

ISSN (Online): 3067-753X
The International Journal of Scientific Research in Artificial Intelligence and Machine Learning (ISCSITR-IJSRAIML) welcomes original, high-quality research papers that contribute to advancements in artificial intelligence (AI) and machine learning (ML) theory, methodologies, and applications. To maintain rigorous academic standards, authors are required to adhere to the following submission guidelines:
ISCSITR-IJSRAIML accepts the following types of manuscripts:
Each manuscript should include the following sections in the specified order:
A brief summary (max 250 words) highlighting the purpose, methods, key results, and significance of the study.
Provide 4-6 keywords that represent the core topics of the manuscript.
Present the background of the study, emphasizing the research gap and objectives of the paper.
Provide a detailed description of the methods, models, and algorithms used in the research. The section should be replicable.
Clearly present the findings using tables, figures, or charts where necessary. Avoid repetition of data already included in figures/tables.
Interpret the results, compare them with prior research, discuss implications, and address any limitations. Suggest future research directions.
Summarize the key findings and their impact on the AI and ML field.
Mention funding sources, institutional support, or contributors not listed as authors.
Use APA format for references, listed alphabetically. All references must be cited in the text.
Examples:
Authors must submit their papers via email to iscsitr@gmail.com.
A cover letter must accompany the manuscript, outlining:
All manuscripts will be screened for plagiarism. ISCSITR-IJSRAIML follows strict anti-plagiarism policies, and submissions with high similarity scores will be rejected.
Authors must disclose any financial or personal conflicts of interest that might influence the results or interpretations of their research.
If the research involves human participants or animal subjects, authors must provide a statement confirming that all procedures followed the relevant ethical standards.
ISCSITR-IJSRAIML follows a double-blind peer-review process to ensure impartial and high-quality reviews.
ISCSITR-IJSRAIML is an open-access journal, ensuring free access to all published articles.
To cover publication costs, there is an Article Processing Charge (APC) payable upon acceptance.
APC details can be found on ISCSITR-IJSRAIML Website.
Upon acceptance, authors will be required to transfer copyright to ISCSITR-IJSRAIML. The journal operates under a Creative Commons Attribution License (CC BY 4.0), allowing for sharing and adaptation of the work with proper attribution.
Once accepted, the article undergoes:
For any queries regarding:
Please contact the Editorial Office at iscsitr@gmail.com.


ISSN (Online): 3067-753X

CrossRef DOI Prefix: 10.63397/ISCSITR-IJSRAIML


