Anwar, M., A. E. Hassanien, V. Snás̃el, and S. H. Basha, "Subgraph Query Matching in Multi-Graphs Based on Node Embedding", Mathematics, vol. 10, issue 24, pp. 1-22, 2022.
Anwar, M., A. E. Hassanien, V. Snás̃el, and S. H. Basha, "Subgraph Query Matching in Multi-Graphs Based on Node Embedding", Mathematics, vol. 10, issue 24, pp. 1-22, 2022.
Zawbaa, H. M., M. Abbass, S. H.Basha, M. Hazman, and A. E. Hassenian, "An automatic flower classification approach using machine learning algorithms", 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014., 2014.
Basha, S. H., A. M. Anter, A. E. Hassanien, and A. Abdalla, "Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic", Soft Computing, 2021.
Basha, S. H., A. M. Anter, A. E. Hassanien, and A. Abdalla, "Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic", Soft Computing, 2021.
H.Basha, S., A. Abdalla, and A. E. Hassanien, "Neutrosophic rule-based classification system and its medical applications", Big Data in Psychiatry# x0026; Neurology: Academic Press, 2021.
Hefny, A., A. E. Hassanien, and S. H.Basha, "Neutrosophic rule-based identity verification system based on handwritten dynamic signature analysis", CMC-Computers, Materials & Continua, vol. 69, issue 2, pp. 2367–2386, 2021.
Annaby, M. H., S. H. Basha, and Y. M. Fouda, "Defect detection methods using boolean functions and the φ-coefficient between bit-plane slices", Optics and Lasers in Engineering, 2020.
Basha, S. S. H., Alaa Tharwat, K. Ahmed, and A. E. Hassanien, "A Predictive Model for Seminal Quality Using Neutrosophic Rule-Based Classification System", AISI, 2018. Abstract
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Basha, S. H., A. Tharwat, A. Abdalla, and A. E. Hassanien, "Neutrosophic rule-based prediction system for toxicity effects assessment of biotransformed hepatic drugs", Expert Systems with Applications, vol. 121, pp. 142-157, 2019. AbstractWebsite
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