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ORCIDDina A. Alabbad
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2020 – today
- 2024
[j5]Dina A. Alabbad, Shahad Y. Ajibi, Raghad B. Alotaibi, Noura K. Alsqer, Rahaf A. Alqahtani, Noor M. Felemban, Atta Rahman
, Sumayh S. Aljameel, Mohammed Imran Basheer Ahmed, Mustafa M. Youldash:
Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach. Mach. Learn. Knowl. Extr. 6(2): 770-788 (2024)- 2023
- [j4]Sumayh S. Aljameel, Manar Alzahrani, Reem Almusharraf, Majd Altukhais, Sadeem Alshaia, Hanan S. Altamimi, Nida Aslam, Irfan Ullah Khan, Dina A. Alabbad, Albandari Alsumayt:
Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review. Big Data Cogn. Comput. 7(1): 32 (2023) - [j3]Osama Khalid, Subhan Ullah, Tahir Ahmad, Saqib Saeed, Dina A. Alabbad, Mudassar Aslam, Attaullah Buriro, Rizwan Ahmad:
An Insight into the Machine-Learning-Based Fileless Malware Detection. Sensors 23(2): 612 (2023) - [j2]Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri, Dina A. Alabbad:
Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations. Sensors 23(15): 6666 (2023) - 2022
- [j1]Mudassar Aslam, Muhammad Abbas Khan Abbasi, Tauqeer Khalid, Rafi us Shan, Subhan Ullah, Tahir Ahmad, Saqib Saeed, Dina A. Alabbad, Rizwan Ahmad:
Getting Smarter about Smart Cities: Improving Data Security and Privacy through Compliance. Sensors 22(23): 9338 (2022) - [c1]Dina Hamed Alhamed, Aljawharah Mohammad Alajmi, Yasminah Hani Alali, Tayma Abdulrahman Alqahtani, Maryam Riyadh Alnassar, Dina Abdullah Alabbad:
iGrade: an automated short answer grading system. NLPIR 2022: 110-116
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