Rabia Emhamed Al Mamlook

Orcid: 0000-0002-2523-7819

According to our database1, Rabia Emhamed Al Mamlook authored at least 11 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets.
J. King Saud Univ. Comput. Inf. Sci., February, 2024

2023
Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms.
Soc. Netw. Anal. Min., December, 2023

Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques.
Sensors, December, 2023

Smart Traffic Control System for Dubai: A Simulation Study Using YOLO Algorithms.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Machine Learning Approaches for Early Diagnosis of Breast Cancer: A Comparative Study of Performance Evaluation.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Classification Of Cancer Genome Atlas Glioblastoma Multiform (TCGA-GBM) Using Machine Learning Method.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Genetic Optimization Techniques for Enhancing Web Attacks Classification in Machine Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Fine-Tuning Pre-Trained Models for Automated Analysis of Ophthalmic Imaging in Diagnosing Eye Diseases.
Proceedings of the 24th International Arab Conference on Information Technology, 2023

2020
Investigation of the performance of Machine Learning Classifiers for Pneumonia Detection in Chest X-ray Images.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

Evaluate Performance Risk Score in Patients Suffering from Lung Cancer Using Survival Analysis of Statistics.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

Utilizing Machine Learning Models to Predict the Car Crash Injury Severity among Elderly Drivers.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020


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