Personal profile
Professional Information
Researcher of Imam Abdulrahman Bin Faisal University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 1 No Poverty
-
SDG 3 Good Health and Well-being
-
SDG 8 Decent Work and Economic Growth
-
SDG 11 Sustainable Cities and Communities
-
SDG 15 Life on Land
-
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics where Dina Alabbad is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A Hybrid Machine Learning Model in Diagnosing Brain Strokes
Ahmed, M. I. B., Zaghdoud, R., Rahman, A., Ali, F., Alhashim, H., Almubarak, M. Y., Albasheer, M., Alaqel, A., Almaskeen, A., Alabbad, D. A., Aljaafari, D. & Albakr, A., 2025, In: Journal of Advances in Information Technology. 16, 11, p. 1664-1674 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An IoT-Enabled Hybrid Deep Q-Learning and Elman Neural Network Framework for Proactive Crop Healthcare in the Agriculture Sector
Alazmi, M., Alshammari, M., Alabbad, D. A., Abosaq, H. A., Hegazy, O., Alalayah, K. M., Mustafa, N. O. A., Zamani, A. S. & Hussain, S., Sep 2025, In: Internet of Things (The Netherlands). 33, 101700.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
EEG-Driven Machine Learning for Stroke Detection in High-Risk Patients
Alghamedy, F. H., Aldossary, M. I., Alabbad, D. A., Alshami, R. A., Altaweel, M. S., Alnuaim, R. A., Alzahim, H. A., Alotaibi, S. F., Aljameel, S. S., Olusanya Olatunji, S. & Alghamdi, A. H., 2025, In: IEEE Access. 13, p. 166593-166610 18 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
ML and DL Models for Stroke Prediction from Bio-Signals: A Systematic Review and Bibliometric Analysis
Aldossary, M. I., Alghamedy, F. H., Alabbad, D. A., Alnuaim, R. A., Altaweel, M. S., Alshami, R. A. H., Alzahim, H. A., Alotaibi, S. F., Aljameel, S. S., Almalki, A. & Olatunji, S. O., Sep 2025, In: HighTech and Innovation Journal. 6, 3, p. 1062-1078 17 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
Using Machine Learning Technique in Managing Emergency Triage Flow
Almulhim, M., Alfaraj, D., Alabbad, D., Alghamdi, F. A., AlKhudair, M. A., AlKatout, K. A., AlShehri, S. A. & Alsulaibaikh, A., 2025, In: Acta Informatica Medica. 33, 2, p. 152-157 6 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations
Press/Media
-
Researcher from Imam Abdulrahman Bin Faisal University Provides Details of New Studies and Findings in the Area of Sustainability Research (Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach)
Alabad, D., Felemban, N., Youldash, M. & Aziz Urrahman, A.
24/04/24
1 item of Media coverage
Press/Media