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Authors
# Name
1 Katariny Abreu(katariny.lima@ufrpe.br)
2 Andréa Souza(andrea.marques@ufrpe.br)
3 Matheus Carmo(matheus.rocha@ufrpe.br)
4 Lilian Souza(lilian.arantes@ufrpe.br)
5 Carlos Rabello(carlos.rabello@ufrpe.br)
6 Denis Salvadeo(denis.salvadeo@unesp.br)
7 João Lima(joao.mlima@ufrpe.br)
8 Kellyton Brito(kellyton.brito@ufrpe.br)

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Reference
# Reference
1 Chang, N., Pyles, J. A., Marcus, A., et al. (2019). BOLD5000, a public fMRI dataset while viewing 5000 visual images. Scientific Data, v. 6, n. 1, p. 49.
2 Coronel-Reyes, J., Ramirez-Morales, I., Fernandez-Blanco, E., Rivero, D. and Pazos, A. (2018). Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. Computers and Electronics in Agriculture, v. 145, p. 1–10.
3 Duman, M., İekeroğlu, A., Yıldırım, A., Eleroğlu, H. and Camcı, Ö. (2016). Relation between egg shape index and egg quality characteristics. European Poultry Science, v. 80, p. 1–9.
4 Kakimoto, G. K., Haddadi, S. J., Araújo, P. M., et al. (2024). B2T: A Dataset of Tweets in Portuguese Language about Brazilian Banks. In Anais do VI Dataset Showcase Workshop (DSW 2024). Sociedade Brasileira de Computação.
5 Anderson, K. E., Tharrington, J. B., Curtis, P. A. and Jones, F. T. (2003). Shell Characteristics of Eggs from Historic Strains of Single Comb White Leghorn Chickens and the Relationship of Egg Shape to Shell Strength. International Journal of Poultry Science, v. 3, n. 1, p. 17–19.
6 Lima, J., Santana, M., Correa, A. and Brito, K. (2023). The use and impact of TikTok in the 2022 Brazilian presidential election. In Proceedings of the 24th Annual International Conference on Digital Government Research. ACM.
7 López Vargas, J. P. B., De Abreu, K. L., Duarte de Paula, D., et al. (2024). Alternative Non-Destructive Approach for Estimating Morphometric Measurements of Chicken Eggs from Tomographic Images with Computer Vision. Foods, v. 13, n. 24, p. 4039.
8 Narushin, V. G. (2005). Egg geometry calculation using the measurements of length and breadth. Poultry Science, v. 84, n. 3, p. 482–484.
9 Sehirli, E. and Arslan, K. (2022). An application for the classification of egg quality and haugh unit based on characteristic egg features using machine learning models. Expert Systems with Applications, v. 205, p. 117692.
10 Silva, M. de L. M., Mendonça, A. L. C., D. Neto, E. R., et al. (2024). FACTO Dataset: A Dataset of User Reports for Faulty Computer Components. In Anais do VI Dataset Showcase Workshop (DSW 2024). . Sociedade Brasileira de Computação.
11 Soltani, M. and Omid, M. (2015). Detection of poultry egg freshness by dielectric spectroscopy and machine learning techniques. LWT - Food Science and Technology, v. 62, n. 2, p. 1034–1042.
12 Wang, D.-H., Chen, H., Zhou, R.-Y., et al. (2019). Study of measurement methods on phenotype of translucent eggs. Poultry Science, v. 98, n. 12, p. 6677–6683.
13 Zhang, W., Pan, L., Tu, S., Zhan, G. and Tu, K. (2015). Non-destructive internal quality assessment of eggs using a synthesis of hyperspectral imaging and multivariate analysis. Journal of Food Engineering, v. 157, p. 41–48.
14 Zhao, J., Lin, H., Chen, Q., et al. (2010). Identification of egg’s freshness using NIR and support vector data description. Journal of Food Engineering, v. 98, n. 4, p. 408–414.