2019 |
Addressing Imbalanced Classes Problem of Intrusion Detection System Using Weighted Extreme Learning Machine |
2019 |
Prediction of Water Demand Using Artificial Neural Networks Models and Statistical Model |
2019 |
A Markovian Model for Internet of Things Application |
2018 |
Using weighted Support Vector Machine to address the imbalanced classes problem of Intrusion Detection System |
2018 |
Short-Term Forecasting of Weather Conditions in Palestine Using Artificial Neural Networks |
2018 |
Optimizing the Topology and Learning Parameters of Hierarchical RBF Neural Networks Using Genetic Algorithms |
2018 |
Prediction of General High School Exam Result Level Using Multilayer Perceptron Neural Networks |
2017 |
Short-Term Forecasting of Electricity Consumption in Palestine Using Artificial Neural Networks |
2016 |
Enhanced RBF Neural Network Model for Time Series Prediction of Solar Cells Panel Depending on Climate Conditions (Temperature and Irradiance) |
2016 |
Email Spam Classification Using Hybrid Approach of RBF Neural Network and Particle Swarm Optimization |
2016 |
Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization |
2016 |
“Enhanced Hybrid Method of Divide-and-Conquer and RBF Neural Networks for Function Approximation of Complex Problems |
2016 |
A Smart Clustering Based Approach to Dynamic Bandwidth Allocation in Wireless Networks |
2015 |
Prediction of the Power Output of Solar Cells Using Neural Networks: Solar Cells Energy Sector in Palestine |
2015 |
Forecasting of Chaotic Time Series Using RBF Neural Networks Optimized By Genetic Algorithms |
2015 |
Enhanced Method for Avoiding Worst-Case Complexity in Quicksort Algorithm |
2014 |
Using Genetic Algorithms to Optimize Wavelet Neural Networks Parameters for Function Approximation |
2012 |
An enhanced clustering function approximation technique for a radial basis function neural network |
2012 |
Approximating I/O data using Wavelet Neural Networks: Control the Position of Mother Wavelet |
2010 |
Chaotic Time series Prediction using Wavelet Neural Network |
2010 |
Optimization of Radial Basis Function Neural Networks Parameters using Genetic Algorithms: Applied on Function Approximation |
2010 |
Input Variable Selection using Parallel Processing of RBF Neural Networks |
2009 |
Prediction of Time series using RBF neural networks: a new Approach of Clustering” |
2007 |
Multigrid-based fuzzy systems for time series prediction: CATS competition |