Zohora MF, Farhin F, Kaiser MS (2025)
Title: Polycystic Ovary Syndrome (PCOS) Detection using Reinforcement Learning Model Based on Optimized Feature Selection
Journal: Submitted to Journal of Progress in AI, May 2025
Status: Under Review

1. Zohora MF, Farhin F, Kaiser MS (2024)
Title: An enhanced round robin using dynamic time quantum for real-time asymmetric burst length processes in cloud computing environment
Journal: PLOS ONE, Vol. 19, Issue 8, Article e0304517
DOI: https://doi.org/10.1371/journal.pone.0304517

2. Zohora MF, Farhin F, Kaiser MS (2024)
Title: DBDAA: A real-time approach to Dynamic Banker’s Deadlock Avoidance Algorithm with optimized time complexity
Journal: PLOS ONE, Vol. 19, Issue 9, Article e0310807
DOI: https://doi.org/10.1371/journal.pone.0310807

Sultana, I., Farhin, F., Zohora, F. (2022). Wearable Devices for Monitoring Vital Rhythm and Earlier Disease Diagnosis of Treatment. In: Kaiser, M.S., Mahmud, M., Al Mamun, S. (eds) Rhythms in Healthcare. Studies in Rhythm Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4189-4_8

M. F. Zohora, M. H. Tania, M. S. Kaiser and M. Mahmud, “Forecasting the Risk of Type II Diabetes using Reinforcement Learning,” 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2020, pp. 1-6, doi: 10.1109/ICIEVicIVPR48672.2020.9306653

Sumi, A.I., Zohora, M.F., Mahjabeen, M., Faria, T.J., Mahmud, M., Kaiser, M.S.
(2018). fASSERT: A Fuzzy Assistive System for Children with Autism Using
Internet of Things. In: , et al. Brain Informatics. BI 2018. Lecture Notes in Computer Science(), vol 11309. Springer, Cham. https://doi.org/10.1007/978-3-030-05587-5_38