Probabilistic modeling and fusion for image feature extraction with applications to license plate detection. - Rami Al-Hmouz; Subhash Challa; Duc Vo (VISAPP (1), 2007)

Enhanced learner model for adaptive mobile learning. - Ahmed Al-Hmouz; Jun Shen 001; Jun Yan 005; Rami Al-Hmouz (iiWAS, 2010)

Bayesian Fusion Algorithm for Inferring Trust in Wireless Sensor Networks. - Mohammad Momani; Subhash Challa; Rami Al-Hmouz (J. Networks, 2010)

License plate localization based on a probabilistic model. - Rami Al-Hmouz; Subhash Challa (Mach. Vis. Appl., 2010)

Modeling Mobile Learning System Using ANFIS. - Ahmed Al-Hmouz; Jun Shen 001; Jun Yan 005; Rami Al-Hmouz (ICALT, 2011)

Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning. - Ahmed Al-Hmouz; Jun Shen 001; Rami Al-Hmouz; Jun Yan 005 (IEEE Trans. Learn. Technol., 2012)

Granular representation schemes of time series: A study in an optimal allocation of information granularity. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (FOCI, 2013)

The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity. - Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq; Abdullah Saeed Balamash (IEEE Trans. Cybern., 2013)

From data to granular data and granular classifiers. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (FUZZ-IEEE, 2014)

License plate localization using a statistical analysis of Discrete Fourier Transform signal. - Rami Al-Hmouz; Khalid Aboura (Comput. Electr. Eng., 2014)

Risk Assessment Algorithm in Wireless Sensor Networks using Beta Distribution. - Mohammad Momani; Maen Takruri; Rami Al-Hmouz (CoRR, 2014)

Building granular fuzzy decision support systems. - Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq; Abdullah Saeed Balamash (Knowl. Based Syst., 2014)

Description and prediction of time series: A general framework of Granular Computing. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash (Expert Syst. Appl., 2015)

An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling. - Abdullah Saeed Balamash; Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq (Expert Syst. Appl., 2015)

Fuzzy decision making and consensus: Challenges. - Francisco Javier Cabrerizo; Francisco Chiclana; Rami Al-Hmouz; Ali Morfeq; Abdullah Saeed Balamash; Enrique Herrera-Viedma (J. Intell. Fuzzy Syst., 2015)

Designing granular fuzzy models: A hierarchical approach to fuzzy modeling. - Witold Pedrycz; Rami Al-Hmouz; Abdullah Saeed Balamash; Ali Morfeq (Knowl. Based Syst., 2015)

Description and classification of granular time series. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (Soft Comput., 2015)

Distributed proximity-based granular clustering: towards a development of global structural relationships in data. - Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq; Abdullah Saeed Balamash (Soft Comput., 2015)

Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order. - Witold Pedrycz; Rami Al-Hmouz; Abdullah Saeed Balamash; Ali Morfeq (IEEE Trans. Fuzzy Syst., 2015)

Models of time series with time granulation. - Rami Al-Hmouz; Witold Pedrycz (Knowl. Inf. Syst., 2016)

Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts. - Juan Antonio Morente-Molinera; Rami Al-Hmouz; Ali Morfeq; Abdullah Saeed Balamash; Enrique Herrera-Viedma (J. Multiple Valued Log. Soft Comput., 2016)

Perspective-oriented data analysis through the development of information granules of order 2. - Abdullah Saeed Balamash; Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq (Int. J. Approx. Reason., 2017)

Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance. - Osman Taylan; Mohamed A. Zytoon; Ali Morfeq; Rami Al-Hmouz; Enrique Herrera-Viedma (J. Intell. Fuzzy Syst., 2017)

Granular classifiers and their design through refinement of information granules. - Abdullah Saeed Balamash; Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq (Soft Comput., 2017)

Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. - Francisco Javier Cabrerizo; Rami Al-Hmouz; Ali Morfeq; Abdullah Saeed Balamash; María Ángeles Martínez 001; Enrique Herrera-Viedma (Soft Comput., 2017)

Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing. - Witold Pedrycz; Rami Al-Hmouz; Abdullah Saeed Balamash; Ali Morfeq (Soft Comput., 2017)

Development of Multimodal Biometric Systems with Three-Way and Fuzzy Set-Based Decision Mechanisms. - Rami Al-Hmouz; Witold Pedrycz; Khaled Daqrouq; Ali Morfeq (Int. J. Fuzzy Syst., 2018)

Granular description of data in a non-stationary environment. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (Soft Comput., 2018)

Hierarchical System Modeling. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (IEEE Trans. Fuzzy Syst., 2018)

