Mohammed Awad

Orcid: 0000-0002-4698-133X

According to our database1, Mohammed Awad authored at least 38 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

Colorectal cancer risk factor assessment in Palestine using machine learning models.
Int. J. Medical Eng. Informatics, 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

Classification of Stroke Using Machine Learning Techniques: Review Study.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

E-voting in Literature: Analyzing Nations' Interest.
Proceedings of the Central and Eastern European eDem and eGov Days 2023, 2023

2022
Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions.
Sensors, 2022

A Review of Recent Developments in Driver Drowsiness Detection Systems.
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

Artificial neural network tactic to predict interest in majors in computing.
Int. J. Comput. Aided Eng. Technol., 2022

Opinion Spamming: Analyzing the Accuracy of Online Detection Tools.
Proceedings of the Central and Eastern European eDem and eGov Days, 2022

Using Business Intelligence to Analyze Road Traffic Accidents.
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
Evaluating Learning Management System Usage at a Small University.
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

Randomization of Statistical Queries of Type Median: A Simulation Approach.
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

Did Technology Fail Us?: Security Concerns in Safeguarding Democracy.
Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, 2018

Evaluating Cache Power Dissipation Across Different Process Technologies.
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
End-to-End cryptographic voting: Potentials and limitations.
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
Input Variable Selection Using Parallel Processing of RBF Neural Networks.
Int. Arab J. Inf. Technol., 2010

2009
Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering.
Int. Arab J. Inf. Technol., 2009

2007
Multigrid-based fuzzy systems for time series prediction: CATS competition.
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

Input Variable Selection in Hierarchical RBF Networks.
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

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
MultiGrid-Based Fuzzy Systems for Function Approximation.
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


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