Author:
Talpur Noureen,Jadid Abdulkadir Said,Akashah Patah Akhir Emelia,Hilmi Hasan Mohd,Alhussian Hitham,Hafizul Afifi Abdullah Mohd
Funder
Universiti Teknologi Petronas
Yayasan UTP
Reference67 articles.
1. M. H. A. Abdullah, M. Othman, S. Kasim, S. S. Saharuddin, and S. A. Mohamed, “A Spiking Neural Networks Model withFuzzy-Weighted k-Nearest Neighbour Classifier for Real-World Flood Risk Assessment,” in Recent Advances on Soft Computing and Data Mining, Cham, R. Ghazali, N. M. Nawi, M. M. Deris, and J. H. Abawajy, Eds., 2020// 2020: Springer International Publishing, pp. 222-230
2. Evolving spiking neural networks methods for classification problem: a case study in flood events risk assessment;Abdullah;Indonesian J. Electric. Eng. Comput. Sci.,2019
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5. A novel evolutionary arithmetic optimization algorithm for multilevel thresholding segmentation of COVID-19 CT images;Abualigah;Processes,2021
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