Machines and Algorithms

About the Journal

Machines and Algorithms is a peer-reviewed, open-access scientific journal in the domain of Computer Science and related disciplines. The journal publishes various types of articles, including original research, short communications, review articles, case studies, and invited commentaries. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing. Machines and Algorithms encourage authors of original research papers to describe work such as the following:

• Articles in the areas of computational approaches, artificial intelligence, big data, software engineering, cybersecurity, internet of things, and data analysis.
• Reports substantive results on a wide range of learning methods applied to a variety of learning problems.
• Articles provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena.
• Articles that respond to a need in medicine, or rare data analysis with novel methods.
• Articles that involve healthcare professional's motivation for the work and evolutionary results are usually necessary.
• Articles show how to apply learning methods to solve important application problems.

Machines and Algorithms (MnA) accepts interdisciplinary field that studies and pursues the effective uses of computational and biomedical data, information, and knowledge for scientific inquiry, problem-solving, and decision making, motivated by efforts to improve human health. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.

Objectives

The objectives of Machines and Algorithms journal is to publish high quality research that:

• Explore novel learning methods and their application to complex computational problems.
• Provide strong empirical, theoretical, or analytical support for proposed methods.
• Address real-world challenges in fields such as healthcare, rare data analysis, and big data processing.
• Encourage interdisciplinary research that integrates AI, data science, and engineering to develop scalable and impactful solutions.

Open Access Statement

• Machines and Algorithms is a fully open access journal. All articles are made immediately available upon publication without any embargo period.

• In accordance with the Budapest Open Access Initiative (BOAI) definition of open access, all content is freely accessible without charge to the user or their institution.

• Users are permitted to read, download, copy, distribute, print, search, or link to the full texts of the articles, and use them for any lawful purpose, without prior permission from the publisher or the authors.

• All articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

• Authors retain full copyright of their work.