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Nada Alasbali
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2020 – today
- 2025
[j11]Shahid Allah Bakhsh, Muhammad Shahbaz Khan, Oumaima Saidani, Nada Alasbali, Syed Qasim Abbas
, Muhammad Almas Khan, Jawad Ahmad
:
Enhancing Security in DNP3 Communication for Smart Grids: A Segmented Neural Network Approach. IEEE Access 13: 110436-110456 (2025)
[j10]Waqar Khan
, Jawad Ahmad, Nada Alasbali, Alanoud Al Mazroa, Mohammed S. Alshehri, Muhammad Shahbaz Khan
:
A novel transformer-based explainable AI approach using SHAP for intrusion detection in vehicular ad hoc networks. Comput. Networks 270: 111575 (2025)
[j9]Nada Alasbali, Jawad Ahmad, Ali Akbar Siddique, Oumaima Saidani, Alanoud Al Mazroa, Asif Raza, Rahmat Ullah
, Muhammad Shahbaz Khan:
Privacy-enhanced skin disease classification: integrating federated learning in an IoT-enabled edge computing. Frontiers Comput. Sci. 7 (2025)
[j8]Muhammad Umair
, Jawad Ahmad, Nada Alasbali, Oumaima Saidani, Muhammad Hanif, Aizaz Ahmad Khattak, Muhammad Shahbaz Khan:
Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning. Frontiers Comput. Neurosci. 19 (2025)
[j7]Jawad Ahmad
, Shahid Latif
, Imdad Ullah Khan
, Mohammed S. Alshehri
, Muhammad Shahbaz Khan
, Nada Alasbali, Weiwei Jiang:
An interpretable deep learning framework for intrusion detection in industrial Internet of Things. Internet Things 33: 101681 (2025)
[j6]Houneida Sakly, Ramzi Guetari, Naoufel Kraiem, Nada Abdulaziz Alasbali, Ali Al Agarni:
Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery. J. Medical Syst. 49(1): 88 (2025)
[j5]Donghua Jiang
, Jiangqun Ni
, Nada Alasbali
, Ibtehal Nafea
, Qingliang Liu, Jawad Ahmad
, Wadii Boulila
:
DDCM: Cracking Anonymized Facial Images Using Denoising Diffusion Cryptanalytic Model. IEEE Trans. Consumer Electron. 71(2): 4464-4474 (2025)
[j4]Nada Alasbali
, Fahad Masood
, Noha Alnazzawi
, Wad Ghaban
, Abdulwahab Alazeb
, Shadi Basurra, Faisal Saeed
:
IoT-UAV-Enabled Intelligent Resource Management in Low-Carbon Smart Agriculture Using Federated Reinforcement Learning. IEEE Trans. Consumer Electron. 71(2): 6933-6941 (2025)
[j3]Muhammad Shafiq
, Penghui Li
, Lihua Yin
, Nada Alasbali
, Mohammad Mahtab Alam
:
GRIOT-FENCE: Multi-View Adaptive Intrusion Detection for Trustworthy Consumer IoT Cyber Threat Analysis. IEEE Trans. Consumer Electron. 71(4): 12449-12463 (2025)
[c3]Qurat-Ul-Ain Mastoi, Abdullah Lakhan, Nada Alasbali:
A Novel Secure Federated Learning Framework for Decentralized Data Processing in IoT Edge Cloud Networks. IJCNN 2025: 1-7
[i1]Amna Naeem, Muazzam A. Khan, Nada Alasbali, Jawad Ahmad, Aizaz Ahmad Khattak, Muhammad Shahbaz Khan:
Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture. CoRR abs/2503.19339 (2025)- 2024
[j2]Ali Akbar Siddique
, Asif Raza
, Mohammed S. Alshehri
, Nada Alasbali
, Saadullah Farooq Abbasi
:
Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction. IEEE Access 12: 85929-85939 (2024)
[j1]Ali Akbar Siddique, Nada Alasbali
, Maha Driss
, Wadii Boulila
, Mohammed S. Alshehri, Jawad Ahmad
:
Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT). Internet Things 25: 101013 (2024)
[c2]Basma Mohammed J. Alshehri, Naoufel Kraiem, Houneida Sakly, Nada Alasbali
:
Enhancing Medication Safety with Large Language Models: Advanced Detection and Prediction of Drug-Drug Interactions. ATSIP 2024: 547-552- 2020
[c1]Nada Alasbali, Saaidal Razalli Azzuhri, Rosli Salleh:
A Blockchain-Based Smart Network for IoT-Driven Smart Cities. IECC 2020: 17-23
Coauthor Index

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last updated on 2026-01-07 23:26 CET by the dblp team
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