MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. - Luis Javier Herrera; Ignacio Rojas Ruiz; Héctor Pomares; Olga Valenzuela; Jesús González 001; Mohammed Awad (ESANN, 2004)

Multigrid-based fuzzy systems for time series prediction: CATS competition. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Jesús González 001; Mohammed Awad; Ana Herrera (IJCNN, 2004)

MultiGrid-Based Fuzzy Systems for Function Approximation. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Olga Valenzuela; Mohammed Awad (MICAI, 2004)

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Mohammed Awad; Olga Valenzuela (ECSQARU, 2005)

Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach. - Mohammed Awad; Héctor Pomares; Luis Javier Herrera; Jesús González 001; Alberto Guillén; Fernando Rojas 001 (IWANN, 2005)

Input Variable Selection in Hierarchical RBF Networks. - Mohammed Awad; Héctor Pomares; Ignacio Rojas; Luis Javier Herrera; Alberto Prieto (IWANN, 2005)

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Jesús González 001; Mohammed Awad (IWANN, 2005)

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Mohammed Awad; Jesús González 001 (RSFDGrC (1), 2005)

Multigrid-based fuzzy systems for time series prediction: CATS competition. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Jesús González 001; Mohammed Awad; Ana Herrera (Neurocomputing, 2007)

Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering. - Mohammed Awad; Héctor Pomares; Ignacio Rojas Ruiz; Osama Salameh; Mai Hamdon (Int. Arab J. Inf. Technol., 2009)

Input Variable Selection Using Parallel Processing of RBF Neural Networks. - Mohammed Awad (Int. Arab J. Inf. Technol., 2010)

Approximating i/o data using wavelet neural networks: control the position of mother wavelet. - Mohammed Awad (Int. Arab J. Inf. Technol., 2012)

An enhanced clustering function approximation technique for a radial basis function neural network. - Héctor Pomares; Ignacio Rojas; Mohammed Awad; Olga Valenzuela (Math. Comput. Model., 2012)

End-to-End cryptographic voting: Potentials and limitations. - Mohammed Awad; Ernst L. Leiss (ICITST, 2013)

Enhanced hybrid method of divide-and-conquer and RBF neural networks for function approximation of complex problems. - Mohammed Awad (Turkish J. Electr. Eng. Comput. Sci., 2017)

Forecasting of chaotic time series using RBF neural networks optimized by genetic algorithms. - Mohammed Awad (Int. Arab J. Inf. Technol., 2017)

Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization. - Monir Foqaha; Mohammed Awad (J. Comput., 2017)

Evaluating Cache Power Dissipation Across Different Process Technologies. - Shereen Ismail; Amal Ahmad; Mohammed Awad; Mohammad Abdul Jawad (AICCSA, 2018)

Did Technology Fail Us?: Security Concerns in Safeguarding Democracy. - Mohammed Awad; Ernst L. Leiss (ICEGOV, 2018)

Using weighted Support Vector Machine to address the imbalanced classes problem of Intrusion Detection System. - Alaeddin Alabdallah; Mohammed Awad (KSII Trans. Internet Inf. Syst., 2018)

Randomization of Statistical Queries of Type Median: A Simulation Approach. - Jose Daniel Velazco Garcia; Mohammed Awad; Ernst L. Leiss (J. Comput. Sci., 2018)

Enhanced RBF neural network model for time series prediction of solar cells panel depending on climate conditions (temperature and irradiance). - Mohammed Awad; Ibrahim Qasrawi (Neural Comput. Appl., 2018)

Evaluating Learning Management System Usage at a Small University. - Mohammed Awad; Khouloud Salameh; Ernst L. Leiss (ICISDM, 2019)

A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites. - Aisha K. El Allam; Abdul-Halim M. Jallad; Mohammed Awad; Maen Takruri; Prashanth Reddy Marpu (IEEE Access, 2021)

Machine Learning-based Approach for Stroke Classification using Electroencephalogram (EEG) Signals. - Aktham Sawan; Mohammed Awad; Radwan Qasrawi (BIODEVICES, 2022)

Using Business Intelligence to Analyze Road Traffic Accidents. - Mohammed Awad; Aneesa Al Redhaei; Salam Fraihat (CEEeGov, 2022)

Opinion Spamming: Analyzing the Accuracy of Online Detection Tools. - Mohammed Awad; Khouloud Salameh; Assamahou Malika Ngoungoure; Maryam Abdullah (CEEeGov, 2022)

Artificial neural network tactic to predict interest in majors in computing. - Sahar Idwan; Shereen Ismail; Moh'd Sami Ashhab; Mohammed Awad; Izzeddin Matar (Int. J. Comput. Aided Eng. Technol., 2022)

Hybrid Model for Coronary Artery Disease Classification Based on Neural Networks and Evolutionary Algorithms. - Mohammed Dwaikat; Mohammed Awad (J. Inf. Sci. Eng., 2022)

An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data. - Thaer Thaher; Mohammed Awad; Mohammed Aldasht; Alaa F. Sheta; Hamza Turabieh; Hamouda Chantar 001 (J. Univers. Comput. Sci., 2022)

A Review of Recent Developments in Driver Drowsiness Detection Systems. - Yaman Albadawi; Maen Takruri; Mohammed Awad (Sensors, 2022)

Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions. - Mohammed Awad; Salam Fraihat; Khouloud Salameh; Aneesa Al Redhaei (Sensors, 2022)

Assessing the Stress-Reducing Effects of Quranic Listening: An EEG-Based Classification Study. - Aktham Sawan; Mohammed Awad (ACIT, 2023)

E-voting in Literature: Analyzing Nations' Interest. - Sarah Elfattal; Mohammed Awad; Shadi Ben Abderrahmen (CEEeGov, 2023)

Classification of Stroke Using Machine Learning Techniques: Review Study. - Aktham Sawan; Mohammed Awad; Radwan Qasrawi (ICCAD, 2023)

Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm. - Salam Fraihat; Sharif Naser Makhadmeh; Mohammed Awad; Mohammed Azmi Al-Betar; Aneesa Al Redhaei (Internet Things, 2023)

Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems. - Mohammed Awad; Salam Fraihat (J. Sens. Actuator Networks, 2023)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba; Mohammed Awad (IEEE Access, 2024)

Colorectal cancer risk factor assessment in Palestine using machine learning models. - Mohammad A. Z. Abu Zuhri; Mohammed Awad; Shahnaz Najjar; Nuha El Sharif; Issa Ghrouz (Int. J. Medical Eng. Informatics, 2024)

Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG). - Aktham Sawan; Mohammed Awad; Radwan Qasrawi; Mohammad Sowan (Biomed. Signal Process. Control., 2024)

Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization. - Thaer Thaher; Alaa F. Sheta; Mohammed Awad; Mohammed Aldasht (Expert Syst. Appl., 2024)

A crossover-integrated Marine Predator Algorithm for feature selection in intrusion detection systems within IoT environments. - Sharif Naser Makhadmeh; Salam Fraihat; Mohammed Awad; Yousef K. Sanjalawe; Mohammed Azmi Al-Betar; Mohammed A. Awadallah 001 (Internet Things, 2025)