Logic-driven autoencoders. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (Knowl. Based Syst., 2019)

Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures. - Rami Al-Hmouz; Witold Pedrycz; Khaled Daqrouq; Ali Morfeq; Ahmed Al-Hmouz (Soft Comput., 2019)

Granular autoencoders: concepts and design. - Witold Pedrycz; Rami Al-Hmouz; Abdullah Saeed Balamash; Ali Morfeq (Soft Comput., 2019)

Fuzzy-Based Histogram Partitioning for Bi-Histogram Equalisation of Low Contrast Images. - Mohammad Farhan Khan; Deepali Goyal; Muaffaq M. Nofal; Ekram Khan; Rami Al-Hmouz; Enrique Herrera-Viedma (IEEE Access, 2020)

Estimating incomplete information in group decision making: A framework of granular computing. - Francisco Javier Cabrerizo; Rami Al-Hmouz; Ali Morfeq; María Ángeles Martínez 001; Witold Pedrycz; Enrique Herrera-Viedma (Appl. Soft Comput., 2020)

Data Description Through Information Granules: A Multiview Perspective. - Abdullah Saeed Balamash; Witold Pedrycz; Rami Al-Hmouz; Ali Morfeq (Int. J. Fuzzy Syst., 2020)

A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures. - Juan Antonio Morente-Molinera; X. Wu; Ali Morfeq; Rami Al-Hmouz; Enrique Herrera-Viedma (Inf. Fusion, 2020)

Reinforcing Synthetic Data for Meticulous Survival Prediction of Patients Suffering From Left Ventricular Systolic Dysfunction. - Mohammad Farhan Khan; Rajesh Kumar Gazara; Muaffaq M. Nofal; Sohom Chakrabarty; Elham M. A. Dannoun; Rami Al-Hmouz; Mohammad Mursaleen (IEEE Access, 2021)

Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science". - Fuyuan Xiao 001; Masayoshi Aritsugi; Jemal H. Abawajy; Zehong Cao; Rami Al-Hmouz; Peide Liu (Int. J. Fuzzy Syst., 2021)

A data variability index: Quantifying complexity of models and analyzing adversarial data. - Rami Al-Hmouz; Witold Pedrycz; Ahmed Chiheb Ammari; Ahmed Al-Hmouz (Int. J. Intell. Syst., 2022)

Fuzzy relational representation, modeling and interpretation of temporal data. - Rami Al-Hmouz; Witold Pedrycz; Medhat Awadallah; Ahmed Al-Hmouz (Knowl. Based Syst., 2022)

Logic-Oriented Autoencoders and Granular Logic Autoencoders: Developing Interpretable Data Representation. - Rami Al-Hmouz; Witold Pedrycz; Abdullah Saeed Balamash; Ali Morfeq (IEEE Trans. Fuzzy Syst., 2022)

Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies. - Juan Antonio Morente-Molinera; Yinglin Wang; Zaiwu Gong; Ali Morfeq; Rami Al-Hmouz; Enrique Herrera-Viedma (IEEE Trans. Fuzzy Syst., 2022)

Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies. - Juan Antonio Morente-Molinera; Ali Morfeq; Rami Al-Hmouz; E. B. Ashary; J. F. Su; Enrique Herrera-Viedma (Appl. Soft Comput., 2023)

The Effect of a Weighted Mean Pooling on the Performance of Convolution Neural Network. - Inas Shadoul; Abdulnasir Hossen; Mostefa Mesbah; Rami Al-Hmouz (ISPR (1), 2024)

Granular transfer learning. - Rami Al-Hmouz; Witold Pedrycz; Medhat Awadallah; Ahmed Chiheb Ammari (Neurocomputing, 2024)

Counterfactuals in fuzzy relational models. - Rami Al-Hmouz; Witold Pedrycz; Ahmed Chiheb Ammari (Artif. Intell. Rev., 2024)

Artificial Intelligence Techniques With Digital Twin for Fault Diagnosis in Interconnected Systems: A Review. - Imen Nakti; Majdi Mansouri; Rami Al-Hmouz; Atef Khedher (IEEE Access, 2025)

Computer vision based approaches for fish monitoring systems: a comprehensive study. - Said Al-Abri; Sanaz Keshvari; Khalfan Al-Rashdi; Rami Al-Hmouz; Hadj Bourdoucen (Artif. Intell. Rev., 2025)

The effect of pooling parameters on the performance of convolution neural network. - Inas Shadoul; Rami Al-Hmouz; Abdulnasir Hossen; Mostefa Mesbah; Muhammet Deveci (Artif. Intell. Rev., 2025)