Aliya Aleryani

According to our database, Aliya Aleryani authored at least 10 papers between 2018 and 2026.

Collaborative distances:

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

2026

SDN-Empowered Hybrid Deep Learning Inspired Proactive Threat Hunting Framework for Enhancing Edge-Based Consumer Electronics Security.

Aliya Aleryani, Zaid Bassfar, Zuhair M. Mohammedsaleh, Majed Mohammed Aborokbah

IEEE Trans. Consumer Electron., February, 2026

2025

BNResNet: Batch Normalization-Inspired Deep Bottleneck Residual Architecture for Aerial Scene Recognition in Low-Contrast Remote Sensing Images.

Saddaf Rubab, Muhammad Sami Ullah, Muhammad Attique Khan, Mohammad Shabaz, Aliya Aleryani, Monia Turki-Hadj Alouane, Fatimah Alhayan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

FMANet: Super-Resolution Inverted Bottleneck-Fused Self-Attention Architecture for Remote Sensing Satellite Image Recognition.

Fatima Rauf, Muhammad Attique Khan, Muhammad Kashif Bhatti, Ameer Hamza, Aliya Aleryani, Monia Turki-Hadj Alouane, Dina Abdulaziz Alhammadi, Yunyoung Nam

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Contemporary Study for Detection of COVID-19 Using Machine Learning with Explainable AI.

Saad Akbar, Humera Azam, Sulaiman Sulmi Almutairi, Omar Saad Alqahtani, Habib Shah, Aliya Aleryani

Comput. Mater. Continua, 2024

HADE: Exploiting Human Action Recognition Through Fine-Tuned Deep Learning Methods.

Misha Karim, Shah Khalid, Aliya Aleryani, Nasser Tairan, Zafar Ali, Farman Ali

IEEE Access, 2024

Human Action Recognition Systems: A Review of the Trends and State-of-the-Art.

Misha Karim, Shah Khalid, Aliya Aleryani, Jawad Khan, Irfan Ullah, Zafar Ali

IEEE Access, 2024

2023

Optimal path selection using reinforcement learning based ant colony optimization algorithm in IoT-Based wireless sensor networks with 5G technology.

Ghanshyam Prasad Dubey, Shalini Stalin, Omar Saad Alqahtani, Areej Alasiry, Madhu Sharma, Aliya Aleryani, Piyush Kumar Shukla, Monia Turki-Hadj Alouane

Comput. Commun., December, 2023

Multiple Imputation Ensembles for Time Series (MIE-TS).

Aliya Aleryani, Aaron Bostrom, Wenjia Wang, Beatriz de la Iglesia

ACM Trans. Knowl. Discov. Data, April, 2023

2020

Multiple Imputation Ensembles (MIE) for Dealing with Missing Data.

Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia

SN Comput. Sci., 2020

2018

Dealing with Missing Data and Uncertainty in the Context of Data Mining.

Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018