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ORCIDMohammed Awad
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2020 – today
- 2024
[j23]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: 44888-44904 (2024)- [j22]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): 105454 (2024) - [j21]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): 121712 (2024) - [j20]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): 126-138 (2024) - 2023
- [j19]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: 100819 (2023) - [j18]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): 67 (2023) - [c17]Aktham Sawan, Mohammed Awad:
Assessing the Stress-Reducing Effects of Quranic Listening: An EEG-Based Classification Study. ACIT 2023: 1-9 - [c16]Sarah Elfattal, Mohammed Awad, Shadi Ben Abderrahmen:
E-voting in Literature: Analyzing Nations' Interest. CEEeGov 2023: 41-46 - [c15]Aktham Sawan, Mohammed Awad, Radwan Qasrawi:
Classification of Stroke Using Machine Learning Techniques: Review Study. ICCAD 2023: 1-8 - 2022
- [j17]Sahar Idwan, Shereen 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): 335-347 (2022) - [j16]Mohammed Dwaikat, Mohammed Awad:
Hybrid Model for Coronary Artery Disease Classification Based on Neural Networks and Evolutionary Algorithms. J. Inf. Sci. Eng. 38(5): 1001-1020 (2022) - [j15]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): 499-539 (2022) - [j14]Yaman Albadawi, Maen Takruri, Mohammed Awad:
A Review of Recent Developments in Driver Drowsiness Detection Systems. Sensors 22(5): 2069 (2022) - [j13]Mohammed Awad, Salam Fraihat, Khouloud Salameh, Aneesa Al Redhaei:
Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions. Sensors 22(16): 6164 (2022) - [c14]Aktham Sawan, Mohammed Awad, Radwan Qasrawi:
Machine Learning-based Approach for Stroke Classification using Electroencephalogram (EEG) Signals. BIODEVICES 2022: 111-117 - [c13]Mohammed Awad, Aneesa Al Redhaei, Salam Fraihat:
Using Business Intelligence to Analyze Road Traffic Accidents. CEEeGov 2022: 83-92 - [c12]Mohammed Awad, Khouloud Salameh, Assamahou Malika Ngoungoure, Maryam Abdullah:
Opinion Spamming: Analyzing the Accuracy of Online Detection Tools. CEEeGov 2022: 142-146 - 2021
- [j12]Aisha K. El Allam, Abdul-Halim M. Jallad, Mohammed Awad, Maen Takruri, Prashanth Reddy Marpu:
A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites. IEEE Access 9: 107791-107803 (2021)
2010 – 2019
- 2019
- [c11]Mohammed Awad, Khouloud Salameh, Ernst L. Leiss:
Evaluating Learning Management System Usage at a Small University. ICISDM 2019: 98-102 - 2018
- [j11]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): 5143-5158 (2018) - [j10]Jose Daniel Velazco Garcia, Mohammed Awad, Ernst L. Leiss:
Randomization of Statistical Queries of Type Median: A Simulation Approach. J. Comput. Sci. 14(1): 67-80 (2018) - [j9]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): 1757-1768 (2018) - [c10]Shereen Ismail, Amal Ahmad, Mohammed Awad, Mohammad Abdul Jawad:
Evaluating Cache Power Dissipation Across Different Process Technologies. AICCSA 2018: 1-5 - [c9]Mohammed Awad, Ernst L. Leiss:
Did Technology Fail Us?: Security Concerns in Safeguarding Democracy. ICEGOV 2018: 626-630 - 2017
- [j8]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: 1095-1105 (2017) - [j7]Mohammed Awad:
Forecasting of chaotic time series using RBF neural networks optimized by genetic algorithms. Int. Arab J. Inf. Technol. 14(6): 826-834 (2017) - [j6]Monir Foqaha, Mohammed Awad:
Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization. J. Comput. 12(5): 396-407 (2017) - 2013
- [c8]Mohammed Awad, Ernst L. Leiss:
End-to-End cryptographic voting: Potentials and limitations. ICITST 2013: 113-118 - 2012
- [j5]Mohammed Awad:
Approximating i/o data using wavelet neural networks: control the position of mother wavelet. Int. Arab J. Inf. Technol. 9(1): 22-29 (2012) - [j4]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): 286-302 (2012) - 2010
- [j3]Mohammed Awad:
Input Variable Selection Using Parallel Processing of RBF Neural Networks. Int. Arab J. Inf. Technol. 7(1): 6-13 (2010)
2000 – 2009
- 2009
- [j2]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): 138-143 (2009) - 2007
- [j1]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): 2410-2425 (2007) - 2005
- [c7]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: 613-624 - [c6]Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto:
Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288 - [c5]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: 289-296 - [c4]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: 399-406 - [c3]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: 402-411 - 2004
- [c2]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: 127-132 - [c1]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261
Coauthor Index
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