Fatimah Alhayan

According to our database, Fatimah Alhayan authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Improving M-Health applications recommendation using fine-tune graph neural networks.

Manal Ayadi, Atta Ur Rahman, Amel Ksisbi, Fatimah Alhayan, Salam Ullah Khan

Clust. Comput., October, 2025

A blockchain-based solution for enhancing the efficiency and security of healthcare knowledge management systems in the era of industry 4.0.

Yang Yuman, S. B. Goyal, Anand Singh Rajawat, Manoj Kumar, Achyut Shankar, Fatimah Alhayan, Shakila Basheer

Wirel. Networks, February, 2025

DA-FIS: A high-speed dynamic adaptive fault injection server framework for reliable FPGA-based embedded systems.

Fatimah Alhayan, Gaganjot Kaur, Sultan Alanazi, Mohammed Burhanur Rehman, Wahida Mansouri, Da'ad Albalawneh, Ali Alqazzaz, Hanadi Alkhudhayr

PeerJ Comput. Sci., 2025

Neural networks and sentiment features for extremist content detection in arabic social media.

Hanen T. Himdi, Fatimah Alhayan, Khaled Shaalan

Int. Arab J. Inf. Technol., 2025

2024

Ensemble learning approach for distinguishing human and computer-generated Arabic reviews.

Fatimah Alhayan, Hanen T. Himdi

PeerJ Comput. Sci., 2024

Detection of cyberhate speech towards female sport in the Arabic Xsphere.

Fatimah Alhayan, Monerah Almobarak, Hawazen Shalabi, Luluwah Alshubaili, Renad Albatati, Wafa Alqahtani, Nofe Alhaidari

PeerJ Comput. Sci., 2024

Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection.

Nabeela Yaqoob, Muhammad Attique Khan, Saleha Masood, Hussain Mobarak Albarakati, Ameer Hamza, Fatimah Alhayan, Leila Jamel, Anum Masood

Frontiers Comput. Neurosci., 2024

Unveiling Deception in Arabic: Optimization of Deceptive Text Detection Across Formal and Informal Genres.

Fatimah Alhayan, Hanen T. Himdi, Basma Alharbi

IEEE Access, 2024

2023

Twitter use by the dementia community during COVID-19: a user classification and social network analysis.

Fatimah Alhayan, Diane Rasmussen Pennington, Sarra Ayouni

Online Inf. Rev., 2023

2022

"She Seems More Human": Understanding Twitter Users' Credibility Assessments of Dementia-Related Information.

Fatimah Alhayan, Diane Rasmussen Pennington, Ian Ruthven

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022