Afraa Al-Zeidi
Biographic Data
| ID | 10119467 |
|---|---|
| NAME | Afraa Al-Zeidi |
| GIVEN NAMES | Afraa |
| FAMILY NAME | Al-Zeidi |
| SIGNATURE | AL-ZEIDI A |
| AFFILIATIONS | University of Buraimi |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Advancing user classification models
In this paper, we assess the results of experiment with different machine learning algorithms for the data classification on the basis of accuracy, precision, recall and F1-Score metrics. We collected metrics like Accuracy, F1-Score, Precision, and Recall: From the Neural Network model, it produced the highest Accuracy of 0.129526 also highest F1-Score of 0.118785, showing that it has the correct balance of precision and recall ratio that can pic…
An intelligent online human-computer interaction tool for adapting educational content to diverse learning capabilities across Arab cultures
Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-le…
No prominent works on this page.
Advancing user classification models
In this paper, we assess the results of experiment with different machine learning algorithms for the data classification on the basis of accuracy, precision, recall and F1-Score metrics. We collected metrics like Accuracy, F1-Score, Precision, and Recall: From the Neural Network model, it produced the highest Accuracy of 0.129526 also highest F1-Score of 0.118785, showing that it has the correct balance of precision and recall ratio that can pic…
An intelligent online human-computer interaction tool for adapting educational content to diverse learning capabilities across Arab cultures
Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-le…
Computer Science (2 works) · Artificial Intelligence (1 work) · Computer security (1 work) · Data science (1 work) · Human–computer interaction (1 work) · Machine learning (1 work) · Multimedia (1 work) · Online and Blended Learning (1 work) · Online learning (1 work) · Password (1 work)