Madini O. Alassafi
Orcid: 0000-0001-9919-8368Affiliations:
- King Abdulaziz University, Department of Information Technology, Jeddah, Saudi Arabia
- University of Southampton, UK (PhD 2018)
  According to our database1,
  Madini O. Alassafi
  authored at least 56 papers
  between 2015 and 2025.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2025
Kanformer: an attention-enhanced deep learning model for predicting student performance in virtual learning environments.
    
  
    Soc. Netw. Anal. Min., December, 2025
    
  
Correction: Securing IIoT operations with recurrent federated network-based enhanced local search grasshopper.
    
  
    Neural Comput. Appl., April, 2025
    
  
DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students.
    
  
    IEEE Access, 2025
    
  
A Comprehensive Comparative Analysis of Deep Learning Models for Student Performance Prediction in Virtual Learning Environments: Leveraging the OULA Dataset and Advanced Resampling Techniques.
    
  
    IEEE Access, 2025
    
  
  2024
Genetic algorithm-based secure cooperative control for high-order nonlinear multi-agent systems with unknown dynamics.
    
  
    J. Cloud Comput., December, 2024
    
  
Enabling Efficient Vehicle-Road Cooperation Through AIoT: A Deep Learning Approach to Computational Offloading.
    
  
    IEEE Internet Things J., November, 2024
    
  
Securing IIoT operations with recurrent federated network-based enhanced local search grasshopper.
    
  
    Neural Comput. Appl., September, 2024
    
  
    Signal Image Video Process., July, 2024
    
  
Scale based entropy measures and deep learning methods for analyzing the dynamical characteristics of cardiorespiratory control system in COVID-19 subjects during and after recovery.
    
  
    Comput. Biol. Medicine, March, 2024
    
  
Opposition-based differential evolution for synchronized control of multi-agent systems with uncertain nonlinear dynamics.
    
  
    Appl. Soft Comput., January, 2024
    
  
The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review.
    
  
    Comput. Educ. Artif. Intell., 2024
    
  
  2023
Fully supervised contrastive learning in latent space for face presentation attack detection.
    
  
    Appl. Intell., October, 2023
    
  
    Scientometrics, March, 2023
    
  
A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection.
    
  
    IEEE Access, 2023
    
  
Taking All the Factors We Need: A Multimodal Depression Classification With Uncertainty Approximation.
    
  
    IEEE Access, 2023
    
  
  2022
    Digit. Commun. Networks, December, 2022
    
  
AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval.
    
  
    Sensors, 2022
    
  
Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality.
    
  
    Neural Comput. Appl., 2022
    
  
Adaptive tracking control for nonlinear system in pure-feedback form with prescribed performance and unknown hysteresis.
    
  
    IMA J. Math. Control. Inf., 2022
    
  
Fuzzy Command Filter Backstepping Control for Incommensurate Fractional-Order Systems via Composite Learning.
    
  
    Int. J. Fuzzy Syst., 2022
    
  
Distributed Consensus Tracking Control of Chaotic Multi-Agent Supply Chain Network: A New Fault-Tolerant, Finite-Time, and Chatter-Free Approach.
    
  
    Entropy, 2022
    
  
  2021
C2S2-LOOP: Circular Chessboard-Based Secure Source Location Privacy Model Using ECC-ALO in WSN.
    
  
    Wirel. Commun. Mob. Comput., 2021
    
  
Predicting catastrophic temperature changes based on past events via a CNN-LSTM regression mechanism.
    
  
    Neural Comput. Appl., 2021
    
  
On Knowledge Discovery and Representations of Molecular Structures Using Topological Indices.
    
  
    J. Artif. Intell. Soft Comput. Res., 2021
    
  
Fuzzy synchronization of fractional-order chaotic systems using finite-time command filter.
    
  
    Inf. Sci., 2021
    
  
Switched-observer-based adaptive output-feedback control design with unknown gain for pure-feedback switched nonlinear systems via average dwell time.
    
  
    Int. J. Syst. Sci., 2021
    
  
    Int. J. Cloud Appl. Comput., 2021
    
  
    CoRR, 2021
    
  
Success indicators for an efficient utilization of cloud computing in healthcare organizations: Saudi healthcare as case study.
    
  
    Comput. Methods Programs Biomed., 2021
    
  
  2020
An Effective Knowledge-Based Modeling Approach towards a "Smart-School Care Coordination System" for Children and Young People with Special Educational Needs and Disabilities.
    
  
    Symmetry, 2020
    
  
    Sensors, 2020
    
  
    Future Internet, 2020
    
  
    Biomed. Signal Process. Control., 2020
    
  
An Autoregressive Exogenous Neural Network to Model Fire Behavior via a Naïve Bayes Filter.
    
  
    IEEE Access, 2020
    
  
Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging.
    
  
    IEEE Access, 2020
    
  
    IEEE Access, 2020
    
  
    IEEE Access, 2020
    
  
  2019
Corrigendum to: "An exploratory study for investigating the critical success factors for cloud migration in the Saudi Arabian higher education context" [Telematics and Informatics, 34 (2017) 664-678].
    
  
    Telematics Informatics, 2019
    
  
Corrigendum to: "A framework for critical security factors that influence the decision of cloud adoption by Saudi government agencies" [Telematics and Informatics, 34 (2017) 996-1010].
    
  
    Telematics Informatics, 2019
    
  
    Int. J. Distributed Sens. Networks, 2019
    
  
Smart Relay Selection Scheme Based on Fuzzy Logic with Optimal Power Allocation and Adaptive Data Rate Assignment.
    
  
    Int. J. Commun. Networks Inf. Secur., 2019
    
  
A Conceptual Framework for Successful E-commerce Smartphone Applications: The Context of GCC.
    
  
    CoRR, 2019
    
  
    IEEE Access, 2019
    
  
Real-Time Surveillance Through Face Recognition Using HOG and Feedforward Neural Networks.
    
  
    IEEE Access, 2019
    
  
    IEEE Access, 2019
    
  
Determining Factors Pertaining to Cloud Security Adoption Framework in Government Organizations: An Exploratory Study.
    
  
    IEEE Access, 2019
    
  
    Proceedings of the 4th International Conference on Complexity, 2019
    
  
  2018
    Proceedings of the 3rd International Conference on Internet of Things, 2018
    
  
  2017
An exploratory study for investigating the critical success factors for cloud migration in the Saudi Arabian higher education context.
    
  
    Telematics Informatics, 2017
    
  
A framework for critical security factors that influence the decision of cloud adoption by Saudi government agencies.
    
  
    Telematics Informatics, 2017
    
  
  2016
    Proceedings of the Fifth International Conference on Future Communication Technologies, 2016
    
  
  2015
Security in Organisations: Governance, Risks and Vulnerabilities in Moving to the Cloud.
    
  
    Proceedings of the Enterprise Security - Second International Workshop, 2015