Hybridizing artificial bee colony with monarch butterfly optimization for numerical optimization problems WAHM Ghanem, A Jantan Neural Computing and Applications 30 (1), 163-181, 2018 | 72 | 2018 |
Cyber intrusion detection system based on a multiobjective binary bat algorithm for feature selection and enhanced bat algorithm for parameter optimization in neural networks WAHM Ghanem, SAA Ghaleb, A Jantan, AB Nasser, SAM Saleh, A Ngah, ... IEEE Access 10, 76318-76339, 2022 | 64 | 2022 |
An efficient intrusion detection model based on hybridization of artificial bee colony and dragonfly algorithms for training multilayer perceptrons WAHM Ghanem, A Jantan, SAA Ghaleb, AB Nasser IEEE Access 8, 130452-130475, 2020 | 60 | 2020 |
A Cognitively Inspired Hybridization of Artificial Bee Colony and Dragonfly Algorithms for Training Multi-layer Perceptrons WAHM Ghanem, A Jantan Cognitive Computation 10 (46), 1-39, 2018 | 58 | 2018 |
A new approach for intrusion detection system based on training multilayer perceptron by using enhanced Bat algorithm WAHM Ghanem, A Jantan Neural Computing and Applications, 1-34, 2019 | 57 | 2019 |
Novel multi-objective artificial bee colony optimization for wrapper based feature selection in intrusion detection W Ghanem, A Jantan Int. J. Adv. Soft Comput. Appl 8 (1), 70-81, 2016 | 49 | 2016 |
Training a Neural Network for Cyberattack Classification Applications Using Hybridization of an Artificial Bee Colony and Monarch Butterfly Optimization WAHM Ghanem, A Jantan Neural Processing Letters 51 (1), 905–946, 2020 | 43 | 2020 |
An enhanced Bat algorithm with mutation operator for numerical optimization problems WAHM Ghanem, A Jantan Neural Computing and Applications, 1-35, 2017 | 43 | 2017 |
Using hybrid artificial bee colony algorithm and particle swarm optimization for training feed-forward neural networks. WALIHM GHANEM, A JANTAN Journal of Theoretical and Applied Information Technology 67 (3), 2014 | 28 | 2014 |
Security Issues and Threats Facing the Electronic Enterprise Leadership YAB El-Ebiary, S Almandeel, WAHM Ghanem, W Abu-Ulbeh, ... 2020 International Conference on Informatics, Multimedia, Cyber and …, 2021 | 26 | 2021 |
Improving accuracy of applications fingerprinting on local networks using NMAP-AMAP-ETTERCAP as a hybrid framework WAHM Ghanem, B Belaton 2013 IEEE international conference on control system, computing and …, 2013 | 24 | 2013 |
Training neural networks by enhance grasshopper optimization algorithm for spam detection system SAA Ghaleb, M Mohamad, SA Fadzli, WAHM Ghanem IEEE Access 9, 116768-116813, 2021 | 21 | 2021 |
Using Modified Bat Algorithm to Train Neural Networks for Spam Detection A Jantan, WAHM Ghanem, SAA Ghaleb Journal of Theoretical and Applied Informtion Technology 95 (24), 12, 2017 | 19 | 2017 |
Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN A Salem, R Abd-Rahman, WAHM Ghanem, S Al-Gailani, S Al-Ameri Computers, Materials & Continua 68 (3), 3755-3771, 2021 | 16 | 2021 |
Feature Selection by Multi-objective Optimization: Application to Spam Detection System by Neural Networks and Grasshopper Optimization Algorithm SAA Ghaleb, M Mohamad, WAHM Ghanem, AB Nasser, M Ghetas, ... IEEE Access 10, 98475-98489, 2022 | 14 | 2022 |
An adaptive opposition-based learning selection: The case for Jaya algorithm AB Nasser, KZ Zamli, F Hujainah, WAHM Ghanem, AMHY Saad, ... IEEE Access 9, 55581-55594, 2021 | 14 | 2021 |
Swarm intelligence and neural network for data classification WAHM Ghanem, A Jantan 2014 IEEE International Conference on Control System, Computing and …, 2014 | 14 | 2014 |
Integrating mutation operator into grasshopper optimization algorithm for global optimization SAA Ghaleb, M Mohamad, EFH Syed Abdullah, WAHM Ghanem Soft Computing 25 (13), 8281-8324, 2021 | 13 | 2021 |
Metaheuristic Based IDS Using Multi-objective Wrapper Feature Selection and Neural Network Classification WAHM Ghanem, YAB El-Ebiary, M Abdulnab, M Tubishat, NAM Alduais, ... International Conference on Advances in Cyber Security, 384-401, 2021 | 12 | 2021 |
New Approach to Improve Anomaly Detection Using A Neural Network Optimized By Hybrid ABC And PSO Algorithms WAHM Ghanem, A Jantan Pak. J. Statist 34 (1), 01-14, 2018 | 12 | 2018 |