Abeer Aljohani

Orcid: 0000-0002-4164-4940

According to our database1, Abeer Aljohani authored at least 24 papers between 2017 and 2026.

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

2026
Data-Driven Brain Tumor Classification Using CNNs with Trainable Gabor and LoG Feature Mining Layers.
Int. J. Comput. Intell. Syst., December, 2026

Deepfake video detection using Vision Transformers: exploiting self-attention for visual manipulation detection.
Vis. Comput., January, 2026

FedCapD: Federated class-incremental learning via capsule distillation and diffusion replay.
Neurocomputing, 2026

2025
AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations.
BMC Medical Informatics Decis. Mak., December, 2025

Data driven decisions in education using a comprehensive machine learning framework for student performance prediction.
Discov. Comput., December, 2025

Throughput Enhancement of High-Bandwidth Wireless Network Using Deep Double Q-Network Algorithm.
Mob. Networks Appl., April, 2025

A novel deep learning based approach with hyperparameter selection using grey wolf optimization for leukemia classification and hematologic malignancy detection.
PeerJ Comput. Sci., 2025

Efficient and provably secured puncturable attribute-based signature for Web 3.0.
Future Gener. Comput. Syst., 2025

FedTinyMed: Federated learning enabled tiny multi task machine learning model for smart healthcare monitoring for IoMT.
Comput. Electr. Eng., 2025

2024
Secured Data Sharing Method for Wireless Communication Network Based on Digital Twin and Merkle Hash Tree.
Mob. Networks Appl., December, 2024

A hybrid framework for glaucoma detection through federated machine learning and deep learning models.
BMC Medical Informatics Decis. Mak., December, 2024

Late feature fusion using neural network with voting classifier for Parkinson's disease detection.
BMC Medical Informatics Decis. Mak., December, 2024

Optimizing Patient Stratification in Healthcare: A Comparative Analysis of Clustering Algorithms for EHR Data.
Int. J. Comput. Intell. Syst., December, 2024

Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection.
Int. J. Comput. Intell. Syst., December, 2024

A lightweight security model for ensuring patient privacy and confidentiality in telehealth applications.
Comput. Hum. Behav., April, 2024

A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets.
J. King Saud Univ. Comput. Inf. Sci., February, 2024

2023
A collaborative filtering recommendation algorithm based on embedding representation.
Expert Syst. Appl., April, 2023

Minimizing Total Tardiness in a Two-Machine Flowshop Scheduling Problem with Availability Constraints.
Intell. Autom. Soft Comput., 2023

TG-SMR: A Text Summarization Algorithm Based on Topic and Graph Models.
Comput. Syst. Sci. Eng., 2023

2022
A Fuzzy Grouping Genetic Algorithm for Solving a Real-World Virtual Machine Placement Problem in a Healthcare-Cloud.
Algorithms, 2022

An Improved Ant Colony Algorithm for Solving a Virtual Machine Placement Problem in a Cloud Computing Environment.
IEEE Access, 2022

2019
An exploration of methodologies to improve semi-supervised hierarchical clustering with knowledge-based constraints.
PhD thesis, 2019

An Effective and Efficient Constrained Ward's Hierarchical Agglomerative Clustering Method.
Proceedings of the Intelligent Systems and Applications, 2019

2017
A Comparison of Distance Metrics in Semi-supervised Hierarchical Clustering Methods.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017


  Loading...