Aisha Ahmed Alarfaj
Biographic Data
| ID | 9997509 |
|---|---|
| NAME | Aisha Ahmed Alarfaj |
| GIVEN NAMES | Aisha Ahmed |
| FAMILY NAME | Alarfaj |
| SIGNATURE | ALARFAJ A A |
| AFFILIATIONS | Princess Nourah bint Abdulrahman University |
| ORCID | 0000-0002-5078-2579 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Cyberbullying Detection Using PCA Extracted GLOVE Features and RoBertaNet Transformer Learning Model
Online platforms are nurturing social interactions, yet regrettably, they have also led to the proliferation of antisocial behaviors such as cyberbullying, trolling, and hate speech on a global scale. The identification of hate speech and aggression has become indispensable in the fight against cyberbullying and online harassment. Cyberbullying encompasses the use of aggressive and offensive language, including rude, insulting, hateful, and teasi…
Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI
Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is crucial for identifying and addressing potential risks and complications that may arise. Early detection of abnormalities and deviations in fetal health can facilitate timely interventions to mitigate risks and improve outcomes for the mother and fetus. Monitoring fetal hea…
No prominent works on this page.
Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI
Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is crucial for identifying and addressing potential risks and complications that may arise. Early detection of abnormalities and deviations in fetal health can facilitate timely interventions to mitigate risks and improve outcomes for the mother and fetus. Monitoring fetal hea…
Cyberbullying Detection Using PCA Extracted GLOVE Features and RoBertaNet Transformer Learning Model
Online platforms are nurturing social interactions, yet regrettably, they have also led to the proliferation of antisocial behaviors such as cyberbullying, trolling, and hate speech on a global scale. The identification of hate speech and aggression has become indispensable in the fight against cyberbullying and online harassment. Cyberbullying encompasses the use of aggressive and offensive language, including rude, insulting, hateful, and teasi…
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Malware Detection Techniques (1 work) · Artificial Intelligence in Healthcare (1 work) · Computer vision (1 work) · Electrical engineering (1 work) · Engineering (1 work) · Feature extraction (1 work) · Gradient boosting (1 work) · Hate Speech and Cyberbullying Detection (1 work)