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Prof. Mohammed Awad
Publication
Prof. Mohammed Awad Articles
Continuing Accepting Applications for Admission !!
for the Spring Semester of the Academic Year 2019/2020
Graduate Studies Programs
Bachelor’s and Diploma Programs
Prof. Mohammed Awad Articles
Date
Title
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