Announcement iconContinuing Accepting Applications for Admission !!
for the Spring Semester of the Academic Year 2019/2020

Prof. Mohammed Awad Publications

Article
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
Book Chapter
Date Title
2020 ALIGNING LEARNING MATERIALS AND ASSESSMENT WITH COURSE LEARNING OUTCOMES IN MOOCS USING DATA MINING TECHNIQUES
Conference Paper
Date Title
2017 Short-Term Forecasting of Climate Conditions in North of Palestine Using Artificial Neural Networks
2010 Function Approximation Using Genetic Algorithms for Evaluation of Centers and Radii of RBFNNs
2007 Enhanced Clustering Technique in RBF Neural Network for Function Approximation
2005 Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
2005 Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Mode
2004 Multigrid-Based Fuzzy Systems for Time Series Forecasting: Overcoming the curse of dimensionality