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BIMA — Bulletin of Intelligent Machines and Algorithms
Manuscripts submitted to BIMA (Bulletin of Intelligent Machines and Algorithms) should follow the journal's article template, author guidelines, publication ethics, and editorial policies.
Authors are expected to prepare their manuscripts carefully before submission. Manuscripts that do not meet the required formatting, structural, or submission criteria may be returned to the authors for correction before proceeding to the peer-review process.
Authors are required to prepare their manuscripts using the official BIMA article template. Using the template from the beginning of manuscript preparation will help maintain consistency in page layout, typography, headings, tables, figures, and other elements of the article.
Manuscripts should follow the A4 page layout provided in the official BIMA template.
Recommended length is 8–10 pages, including tables, figures, equations, and references.
Citations and references should follow the IEEE referencing style.
At least five relevant keywords should be provided.
Manuscripts must be prepared using A4 paper size (210 × 297 mm) and follow the page layout provided in the official BIMA template.
Authors should ensure that the manuscript contains sufficient information to communicate the research clearly and completely. The recommended article length is 8–10 pages, including tables, figures, equations, and references, unless otherwise specified by the Editorial Team.
Authors must use the font, font size, paragraph spacing, line spacing, heading styles, and other formatting specifications provided in the official BIMA template.
The main text should be formatted consistently throughout the manuscript. Authors should avoid manually modifying the fundamental layout of the template unless such changes are specifically required by the Editorial Team.
Page margins, column layout, paragraph spacing, indentation, and other page-formatting requirements must follow the official BIMA article template.
Authors are strongly encouraged to write directly within the template to minimize formatting inconsistencies during the editorial and production stages.
Tables should meet the following requirements:
Figures, diagrams, charts, photographs, and other graphical elements should be:
Figure captions should be placed below the corresponding figures. Figures reproduced or adapted from other sources must include an appropriate acknowledgment and citation. Authors are responsible for obtaining permission where copyrighted material requires permission for reuse.
Mathematical equations should be created using an editable equation editor, preferably the Microsoft Word Equation Editor, rather than being inserted as images.
Equations should be numbered consecutively where appropriate and explicitly referred to in the manuscript. Mathematical symbols, variables, parameters, and abbreviations should be clearly defined in the surrounding text.
Manuscripts should contain an adequate number of relevant and up-to-date references appropriate to the research field.
Authors are encouraged to prioritize:
Unnecessary reliance on textbooks, non-scholarly websites, blogs, and sources that do not provide strong academic evidence should be minimized.
References should primarily reflect recent developments in the research area while retaining seminal publications when they are necessary to establish important theories, methods, algorithms, or foundational concepts.
BIMA uses the IEEE referencing style. In-text citations should be numbered consecutively according to the order in which the sources first appear in the manuscript.
Authors are encouraged to use reference-management software such as Mendeley, Zotero, or EndNote to maintain consistency between in-text citations and the reference list.
Authors are responsible for the accuracy and completeness of their references. Every source cited in the manuscript must appear in the reference list, and every reference listed must be cited in the manuscript.
Authors should verify:
Manuscripts submitted to BIMA must be original and must not have been published previously in substantially similar form.
A manuscript submitted to BIMA must not simultaneously be under consideration by another journal or publication venue.
Authors are responsible for ensuring that their manuscripts do not contain plagiarism, duplicate publication, substantial text recycling, fabricated information, manipulated results, or other forms of academic misconduct.
BIMA may use plagiarism or similarity-detection tools as part of the editorial screening process.
Authors must ensure that their research has been conducted according to appropriate ethical and scientific standards.
Research involving human participants, personal data, animals, or other ethically sensitive materials must comply with applicable ethical requirements and institutional regulations.
Where applicable, authors should provide information concerning ethical approval, informed consent, data availability, or other relevant ethical considerations.
Authors remain responsible for ensuring that reported data, experimental results, images, and analyses are accurate and have not been fabricated or improperly manipulated.
Manuscripts must be submitted through the BIMA online submission system. Authors should register an account or log in to an existing account before submitting a manuscript.
Before completing a submission, authors should check the following metadata:
The following structure is recommended to ensure that the manuscript presents the research clearly and systematically.
The title should be concise, informative, specific, and representative of the main content of the research. It should communicate the principal research topic, method, approach, or contribution where appropriate.
Authors should:
The title should follow the typography and formatting specified in the official BIMA template.
Author names should be written in full without academic or professional titles. For each author, provide:
Superscript numbers should be used to associate authors with their respective affiliations. The corresponding author should be clearly identified.
The author list must accurately represent individuals who have made substantial contributions to the research and manuscript.
The abstract should be concise, informative, and representative of the entire article. It should generally cover:
The abstract should be written as a single coherent paragraph and should not contain references, tables, figures, unnecessary abbreviations, or extensive methodological details.
Authors should provide at least five keywords representing the principal concepts of the article.
