Genetics and Genomics ; Plant Physiology ; Nutrition ; Plant Biotechnology ; Plant Genetics ; Open Access ; Rice Biotechnologies ; Rice Breeding ; biotic stress tolerance ; abiotic stress tolerance ; Submergence tolerance ; Biofortification ; Marker Assisted and Forward Breeding ; disease resistance ; CRISPR/CAS ; Agricultural science ; Botany & plant sciences ; Biotechnology ; Genetics (non-medical) ; Biochemistry ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry
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  • 8
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    Building Better Interfaces for Remote Autonomous Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This 'Open Access' SpringerBrief provides foundational knowledge for designing autonomous, asynchronous systems and explains aspects of users relevant to designing for these systems, introduces principles for user-centered design, and prepares readers for more advanced and specific readings. It provides context and the implications for design choices made during the design and development of the complex systems that are part of operation centers. As such, each chapter includes principles to summarize the design implication that engineers can use to inform their own design of interfaces for operation centers and similar systems. It includes example materials for the design of a fictitious system, which are referenced in the book and can be duplicated and extended for real systems. The design materials include a system overview, the system architecture, an example scenario, a stakeholder analysis, a task analysis, a description of the system and interface technology, and contextualized design guidelines. The guidelines can be specified because the user, the task, and the technology are well specified as an example. Building Better Interfaces for Remote Autonomous Systems is for working system engineers who are designing interfaces used in high throughput, high stake, operation centers (op centers) or control rooms, such as network operation centers (NOCs). Intended users will have a technical undergraduate degree (e.g., computer science) with little or no training in design, human sciences, or with human-centered iterative design methods and practices. Background research for the book was supplemented by interaction with the intended audience through a related project with L3Harris Technologies (formerly Harris Corporation).
    Keywords: User Interfaces and Human Computer Interaction ; Software Engineering ; Autonomous Systems ; User-Centered Design ; Operation Centres ; Interface Technology ; Human-Centered Design ; Open Access ; User interface design & usability ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
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  • 9
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    Mobile Edge Computing (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management. The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
    Keywords: Open Access ; mobile edge computing ; 5G beyond ; 6G ; edge caching ; Internet of Things ; UAV ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMS Mobile and handheld device programming / Apps programming ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering ; thema EDItEUR::U Computing and Information Technology
    Language: English
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  • 10
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    Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems—known as cyber-physical systems—that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners.
    Keywords: Software Engineering ; Cyber-physical systems, IoT ; Special Purpose and Application-Based Systems ; Computer Applications ; Computer-Aided Engineering (CAD, CAE) and Design ; Open Access ; Embedded and cyber-physical systems ; Software design engineering ; Model-driven software engineering ; Modelica ; Performance Analysis ; Design Languages ; System Description Languages ; System and Modeling ; DEVS ; Statecharts ; Petri Nets ; Multi-Paradigm Modeling ; AADL ; Concurrency Modeling ; Electrical engineering ; Cybernetics & systems theory ; Expert systems / knowledge-based systems ; Information technology: general issues ; Computer-aided design (CAD) ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGC Computer-aided design (CAD)
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