Theory of Probability and Mathematical Statistics, published by the Tarás Shevchenko National University of Kyiv, Faculty of Mechanics and Mathematics, serves as a vital resource for academics and practitioners in the field of statistics and probability. With an ISSN of 0094-9000 and E-ISSN 1547-7363, this journal aims to advance theoretical insights and practical applications related to probability theory and statistical methods. Operating from the heart of Ukraine, this journal has been influential since its inception in 2004 and continues to contribute to the academic community as it converges through a significant period until 2024. Despite currently not offering Open Access options, it maintains a respectable Q3 classification in both Statistics and Probability, highlighting its stability within the scholarly landscape. The journal's Scopus rankings further emphasize its specialization, ranking #121 in Statistics, Probability, and Uncertainty, and #203 in Mathematics, underscoring its importance for researchers, students, and professionals seeking to enrich their understanding and foster innovation in these disciplines.

International Journal of Machine Learning and Cybernetics, published by SPRINGER HEIDELBERG, serves as a pivotal platform for scholars and practitioners in the fields of Artificial Intelligence, Computer Vision, and Software Engineering. With its impressive Q2 and Q1 rankings in esteemed categories such as Artificial Intelligence and Computer Vision and Pattern Recognition, this journal boasts a commendable reputation within the academic community, further solidified by its Scopus rankings that place it in the top percentiles of its category. This journal covers critical advancements and research trends spanning the years from 2010 to 2024, facilitating knowledge exchange that drives innovation in machine learning and cybernetics. Although it operates under a subscription model, it remains accessible for extensive readership, comprising researchers, professionals, and students eager to advance their understanding in this dynamic and rapidly evolving discipline. Stay at the forefront of technology by engaging with the latest findings and methodologies published in this influential journal, identified by its ISSN 1868-8071 and E-ISSN 1868-808X.

The INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, published by TAYLOR & FRANCIS LTD, is a prestigious peer-reviewed journal dedicated to advancing the fields of systems theory and its applications across a variety of scientific disciplines. With an ISSN of 0308-1079 and an E-ISSN of 1563-5104, this journal has carved a niche since its inception in 1974, continuing to provide a platform for innovative research through to 2024. Featured in the esteemed Q2 category in multiple domains, including Computer Science Applications, Control and Systems Engineering, and Information Systems, it serves as a vital resource for the scientific community, fostering interdisciplinary collaboration. The journal's rankings in Scopus reflect its quality, with noteworthy positions in fields such as Mathematics, Engineering, and Theoretical Computer Science. While access is through subscription, the journal remains an essential conduit for researchers, professionals, and students eager to deepen their understanding of general systems and their complex interactions within various environments.

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

MACHINE LEARNING is a premier academic journal published by SPRINGER, dedicated to advancing the field of artificial intelligence and software engineering. Established in 1986, this journal has consistently showcased pioneering research and innovative methodologies that facilitate the understanding and application of machine learning techniques across various domains. With an impressive impact factor reflecting its high-quality publications, it is classified within the top quartile (Q1) in both Artificial Intelligence and Software categories as of 2023, underscoring its critical role in these fields. The journal boasts significant Scopus rankings, placing it at the 45th and 54th positions, respectively, in Computer Science - Software and Computer Science - Artificial Intelligence, further validating its stature as a vital resource for researchers, professionals, and students alike. While not an open-access journal, MACHINE LEARNING ensures that its comprehensive peer-reviewed articles are widely circulated, fostering academic dialogue and innovation. The journal continues to be a go-to platform for cutting-edge research, providing invaluable insights and contributions that drive the future of machine learning.

Welcome to the INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, a prestigious publication dedicated to advancing the fields of artificial intelligence, control systems engineering, information systems, and software research. Published by WORLD SCIENTIFIC PUBL CO PTE LTD in Singapore, this journal serves as a vital forum for the dissemination of innovative theories, methodologies, and applications rooted in the coexistence of uncertainty and fuzziness within knowledge-based systems. With its ISSN 0218-4885 and E-ISSN 1793-6411, the journal consistently ranks in the Q3 category across various Scopus categories, including Control and Systems Engineering and Information Systems, reflecting its influential position in the academic community. Researchers and practitioners alike will find valuable insights and the latest trends through its comprehensive articles, making this journal an essential resource for those seeking to navigate the complexities of this evolving field.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, published by SPRINGER HEIDELBERG, is a prestigious academic journal that has played a pivotal role in the field of statistical mathematics since its inception in 1949. With a focus on advancing research in statistics and probability, this journal is ranked in the Q2 quartile for 2023, indicating its significance and impact within the academic community. Researchers and professionals engaged in statistical theory and methodology will find the journal's comprehensive coverage of contemporary issues essential for furthering their work and understanding of the discipline. The journal is accessible in print and digital formats, facilitating wide dissemination of knowledge among its readership. With a history of rigorous peer review and a commitment to high-quality research, the ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS continues to be a vital resource for academics and practitioners alike.

ADVANCES IN ENGINEERING SOFTWARE, published by Elsevier Science Ltd, stands at the forefront of interdisciplinary research in the realms of engineering and software development. With an impressive impact factor reflected in its Q1 and Q2 rankings in the Engineering (Miscellaneous) and Software categories, respectively, this journal serves as an essential platform for researchers and practitioners alike to disseminate innovative findings and methodologies from 1982 to the present. Strategically positioned within the United Kingdom, it engages scholars, professionals, and students by publishing high-quality articles that emphasize advancements in software applications related to engineering challenges. Although it does not currently offer open access, the journal remains highly regarded within the academic community, consistently attracting impactful research and maintaining a commendable Scopus ranking within the top tiers of both general engineering and software disciplines. Explore the latest contributions to enhance your knowledge and stay updated on trailblazing developments in engineering software.

Metron-International Journal of Statistics is a prestigious peer-reviewed journal published by SPRINGER-VERLAG ITALIA SRL, dedicated to advancing the field of statistics and probability. With an ISSN of 0026-1424 and an E-ISSN of 2281-695X, this journal has been a vital platform for scholarly research since its inception in 1973, showcasing works that redefine methodologies and applications within the field. Positioning itself in Q3 of the 2023 statistics category quartiles, Metron aims to foster dialogue and innovation among researchers and practitioners. Although currently not an open-access publication, it provides invaluable insights that contribute significantly to the statistical community's body of knowledge. Serving a diverse global audience, the journal encourages submissions that address both theoretical frameworks and practical applications in statistics, promising to enhance the rigor and relevance of statistical practice. Based in Milan, Italy, Metron continues to uphold its commitment to excellence in statistical research through thorough peer review and a focus on impactful findings.

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a prestigious academic journal established in 1995 that serves as a critical platform for disseminating innovative research in the rapidly evolving fields of artificial intelligence, pattern recognition, and computer vision. With a focus on advancing theoretical and applied methodologies, the journal aims to bridge the gap between research and practical applications, making it essential reading for researchers, professionals, and students alike. The journal holds strong rankings within its categories, placing it in the Q4 for Artificial Intelligence, Q3 for Computer Vision and Pattern Recognition, and Q3 for Software as of 2023. Despite its growing influence, it continues to provide a rich resource for studies at the intersection of machine learning and computer science. The INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE not only contributes to academic discourse but also acts as a catalyst for technological advancement, making a significant impact on the scientific community.