Keywords should:
The Introduction should establish the scientific context and rationale of the research. It should normally address:
Previous studies should be discussed critically rather than merely listed or summarized. The research gap should be established from the literature and followed by a clear explanation of how the current study addresses that gap.
The Materials and Methods section should provide enough information for readers to understand, evaluate, and, where reasonably possible, reproduce the research.
Depending on the research design, this section may include:
For artificial intelligence, machine learning, and computational studies, authors should provide sufficient information about datasets, preprocessing, model configuration, training procedures, validation strategies, experimental settings, and evaluation metrics.
Established methods may be described briefly with appropriate citations. New or modified methods should be explained sufficiently to establish their scientific contribution and reproducibility.
The Results and Discussion section should present and interpret the findings in relation to the research objectives, questions, or hypotheses.
Results may be presented using:
The discussion should go beyond reporting numerical results. Authors should explain what the results mean, why they occurred, how they compare with previous studies, whether they support or contradict earlier findings, and what scientific or practical implications can be drawn.
For experimental AI and machine learning studies, authors are encouraged to provide suitable baseline comparisons, ablation studies, statistical analysis, or other evidence supporting the validity of the proposed approach where applicable.
The Conclusion should summarize the principal findings and directly address the research objectives or research questions.
The conclusion should:
Where appropriate, the conclusion may include research implications, limitations, and recommendations for future research.
Authors must disclose the use of generative artificial intelligence tools in manuscript preparation in accordance with BIMA's applicable AI-use policy.
Where generative AI tools have been used, authors should identify:
Authors remain fully responsible for the accuracy, originality, integrity, and scientific validity of their manuscript.
Each manuscript should include an Author Contributions statement describing the contribution of each author. Authors are encouraged to use the CRediT (Contributor Roles Taxonomy).
Possible contribution roles include:
The Acknowledgments section is optional. Authors may acknowledge individuals, institutions, laboratories, organizations, or other parties that provided assistance, facilities, technical support, administrative support, or other contributions that do not meet the criteria for authorship.
Authors must disclose all sources of financial support for the research. Where applicable, the statement should identify the funding agency or institution, grant or project number, and other relevant funding information.
If the research received no specific financial support, authors should provide an appropriate statement indicating that no specific funding was received.
Authors must disclose any actual or potential conflict of interest that could influence the research, analysis, manuscript preparation, or publication process.
Where applicable, authors are encouraged to provide information regarding the availability of datasets, source code, experimental materials, or other resources needed to support the reported findings.
When data cannot be publicly shared because of privacy, confidentiality, licensing, security, or other legitimate restrictions, authors should clearly state the applicable restrictions.
For publicly available datasets, authors should provide the dataset name, repository, DOI, or URL where possible.
The reference list should contain only sources cited in the manuscript and must follow the IEEE referencing style.
Authors are strongly encouraged to use reference-management software such as Mendeley, Zotero, or EndNote.
All references should be prepared consistently according to the IEEE referencing style.
Example:
Authors should prioritize authoritative institutional or organizational sources when citing online materials.
For datasets, software packages, repositories, and computational resources, authors should provide enough information to allow readers to identify and access the cited resource.
Where available, provide:
Authors should cite the original dataset or software publication when a formal citation is available.
Before submitting to BIMA, authors are encouraged to review each item below.
☐ The manuscript follows the official BIMA template.
☐ The manuscript falls within the recommended article length.
☐ The title accurately represents the research.
☐ All authors and affiliations are correctly provided.
☐ The corresponding author is clearly identified.
☐ The abstract meets the journal requirements.
☐ At least five relevant keywords are provided.
☐ The research gap and contribution are clearly stated.
☐ The methodology is sufficiently detailed and reproducible.
☐ Results are clearly presented and appropriately discussed.
☐ All tables and figures are numbered and cited in the manuscript.
☐ All equations remain editable.
☐ References follow the IEEE style.
☐ All citations correspond to entries in the reference list.
☐ All references in the reference list are cited in the manuscript.
☐ DOI information has been verified.
☐ The manuscript is original and is not under simultaneous consideration elsewhere.
☐ Any use of generative AI has been appropriately disclosed.
☐ Author contributions have been declared.
☐ Funding information has been provided.
☐ Conflict of interest has been declared.
☐ Data availability information has been provided where applicable.
☐ The manuscript has been carefully proofread before submission.
☐ The submission metadata in the BIMA online submission system are complete and accurate.
Submission of a manuscript to BIMA indicates that the authors have read and agree to comply with the journal's Author Guidelines, Publication Ethics, Peer-Review Policy, Copyright and Licensing Policy, and other applicable journal policies.
Failure to comply with the journal's requirements may result in the manuscript being returned to the authors for correction, delayed in the editorial process, or rejected during editorial screening.
Authors are responsible for ensuring that all information submitted to BIMA is accurate, original, ethical, and scientifically sound.