Academic Sections

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Each section sets out the subject questions, methods and contribution relevant to its part of the journal.

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Academic Section

Artificial 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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Academic Section

Computer 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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Academic Section

Natural 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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Academic Section

Software 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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Academic Section

Algorithms & 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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Academic Section

Computer 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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Academic Section

Databases & 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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Academic Section

Networks, 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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Academic Section

Cybersecurity & 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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Academic Section

Human–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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Academic Section

IoT, 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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Academic Section

Data 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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