About the Journal
| Journal Identity | ||
|---|---|---|
 |
Title | BIMA (Bulletin of Intelligent Machines and Algorithms) |
| E-ISSN | XXXX-XXXX | |
| P-ISSN | XXXX-XXXX | |
| Issue Frequency | Bimonthly, continuous publication starting in January | |
| Publisher and Address | Maheswari Publisher - Sekeloa Timur 200A, Sekeloa, Coblong, Bandung City, Indonesia | |
| Website Publisher | www.cendikiainovasi.org | |
| Editor in Chief | Dr. Nur Alamsyah, S.T., M.Kom. | |
| License | Creative Commons Attribute 4.0 International License | |
BIMA (Bulletin of Intelligent Machines and Algorithms) is an international peer-reviewed journal dedicated to promoting research in the fields of artificial intelligence, machine learning, and algorithms. BIMA serves as a platform for publishing the latest research findings and innovative applications in these rapidly evolving fields. The journal aims to contribute to the academic and professional development of researchers, practitioners, and educators by publishing high-quality articles that provide in-depth insights into the theoretical, practical, and computational aspects of intelligent systems and algorithms.
Focus and Scope
BIMA publishes original research articles, reviews, and technical reviews on various topics related to intelligent machines and algorithms. The scope of this journal includes, but is not limited to:
- Artificial Intelligence: Methodologies, algorithms, and architectures for building intelligent systems, including knowledge representation, reasoning, learning, and perception.
- Machine Learning: Supervised, unsupervised, semi-supervised, and reinforcement learning algorithms; applications in real-world problems.
- Deep Learning: Advanced neural network architectures such as CNNs, RNNs, Transformers, and their applications in various domains including image, video, text, and signal processing.
- Computer Vision: Image processing, object detection and recognition, image segmentation, motion analysis, and visual scene understanding in intelligent systems.
- Data Mining: Techniques for extracting patterns and knowledge from large datasets.
- Optimisation Algorithms: Theory and applications of optimization techniques in continuous and discrete domains.
- Computational Intelligence: Evolutionary algorithms, fuzzy logic, and swarm intelligence systems.
- Natural Language Processing (NLP): Advances in language understanding, translation, and text analysis.
- Robotics and Autonomous Systems: Intelligent robots, human-robot interaction, and autonomous vehicles.
- Applications: Applications of artificial intelligence and algorithms in healthcare, finance, industry, education, and other fields.
Publication Frequency
BIMA is published bimonthly, with issues scheduled for January, March, May, July, September, and November. Each issue contains peer-reviewed articles that reflect the latest developments in the field of intelligent machines and algorithms.
Editorial Mission
BIMA's editorial mission is to provide a forum for academic exchange and to promote a deeper understanding of the principles and practices that shape the field of intelligent systems and algorithm design. We strive to publish works that not only enrich theoretical knowledge but also bridge the gap between research and industrial practice. This journal emphasises interdisciplinary research that demonstrates the practical implications and real-world applications of artificial intelligence (AI) and algorithms.
Peer Review Process
BIMA follows a rigorous double-blind peer review process, ensuring that all submitted manuscripts are critically evaluated by experts in the field. This process is designed to maintain the highest standards of academic integrity and ensure the publication of high-quality research. Manuscripts are evaluated based on originality, significance, clarity, and the reliability of methodology and results.
Open Access Policy
BIMA follows an open access publication model, making all articles available free of charge to readers worldwide. This aligns with our commitment to global knowledge dissemination, enabling researchers and professionals to access the latest developments in intelligent systems and algorithms without barriers.
Ethical Guidelines
BIMA adheres to the highest ethical standards in scientific publishing. Authors are expected to follow ethical principles in their research, including honesty, integrity, and transparency. Plagiarism, data falsification, and data manipulation are strictly prohibited. In addition, authors are required to disclose any potential conflicts of interest that may influence their research or interpretation.
Submission Guidelines
Authors are invited to submit original research articles, surveys, and technical notes related to the scope of the journal. Submissions must follow the journal's formatting guidelines, available on our submission portal. Manuscripts will undergo an initial screening, followed by peer review. Upon acceptance, authors will be notified, and the article will be prepared for publication.
Editorial Board
The BIMA Editorial Board consists of leading researchers, academics, and industry professionals who are experts in the fields of artificial intelligence, machine learning, and algorithms. The editorial board works collaboratively to ensure the highest quality of published content and to guide the journal's vision and strategy.
Audience
BIMA is intended for a wide range of readers, including:
- Academics and researchers working in artificial intelligence, data science, and computational algorithms.
- Industry professionals seeking to stay updated on the latest research and trends in intelligent systems and algorithms.
- Educators and students looking for academic resources and materials on advanced topics in AI and algorithm design.
- Policymakers and technologists interested in the societal implications of AI and automation.
