Ryan Alturki
Orcid: 0000-0002-0967-1885
According to our database1,
Ryan Alturki
authored at least 48 papers
between 2019 and 2025.
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Bibliography
2025
TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0.
IEEE Trans. Consumer Electron., May, 2025
A Lightweight Cloud-Edge Collaborative Intelligence Inference Framework With Runtime Dynamic Optimization for Resource-Constrained Consumer Electronics.
IEEE Trans. Consumer Electron., May, 2025
A Blockchain-Based Distributed Collaborative Sensing and Spectrum Access Approach for Consumer Electronics.
IEEE Trans. Consumer Electron., May, 2025
Data-Driven DLT3 Federated Deep Reinforcement Learning for Secure and Efficient Autonomous Driving.
IEEE Trans. Consumer Electron., May, 2025
Fused Fuzzy Deep Learning and Information Steganography for Privacy Preservation in Medical Consumer Electronics.
IEEE Trans. Consumer Electron., May, 2025
IEEE Trans. Consumer Electron., May, 2025
Future Gener. Comput. Syst., 2025
2024
One-step graph-based multi-view clustering via specific and unified nonnegative embeddings.
Int. J. Mach. Learn. Cybern., December, 2024
FEDge-HAR: An Optimized Private Mobile Edge-Enabled IoT Paradigm for Privacy of Human Activity Recognition.
IEEE Internet Things J., December, 2024
Equality Test Public Key Encryption With Cryptographic Reverse Firewalls for Cloud-Based E-Commerce.
IEEE Trans. Consumer Electron., November, 2024
Explainable Detection of Fake News on Social Media Using Pyramidal Co-Attention Network.
IEEE Trans. Comput. Soc. Syst., August, 2024
A Novel IDS with a Dynamic Access Control Algorithm to Detect and Defend Intrusion at IoT Nodes.
Sensors, April, 2024
Decoding the third dimension in the metaverse: A comprehensive method for reconstructing 2D NFT portraits into 3D models.
Appl. Soft Comput., 2024
A Secured and Optimized Broadcast Authentication Scheme for the Internet of Medical Things.
Proceedings of the International Conference on Electrical, 2024
Proceedings of the International Conference on Electrical, 2024
2023
A Secure Ensemble Learning-Based Fog-Cloud Approach for Cyberattack Detection in IoMT.
IEEE Trans. Ind. Informatics, October, 2023
Mob. Networks Appl., October, 2023
An improved deep learning mechanism for EEG recognition in sports health informatics.
Neural Comput. Appl., July, 2023
Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks.
Inf., May, 2023
Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications.
Digit. Commun. Networks, April, 2023
IEEE Internet Things J., March, 2023
A Trustworthy, Reliable, and Lightweight Privacy and Data Integrity Approach for the Internet of Things.
IEEE Trans. Ind. Informatics, 2023
Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT.
IEEE Trans. Ind. Informatics, 2023
Enabled Artificial Intelligence (AI) to Develop Sehhaty Wa Daghty App of Self-Management for Saudi Patients with Hypertension: A Qualitative Study.
Inf., 2023
2022
A reliable wireless communication mechanisms and decision support system for the IoT networks.
Soft Comput., 2022
Poor Compliance of Diabetic Patients with AI-Enabled E-Health Self-Care Management in Saudi Arabia.
Inf., 2022
Comput. Syst. Sci. Eng., 2022
Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile.
Comput. Biol. Medicine, 2022
NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite.
Comput. Biol. Medicine, 2022
2021
Intelligent Detection System Enabled Attack Probability Using Markov Chain in Aerial Networks.
Wirel. Commun. Mob. Comput., 2021
The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of Classification.
Sci. Program., 2021
Augmented Reality for Autistic Children to Enhance Their Understanding of Facial Expressions.
Multimodal Technol. Interact., 2021
BP Neural Network Combination Prediction for Big Data Enterprise Energy Management System.
Mob. Networks Appl., 2021
Mob. Inf. Syst., 2021
Identification of Pneumonia Disease Applying an Intelligent Computational Framework Based on Deep Learning and Machine Learning Techniques.
Mob. Inf. Syst., 2021
RSSI-Controlled Long-Range Communication in Secured IoT-Enabled Unmanned Aerial Vehicles.
Mob. Inf. Syst., 2021
Mob. Inf. Syst., 2021
A Proposed Application for Controlling Overweight and Obesity within the Framework of the Internet of Things.
Mob. Inf. Syst., 2021
Mob. Inf. Syst., 2021
A mutual authentication scheme for establishing secure device-to-device communication sessions in the edge-enabled smart cities.
J. Inf. Secur. Appl., 2021
Mutual Authentication Scheme for the Device-to-Server Communication in the Internet of Medical Things.
IEEE Internet Things J., 2021
Impact of Residual Hardware Impairment on the IoT Secrecy Performance of RIS-Assisted NOMA Networks.
IEEE Access, 2021
IEEE Access, 2021
Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks.
IEEE Access, 2021
2019
Improving mobile fitness and weight loss apps to help Saudis overcoming obesity. Case study : Akser Waznk app
PhD thesis, 2019
Proceedings of the Recent Trends and Advances in Wireless and IoT-enabled Networks, 2019