Your research paper should be structured as follows:
Introduction:Introduction to the problem domain.
Significance of the problem.
Brief description of the dataset.
Literature Review:A review of existing methods that have been used in the problem domain.
Any existing challenges or gaps in the current methodologies.
Methods:Detailed description of the AI/data science techniques you applied.
Reasons for selecting these methods.
Any preprocessing steps undertaken.
Description of the dataset (features, number of samples, any specific characteristics).
Results:Present the results obtained using your methods.
Use appropriate visualizations like graphs, charts, etc.
Provide screenshots of relevant sections of code and output.
Discussion:Interpretation of the results.
How do your results compare with existing methods (if any comparisons were made)?
Any challenges faced and how they were overcome.
Limitations of your study.
Conclusion:Summary of your findings.
Potential implications of your work.
Suggestions for future work in this domain.
References:Ensure all sources, including datasets and code libraries, are appropriately cited.
Use peer-reviewed sources wherever possible.
Submission Format:
The paper should be a minimum of 5 pages and a maximum of 15 pages, including references.
Use 12-point Times New Roman font, double-spaced.
Ensure all figures, tables, and code snippets are appropriately labeled and referenced in the text.
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