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Dive into the research topics where Shayma Alkobaisi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model
Alkobaisi, S., Bae, W. D., Safdar, M. F., Ali, N. A. A., Kim, S., Park, C. S. & Nowak, R. M., Aug 2025, In: PLoS ONE. 20, 8 August, e0326036.Research output: Contribution to journal › Article › peer-review
Open Access -
A Retrieval-Augmented Framework For Meeting Insight Extraction
Bhuvaji, S., Chouhan, P., Irukulla, M., Singhvi, J., Bae, W. D. & Alkobaisi, S., May 14 2025, 40th Annual ACM Symposium on Applied Computing, SAC 2025. Association for Computing Machinery, p. 899-906 8 p. (Proceedings of the ACM Symposium on Applied Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Artificial Intelligence Algorithms in Asthma Management: A Review of Data Engineering, Predictive Models, and Future Implications
Alkobaisi, S., Safdar, M. F., Pałka, P. & Abu Ali, N. A., Apr 2025, In: Applied Sciences (Switzerland). 15, 7, 3609.Research output: Contribution to journal › Review article › peer-review
Open Access -
Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0
Mon, B. F., Hayajneh, M., Ali, N. A., Ullah, F., Ullah, H. & Alkobaisi, S., 2025, In: Computers, Materials and Continua. 83, 3, p. 3675-3712 38 p.Research output: Contribution to journal › Review article › peer-review
Open Access8 Link opens in a new tab Citations (Scopus) -
Hybrid Deep Learning–SDR Sensing Framework for Noninvasive Human Emotion Recognition in Harsh Outdoor Working Environment
Jadoon, I., Abuali, N., Ullah, F., Rehman, M., Hayajneh, M. & Alkobaisi, S., 2025, In: IEEE Access. 13, p. 199757-199771 15 p.Research output: Contribution to journal › Article › peer-review
Open Access