Gehad Ismail Sayed
Gehad Ismail Sayed received her Ph.D. in 2020 from the department of computer science, Faculty of Computers and Artificial Intelligence, Helwan University. She received her MSc degree in 2016 and her BSc with honor degree in 2013 and, both from the department of information technology, Faculty of Computers and Artificial Intelligence, Cairo University. Currently, she is an assistant professor in the school of computer science, Canadian International College (CIC). She has more than 40 published papers in respected journals and conferences. Her research areas include swarm intelligence, deep learning, quantum computing, optimization algorithms, machine learning, and data mining.
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Multi-Objective RSO-Based Convolutional Neural Networks
RSO is used to find the optimal values for the hyperparameters of the deep-learning Architecture
mehr als 2 Jahre vor | 1 Download |
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Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine
Optimal Foraging Algorithm for optimizing the main parameters of SVM
fast 8 Jahre vor | 2 Downloads |
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Binary Chaotic Crow Search Algorithm
Binary Chaotic Crow search algorithm for optimizing feature selection problem.
etwa 8 Jahre vor | 4 Downloads |
