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One-dimensional vs. two-dimensional based features: Plant identification approach (2016)
Journal Article
Tharwat, A., Gaber, T., & Hassanien, A. (2017). One-dimensional vs. two-dimensional based features: Plant identification approach. Journal of Applied Logic, 24(Part B), 15-31. https://doi.org/10.1016/j.jal.2016.11.021

The number of endangered species has been increased due to shifts in the agricultural production, climate change, and poor urban planning. This has led to investigating new methods to address the problem of plant species identification/classification... Read More about One-dimensional vs. two-dimensional based features: Plant identification approach.

Proceedings of the international conference on advanced intelligent systems and informatics 2016 (2016)
Book
Gaber, T., Hassanien, A., Shaalan, K., Azar, A., & Tolba, M. (2016). Proceedings of the international conference on advanced intelligent systems and informatics 2016. Cham: Springer. https://doi.org/10.1007/978-3-319-48308-5

This book gathers the proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI2016), which took place in Cairo, Egypt during October 24–26, 2016. This international interdisciplinary conference, which high... Read More about Proceedings of the international conference on advanced intelligent systems and informatics 2016.

Biometric cattle identification approach based on Weber's local descriptor and AdaBoost classifier (2016)
Journal Article
Gaber, T., Tharwat, A., Hassanien, A., & Snasel, V. (2016). Biometric cattle identification approach based on Weber's local descriptor and AdaBoost classifier. Computers and Electronics in Agriculture, 122, https://doi.org/10.1016/j.compag.2015.12.022

In this paper, we proposed a new and robust biometric-based approach to identify head of cattle. This approach used the Weber Local Descriptor (WLD) to extract robust features from cattle muzzle print images (images from 31 head of cattle were used).... Read More about Biometric cattle identification approach based on Weber's local descriptor and AdaBoost classifier.