General Guidelines
- Manuscripts must be written in English and must not have been previously published or be under consideration for publication elsewhere.
- JPRID accepts original research articles, review articles, and case studies related to Artificial Intelligence, Pattern Recognition, Data Science, Computer Vision, Internet of Things (IoT), Machine Learning, Deep Learning, and related fields.
- All submissions must be made through the journal's online submission system. Authors are required to register before submitting a manuscript.
- All submitted manuscripts undergo a double-blind peer-review process to ensure scientific quality, originality, and relevance.
- Authors must prepare manuscripts using the official JPRID IEEE Template. The template can be downloaded here.
Manuscript Preparation and Structure
- Title
The title should be concise, informative, and reflect the content of the manuscript. It should not exceed 20 words and should avoid abbreviations whenever possible.
- Author Information
Author names should be followed by their affiliations, institution addresses, and email addresses. Academic titles and professional positions should not be included.
- Abstract
The abstract must be written in English and consist of 150–250 words in a single paragraph. The abstract should briefly describe:
- Research background and objectives
- Methods used
- Main findings
- Research contributions and significance
Following the abstract, provide 3–5 keywords.
- Introduction
The introduction should include:
- Research background
- Problem statement
- Literature review and related works
- Research gap and novelty
- Research objectives and contributions
- Research Method
This section should clearly describe:
- Research design
- Dataset and data collection
- Algorithms, models, or frameworks used
- Experimental setup
- Evaluation metrics
Sufficient details should be provided to allow replication of the study.
- Results and Discussion
This section presents experimental results, analyses, and interpretations. Authors should:
- Present results using tables, figures, and charts when appropriate
- Compare findings with previous studies
- Discuss strengths, limitations, and implications
- Explain the significance of the results
- Conclusion
The conclusion should summarize the main findings and contributions of the study. It should also include limitations and recommendations for future research.
- Acknowledgment (Optional)
Authors may acknowledge funding agencies, institutions, or individuals who contributed to the research.
- References
All references must follow the IEEE Citation Style. Authors are strongly encouraged to use reference management software such as Mendeley, Zotero, or EndNote.
- A minimum of 20 references is recommended.
- At least 80% of references should be journal articles published within the last 10 years.
- DOIs should be included whenever available.
- References must be cited sequentially using IEEE numbering style [1], [2], [3].
Example IEEE references:
[1] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. Cambridge, MA, USA: MIT Press, 2016.
[2] K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Las Vegas, NV, USA, 2016, pp. 770–778.
[3] T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient estimation of word representations in vector space,” arXiv:1301.3781, 2013.
[4] Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444, 2015.
Formatting Requirements
- Paper size: A4
- Format: IEEE Conference/Journal Format
- Length: 6–12 pages
- Font: Times New Roman
- Single-spaced, two-column layout
- Figures and tables must be numbered and cited in the text
- All manuscripts must be submitted in Microsoft Word (.docx) format
