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Parent(s):
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adding report template
Browse files- Delete_Later_report.txt +49 -1
Delete_Later_report.txt
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Report section:
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Report section:
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Title Page
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β’ Title: Term Project
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β’ Authors: Saksham Lakhera and Ahmed Zaher
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β’ Course: CSE 555 β Introduction to Pattern Recognition
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β’ Date: July 20 2025
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Abstract
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βββ’ One concise paragraph summarizing the problem, method, key results, and significance
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Keywords (optional)
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βββ’ 4 β 6 technical terms that index your paper (e.g., βpattern recognition, machine learning, CNN, EEGβ)
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Introduction
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βββ’ Problem statement and motivation
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βββ’ Objectives and contributions
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βββ’ Outline of the paper
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Background / Related Work
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βββ’ Survey of prior methods and the state of the art
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βββ’ Clear positioning of your approach relative to existing literature
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Dataset and Pre-processing
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βββ’ Data source(s), collection or selection criteria
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βββ’ Cleaning, normalization, augmentation, class balancing, etc.
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Methodology
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βββ’ Theoretical foundations and algorithms used
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βββ’ Model architecture, feature extraction, hyper-parameters
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βββ’ Assumptions and justifications
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Experimental Setup
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βββ’ Hardware / software environment
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βββ’ Train / validation / test split, cross-validation strategy
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βββ’ Evaluation metrics (accuracy, F1-score, ROC-AUC, etc.)
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Results
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βββ’ Quantitative tables and charts
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βββ’ Qualitative examples (e.g., confusion matrix, sample outputs)
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βββ’ Statistical significance tests where applicable
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Discussion
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ββ β’ Interpretation of results (why methods worked or failed)
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ββ β’ Comparison with baselines or published benchmarks
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ββ β’ Limitations of your study
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Conclusion
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ββ β’ Recap of contributions and findings
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ββ β’ Practical implications
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Future Work
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ββ β’ Concrete next steps or open problems
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Acknowledgments (if appropriate)
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ββ β’ Funding sources, collaborators, data providers
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References
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ββ β’ Properly formatted bibliography (IEEE, APA, etc.)
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Appendices (optional)
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ββ β’ Supplementary proofs, additional graphs, extensive tables, code snippets
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