Zeina Al Masry

Orcid: 0000-0002-6673-0140

According to our database1, Zeina Al Masry authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A data quality management framework for equipment failure risk estimation: Application to the oil and gas industry.
Eng. Appl. Artif. Intell., 2024

A Methodology for Reliability Analysis of Explainable Machine Learning: Application to Endocrinology Diseases.
IEEE Access, 2024

Breast Cancer Detection Using Smart Wearable Devices with Thermal Sensors.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data.
Neuroinformatics, October, 2023

RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier.
IEEE Trans. Reliab., March, 2023

Beyond Motor Symptoms: Toward a Comprehensive Grading of Parkinson's Disease Severity.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
A deep learning pipeline for breast cancer ki-67 proliferation index scoring.
CoRR, 2022

A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography.
CoRR, 2022

2021
Stochastic comparisons and ageing properties of an extended gamma process.
J. Appl. Probab., 2021

A CNN-based methodology for breast cancer diagnosis using thermal images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications.
Comput. Ind., 2021

Deep LSTM Enhancement for RUL Prediction Using Gaussian Mixture Models.
Autom. Control. Comput. Sci., 2021

Towards Digital Twins Driven Breast Cancer Detection.
Proceedings of the Intelligent Computing, 2021

2019
Firemen Prediction by Using Neural Networks: A Real Case Study.
Proceedings of the Intelligent Systems and Applications, 2019


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