How to use this topic mapChoose the area that best describes the manuscript’s main scholarly contribution, then review the linked section scope. A topic match is a starting point; authors should also check the complete aims and scope.
Computing & Digital SciencesArtificial Intelligence & Machine Learning
This section covers artificial intelligence & machine learning within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesComputer Vision & Pattern Recognition
This section covers computer vision & pattern recognition within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesNatural Language Processing & Generative AI
This section covers natural language processing & generative ai within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesSoftware Engineering
This section covers software engineering within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesAlgorithms & Theory of Computing
This section covers algorithms & theory of computing within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesComputer Architecture & Operating Systems
This section covers computer architecture & operating systems within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesDatabases & Information Management
This section covers databases & information management within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesNetworks, Cloud & Distributed Computing
This section covers networks, cloud & distributed computing within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesCybersecurity & Privacy
This section covers cybersecurity & privacy within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesHuman–Computer Interaction
This section covers human–computer interaction within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesIoT, Edge & Embedded Computing
This section covers iot, edge & embedded computing within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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Computing & Digital SciencesData Science & Intelligent Computing
This section covers data science & intelligent computing within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
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