Mohammed Awad

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Recent Developments

Intrusion Detection System

Recursive Feature Elimination

Top Venues

Publications

Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba, Mohammed Awad
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access 12 (2024)
Aktham Sawan, Mohammed Awad, Radwan Qasrawi, Mohammad Sowan
Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG). Biomed. Signal Process. Control. 87 (Part A) (2024)
Mohammad A. Z. Abu Zuhri, Mohammed Awad, Shahnaz Najjar, Nuha El Sharif, Issa Ghrouz
Colorectal cancer risk factor assessment in Palestine using machine learning models. Int. J. Medical Eng. Informatics 16 (2) (2024)
Thaer Thaher, Alaa F. Sheta, Mohammed Awad, Mohammed Aldasht
Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization. Expert Syst. Appl. 238 (Part A) (2024)
Aktham Sawan, Mohammed Awad
Assessing the Stress-Reducing Effects of Quranic Listening: An EEG-Based Classification Study. ACIT (2023)
Sarah Elfattal, Mohammed Awad, Shadi Ben Abderrahmen
E-voting in Literature: Analyzing Nations' Interest. CEEeGov (2023)
Aktham Sawan, Mohammed Awad, Radwan Qasrawi
Classification of Stroke Using Machine Learning Techniques: Review Study. ICCAD (2023)
Mohammed Awad, Salam Fraihat
Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems. J. Sens. Actuator Networks 12 (5) (2023)
Salam Fraihat, Sharif Naser Makhadmeh, Mohammed Awad, Mohammed Azmi Al-Betar, Aneesa Al Redhaei
Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm. Internet Things 22 (2023)
Mohammed Awad, Salam Fraihat, Khouloud Salameh, Aneesa Al Redhaei
Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions. Sensors 22 (16) (2022)
Yaman Albadawi, Maen Takruri, Mohammed Awad
A Review of Recent Developments in Driver Drowsiness Detection Systems. Sensors 22 (5) (2022)
Sahar Idwan, Shereen S. Ismail, Moh'd Sami Ashhab, Mohammed Awad, Izzeddin Matar
Artificial neural network tactic to predict interest in majors in computing. Int. J. Comput. Aided Eng. Technol. 17 (3) (2022)
Aktham Sawan, Mohammed Awad, Radwan Qasrawi
Machine Learning-based Approach for Stroke Classification using Electroencephalogram (EEG) Signals. BIODEVICES (2022)
Thaer Thaher, Mohammed Awad, Mohammed Aldasht, Alaa F. Sheta, Hamza Turabieh, Hamouda Chantar
An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data. J. Univers. Comput. Sci. 28 (5) (2022)
Mohammed Awad, Khouloud Salameh, Assamahou Malika Ngoungoure, Maryam Abdullah
Opinion Spamming: Analyzing the Accuracy of Online Detection Tools. CEEeGov (2022)
Mohammed Awad, Aneesa Al Redhaei, Salam Fraihat
Using Business Intelligence to Analyze Road Traffic Accidents. CEEeGov (2022)
Mohammed Dwaikat, Mohammed Awad
Hybrid Model for Coronary Artery Disease Classification Based on Neural Networks and Evolutionary Algorithms. J. Inf. Sci. Eng. 38 (5) (2022)
Aisha K. El Allam, Abdul-Halim M. Jallad, Mohammed Awad, Maen Takruri, Prashanth Marpu
A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites. IEEE Access 9 (2021)
Mohammed Awad, Khouloud Salameh, Ernst L. Leiss
Evaluating Learning Management System Usage at a Small University. ICISDM (2019)
Mohammed Awad, Ibrahim Qasrawi
Enhanced RBF neural network model for time series prediction of solar cells panel depending on climate conditions (temperature and irradiance). Neural Comput. Appl. 30 (6) (2018)
Jose Daniel Velazco Garcia, Mohammed Awad, Ernst L. Leiss
Randomization of Statistical Queries of Type Median: A Simulation Approach. J. Comput. Sci. 14 (1) (2018)
Alaeddin Alabdallah, Mohammed Awad
Using weighted Support Vector Machine to address the imbalanced classes problem of Intrusion Detection System. KSII Trans. Internet Inf. Syst. 12 (10) (2018)
Shereen S. Ismail, Amal Ahmad, Mohammed Awad, Mohammad Abdul Jawad
Evaluating Cache Power Dissipation Across Different Process Technologies. AICCSA (2018)
Mohammed Awad, Ernst L. Leiss
Did Technology Fail Us?: Security Concerns in Safeguarding Democracy. ICEGOV (2018)
Monir Foqaha, Mohammed Awad
Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization. J. Comput. 12 (5) (2017)
Mohammed Awad
Enhanced hybrid method of divide-and-conquer and RBF neural networks for function approximation of complex problems. Turkish J. Electr. Eng. Comput. Sci. 25 (2017)
Mohammed Awad
Forecasting of chaotic time series using RBF neural networks optimized by genetic algorithms. Int. Arab J. Inf. Technol. 14 (6) (2017)
Mohammed Awad, Ernst L. Leiss
End-to-End cryptographic voting: Potentials and limitations. ICITST (2013)
Mohammed Awad
Approximating i/o data using wavelet neural networks: control the position of mother wavelet. Int. Arab J. Inf. Technol. 9 (1) (2012)
Héctor Pomares, Ignacio Rojas, Mohammed Awad, Olga Valenzuela
An enhanced clustering function approximation technique for a radial basis function neural network. Math. Comput. Model. 55 (3-4) (2012)
Mohammed Awad
Input Variable Selection Using Parallel Processing of RBF Neural Networks. Int. Arab J. Inf. Technol. 7 (1) (2010)
Mohammed Awad, Héctor Pomares, Ignacio Rojas Ruiz, Osama Salameh, Mai Hamdon
Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering. Int. Arab J. Inf. Technol. 6 (2) (2009)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, Ana Herrera
Multigrid-based fuzzy systems for time series prediction: CATS competition. Neurocomputing 70 (13-15) (2007)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models. IWANN (2005)
Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, Alberto Guillén, Fernando Rojas
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach. IWANN (2005)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela
Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. ECSQARU (2005)
Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto
Input Variable Selection in Hierarchical RBF Networks. IWANN (2005)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Jesús González
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. RSFDGrC (1) (2005)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad
MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI (2004)
Luis Javier Herrera, Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, Jesús González, Mohammed Awad
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. ESANN (2004)