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.

Statistics and Applications is an esteemed academic journal dedicated to disseminating innovative research findings and advancements within the field of statistics and its diverse applications. Published by SOC STATISTICS COMPUTER & APPLICATIONS, this journal operates under an open access model, ensuring that critical knowledge and research are freely available to researchers, professionals, and students worldwide. With an ISSN of 2454-7395, it serves as a key platform for scholars to share their insights on statistical methodologies, computational techniques, and novel applications across various disciplines. Although the journal’s impact factor is not currently listed, its commitment to rigorous peer review and high-quality publications positions it as a valuable resource in the continuously evolving domain of statistics. By fostering collaboration among researchers and encouraging the sharing of knowledge, Statistics and Applications contributes significantly to the advancement of statistical science and its applications in real-world problems.

The Journal of Statistical Theory and Practice is a premier publication dedicated to disseminating cutting-edge research and methodologies within the fields of statistics and probability. Published by Springer, this journal plays a crucial role in advancing the discipline by providing a platform for both theoretical and applied statistical research. With an ISSN of 1559-8608 and an E-ISSN of 1559-8616, the journal has established itself as a notable contributor to academic discourse since its inception in 2007. It offers insights that are essential for researchers, professionals, and students, fostering a deeper understanding of statistical applications across various domains. Despite its current Q3 ranking in Statistics and Probability, the journal is poised for growth, supporting the academic community with open access options and an aim to bridge the gap between statistical theory and everyday practice. By continuing to curate high-quality research, the Journal of Statistical Theory and Practice is committed to enriching the field and encouraging innovative statistical methodologies up until its envisaged convergence in 2024.

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.

Systems Science & Control Engineering, published by Taylor & Francis Ltd, stands out as a premier open-access journal devoted to the advancement of control systems, optimization methodologies, and artificial intelligence applications within engineering. Since its inception in 2013, the journal has garnered a strong reputation evidenced by its impressive categorization in 2023, ranking Q2 in Artificial Intelligence and achieving Q1 status in both Control and Optimization and Control and Systems Engineering. With a Scopus ranking that places it among the top tier of its fields—being positioned 7th in Control and Optimization—this journal serves as an essential resource for researchers, industry professionals, and students who are seeking to publish high-quality research and stay abreast of innovative developments. The journal emphasizes the integration of theoretical frameworks with practical applications, aiming to foster interdisciplinary collaboration and stimulate future research directions in systems science.

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.

Welcome to the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, a premier publication from ASME that focuses on the dynamic intersection of computing and engineering disciplines. With an ISSN of 1530-9827 and E-ISSN 1944-7078, this journal serves as a critical platform for disseminating innovative research and advancements in areas such as Computer Graphics, Computer-Aided Design, Software Engineering, and Industrial Manufacturing. The journal spans from 2001 to 2024 and has been recognized for its excellence, boasting impressive Scopus rankings including Q1 in Industrial and Manufacturing Engineering and Q2 in both Computer Graphics and Computer Science Applications. It offers a unique opportunity for researchers, professionals, and students to engage with high-impact studies and present their contributions to a diverse audience. As a member of the esteemed ASME family, this journal promotes open dialogue and fosters the growth of knowledge in technical fields, while emphasizing practical applications and interdisciplinary collaboration. Join us in exploring the forefront of computing and engineering through rigorous research and insightful articles that drive innovation and progress.

AI COMMUNICATIONS is a distinguished journal published by IOS PRESS, focusing on the dynamic field of Artificial Intelligence. With a rich history dating back to 1987, this journal covers a broad spectrum of topics, including the latest advancements in AI methodologies, applications, and implications for society. Despite holding a Q3 classification in the 2023 category of Artificial Intelligence, it provides an essential platform for dialogue and dissemination of research, highlighted by its global accessibility in the realm of AI communications. Researchers, professionals, and students alike will find a wealth of knowledge within its pages, which aim to bridge the gap between cutting-edge research and practical applications in AI. By contributing to this journal, authors have the potential to engage with a diverse audience and impact the ongoing discourse surrounding artificial intelligence technologies.

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.

NEURAL COMPUTATION, published by MIT PRESS, is a leading academic journal that focuses on the interdisciplinary field of neural computing, combining insights from artificial intelligence, cognitive neuroscience, and computational modeling. With an impressive impact factor and consistently high rankings—being positioned in the Q1 category of Arts and Humanities and Q2 in Cognitive Neuroscience—this journal serves as a vital resource for researchers and professionals interested in understanding the complex interactions between neural processes and computational systems. Founded in 1995 and continuing through its converged years until 2024, NEURAL COMPUTATION publishes cutting-edge articles that advance theoretical knowledge and practical applications in both fields. While it does not provide open access, the journal ensures rigorous peer-review processes, making it an essential platform for disseminating significant research findings. With its commitment to fostering innovation and understanding at the intersection of neuroscience and computation, NEURAL COMPUTATION stands out as a cornerstone for academic exploration and discovery.