About the Journal
The International Journal of Applied Machine Learning and Computational Intelligence (IJAMLCI) serves as an academic peer-reviewed monthly journal for the exchange of research and ideas in the fields of machine learning and computational intelligence. The journal focuses on applied research that has practical implications, aiming to connect theoretical developments to real-world applications. It encompasses a wide array of topics including neural networks, natural language processing, optimization techniques, and decision support systems, among others. The journal adheres to a strict peer-review process, involving subject-matter experts who evaluate submissions for their technical rigor, originality, and relevance to the field. IJAMLCI accepts various types of articles such as research papers, review articles, technical reports, and case studies. The journal encourages interdisciplinary collaboration and aims to contribute to the development of innovative solutions for complex problems in sectors like healthcare, finance, and manufacturing.
Title: International Journal of Applied Machine Learning and Computational Intelligence (IJAMLCI)
Mission Statement: The International Journal of Applied Machine Learning and Computational Intelligence (IJAMLCI) is dedicated to advancing the cross-disciplinary fields of machine learning and computational intelligence. Our mission is to serve as a premier platform for the dissemination of cutting-edge research, innovative methodologies, and applied solutions in these rapidly evolving domains.
Scope: IJAMLCI focuses on the application of machine learning techniques and computational intelligence to real-world problems. The journal encourages submissions that demonstrate novel applications in diverse areas such as healthcare, engineering, environmental science, finance, and more. We emphasize the importance of practical, scalable solutions and the impact of machine learning and computational intelligence on societal and technological advancements.
Submission Guidelines: Submissions to IJAMLCI should present original research, comprehensive reviews, or case studies. Manuscripts must be rigorously peer-reviewed and should contribute significantly to the existing body of knowledge. Authors are encouraged to clearly articulate the practical implications of their work, along with the methodological rigor and technical details.
Editorial Policy: IJAMLCI adheres to the highest standards of academic integrity and excellence. The editorial process is guided by fairness, objectivity, and a commitment to advancing the field. The journal operates under a double-blind review process, ensuring the anonymity of both authors and reviewers to maintain the integrity of the review process.
Target Audience: Our readership includes academics, researchers, practitioners, and students who are engaged in the study and application of machine learning and computational intelligence. IJAMLCI aims to bridge the gap between theoretical research and practical applications, making it a valuable resource for a broad audience.
Impact and Outreach: IJAMLCI is committed to expanding the reach and impact of research in machine learning and computational intelligence. We engage with a global community of scholars and practitioners through conferences, workshops, and collaborative networks. The journal also emphasizes the importance of interdisciplinary research and the cross-pollination of ideas from different fields.