Mohammed Awad
Orcid: 0000-0002-4698-133X
According to our database1,
Mohammed Awad
authored at least 40 papers
between 2004 and 2024.
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Bibliography
2024
Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization.
Expert Syst. Appl., March, 2024
Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG).
Biomed. Signal Process. Control., January, 2024
Int. J. Medical Eng. Informatics, 2024
IEEE Access, 2024
2023
Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems.
J. Sens. Actuator Networks, September, 2023
Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm.
Internet Things, July, 2023
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023
Proceedings of the Central and Eastern European eDem and eGov Days 2023, 2023
Assessing the Stress-Reducing Effects of Quranic Listening: An EEG-Based Classification Study.
Proceedings of the 24th International Arab Conference on Information Technology, 2023
2022
Sensors, 2022
Sensors, 2022
An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data.
J. Univers. Comput. Sci., 2022
Hybrid Model for Coronary Artery Disease Classification Based on Neural Networks and Evolutionary Algorithms.
J. Inf. Sci. Eng., 2022
Int. J. Comput. Aided Eng. Technol., 2022
Proceedings of the Central and Eastern European eDem and eGov Days, 2022
Proceedings of the Central and Eastern European eDem and eGov Days, 2022
Machine Learning-based Approach for Stroke Classification using Electroencephalogram (EEG) Signals.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites.
IEEE Access, 2021
2019
Proceedings of the 3rd International Conference on Information System and Data Mining, 2019
2018
Enhanced RBF neural network model for time series prediction of solar cells panel depending on climate conditions (temperature and irradiance).
Neural Comput. Appl., 2018
J. Comput. Sci., 2018
Using weighted Support Vector Machine to address the imbalanced classes problem of Intrusion Detection System.
KSII Trans. Internet Inf. Syst., 2018
Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, 2018
Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018
2017
Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization.
J. Comput., 2017
Forecasting of chaotic time series using RBF neural networks optimized by genetic algorithms.
Int. Arab J. Inf. Technol., 2017
Enhanced hybrid method of divide-and-conquer and RBF neural networks for function approximation of complex problems.
Turkish J. Electr. Eng. Comput. Sci., 2017
2013
Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, 2013
2012
An enhanced clustering function approximation technique for a radial basis function neural network.
Math. Comput. Model., 2012
Approximating i/o data using wavelet neural networks: control the position of mother wavelet.
Int. Arab J. Inf. Technol., 2012
2010
Int. Arab J. Inf. Technol., 2010
2009
Int. Arab J. Inf. Technol., 2009
2007
Neurocomputing, 2007
2005
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
Proceedings of the Rough Sets, 2005
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
2004
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004