Abdulaziz M. Alayba

Orcid: 0000-0003-1075-1214

According to our database1, Abdulaziz M. Alayba authored at least 14 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Arabic Natural Language Processing (NLP): A Comprehensive Review of Challenges, Techniques, and Emerging Trends.
Comput., 2025

An end-to-end four tier remote healthcare monitoring framework using edge-cloud computing and redactable blockchain.
Comput. Biol. Medicine, 2025

2024
Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future.
J. Cloud Comput., December, 2024

Service based VEINS framework for vehicular Ad-hoc network (VANET): A systematic review of state-of-the-art.
Peer Peer Netw. Appl., July, 2024

Analysis of the performance of Faster R-CNN and YOLOv8 in detecting fishing vessels and fishes in real time.
PeerJ Comput. Sci., 2024

Efficient Blockchain-Based Pseudonym Authentication Scheme Supporting Revocation for 5G-Assisted Vehicular Fog Computing.
IEEE Access, 2024

CLA-FC5G: A Certificateless Authentication Scheme Using Fog Computing for 5G-Assisted Vehicular Networks.
IEEE Access, 2024

Oblivious Transfer-Based Authentication and Privacy-Preserving Protocol for 5G-Enabled Vehicular Fog Computing.
IEEE Access, 2024

Integrating Safety in VANETs: A Taxonomy and Systematic Review of VEINS Models.
IEEE Access, 2024

Lattice-Based Cryptography and Fog Computing Based Efficient Anonymous Authentication Scheme for 5G-Assisted Vehicular Communications.
IEEE Access, 2024

2022
Leveraging Arabic sentiment classification using an enhanced CNN-LSTM approach and effective Arabic text preparation.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

2018
A Combined CNN and LSTM Model for Arabic Sentiment Analysis.
Proceedings of the Machine Learning and Knowledge Extraction, 2018

Improving Sentiment Analysis in Arabic Using Word Representation.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

2017
Arabic language sentiment analysis on health services.
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017


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