School of Science

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Mr Seyed Mohammad Jafar Jalali

Staff Member Details
Email:	s.jalali@ecu.edu.au

Saeedizadeh, N., Jalali, SM., Khan, B., Mohamed, S. (2025). Cutting-Edge Deep Learning Methods for Image-Based Object Detection in Autonomous Driving: In-Depth Survey. Expert Systems: The Journal of Knowledge Engineering, 42(4), article number e70020. https://doi.org/10.1111/exsy.70020.

Noman, M., Islam, S., Jalali, SM., Abu-Khalaf, J., Lavery, P. (2024). BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection. PLoS One, 19(6), article number e0281568. https://doi.org/10.1371/journal.pone.0281568.
Al Bataineh, A., Jalali, SM., Mousavirad, SJ., Yazdani, A., Islam, S., Khosravi, A. (2024). An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. Expert Systems: The Journal of Knowledge Engineering, 41(4), article number e13532. https://doi.org/10.1111/exsy.13532.
Saeedizadeh, N., Jalali, SM., Khan, B., Kebria, PM., Mohamed, S. (2024). A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation. Knowledge-Based Systems, 296(2024), article number 111966. https://doi.org/10.1016/j.knosys.2024.111966.

Jalali, SM., Fahiman, F., Khodayar, M. (2024). RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting. Proceedings of the 16th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2024 (5 pages). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECAI61503.2024.10607469.

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