Albahri, O.S.

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

Albahri, A. S., Duhaim, A. M., Fadhel, M. A., Alnoor, A., Baqer, N. S., Alzubaidi, L., Albahri, O. S., Alamoodi, A. H., Bai, J., Salhi, A., et al. (2023) · Information Fusion

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 716

Telehealth utilization during the Covid-19 pandemic: a systematic review

Garfan, S., Alamoodi, A. H., Zaidan, B. B., Al-Zobbi, M., Hamid, R. A., Alwan, J. K., Ahmaro, I. Y. Y., Khalid, E. T., Jumaah, F. M., Albahri, O. S., et al. (2021) · Computers in Biology and Medicine

Telemedicine and Telehealth ImplementationHealthcare during COVID-19 Pandemic

Cited by 369

How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management

Hamid, R. A., Albahri, A. S., Alwan, J. K., Al-qaysi, Z. T., Albahri, O. S., Zaidan, A. A., Alnoor, A., Alamoodi, A. H., & Zaidan, B. B. (2021) · Computer Science Review

Recommender Systems and TechniquesDiverse Aspects of Tourism Research

Cited by 273

Hybrid artificial neural network and structural equation modelling techniques: A survey

Albahri, A. S., Alnoor, A., Zaidan, A. A., Albahri, O. S., Hameed, H., Zaidan, B. B., Peh, S. S., Zain, A. B., Siraj, S. B., Masnan, A. H. B., et al. (2022) · Complex & Intelligent Systems

Neural Networks and ApplicationsPsychometric Methodologies and Testing

Cited by 173

Conceptual framework for the security of mobile health applications on Android platform

Hussain, M., Zaidan, A. A., Zidan, B. B., Iqbal, S., Ahmed, M. M., Albahri, O. S., & Albahri, A. S. (2018) · Telematics and Informatics

Mobile Health and mHealth ApplicationsAdvanced Malware Detection Techniques

Cited by 122

Based Blockchain-PSO-AES techniques in finger vein biometrics: a novel verification secure framework for patient authentication

Mohsin, A. H., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Albahri, A. S., Alsalem, M. A., & Mohammed, K. I. (2019) · Computer Standards & Interfaces

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 89

Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks

Albahri, A. S., Hamid, R. A., Abdulnabi, A. R., Albahri, O. S., Alamoodi, A. H., Deveci, M., Pedrycz, W., Alzubaidi, L., Santamaría, J., & Gu, Y. (2024) · Information Fusion

Vehicular Ad Hoc Networks (VANETs)Adversarial Robustness in Machine Learning

Cited by 55