Rula A. Hamid

Orcid: 0000-0003-4714-002X

According to our database1, Rula A. Hamid authored at least 14 papers between 2020 and 2024.

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Bibliography

2024
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks.
Inf. Fusion, May, 2024

Explainable Artificial Intelligence Multimodal of Autism Triage Levels Using Fuzzy Approach-Based Multi-criteria Decision-Making and LIME.
Int. J. Fuzzy Syst., 2024

2023
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues.
Artif. Intell. Rev., October, 2023

Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T-spherical fuzzy-weighted zero-inconsistency method.
Comput. Intell., April, 2023

Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features.
Neural Comput. Appl., 2023

2022
Dempster-Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart diseases.
J. Ambient Intell. Humaniz. Comput., 2022

Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review.
Comput. Biol. Medicine, 2022

2021
IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art.
J. Netw. Comput. Appl., 2021

Interval type 2 trapezoidal-fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e-tourism applications.
Int. J. Intell. Syst., 2021

How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management.
Comput. Sci. Rev., 2021

Telehealth utilization during the Covid-19 pandemic: A systematic review.
Comput. Biol. Medicine, 2021

Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy-TOPSIS methods.
Artif. Intell. Medicine, 2021

2020
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.
J. Medical Syst., 2020

Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods.
Int. J. Inf. Technol. Decis. Mak., 2020


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