Publications

Journal Articles


Numerical simulation of discontinuously vegetated open channel flow to estimate effects of vegetation condition on flood mitigation

Published in Journal of Hydraulic Engineering, 2025

Published in Journal of Hydraulic Engineering, 151(5), 06025007 (2025).

Recommended citation: Ahmed, N., & Bangalee, Z. I. (2025). Numerical simulation of discontinuously vegetated open channel flow to estimate effects of vegetation condition on flood mitigation. Journal of Hydraulic Engineering, 151(5), 06025007.
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Under-Review Journal Articles


Hybrid Quintic Neural Trajectory Optimizer (HyQuNeT): A hybrid learning approach to smooth and safe motion of 7-DOF robotic arms in dynamic environments

Published in Engineering, 2025

Under review at Engineering.

Recommended citation: Ahmed, N., Babu, M. A., Ahmmed, M. M., Rahman, M. M., & Mahmud, M. (2025). Hybrid Quintic Neural Trajectory Optimizer (HyQuNeT): A hybrid learning approach to smooth and safe motion of 7-DOF robotic arms in dynamic environments. Engineering. [Under Review]
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JPNet: A multi-layered fusion deep learning architecture for the detection and classification of pests in jute crops

Published in Mathematical Modelling and Numerical Simulation with Applications, 2025

Under review at Mathematical Modelling and Numerical Simulation with Applications.

Recommended citation: Ahmed, N., M., Babu, M. A., Ahmmed, M. M., Rahman, M. M., & Mahmud, M. (2025). JPNet: A multi-layered fusion deep learning architecture for the detection and classification of pests in jute crops. Mathematical Modelling and Numerical Simulation with Applications. [Under Review]
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Conference Papers


AutoRL-FingerNet: A reinforcement-optimized CNN-autoencoder fusion for adaptive fingerprint recognition with retraining-free augmentation

Published in WINCOM 2025, Riyadh, Saudi Arabia, 2025

Submitted to WINCOM 2025, Riyadh, Saudi Arabia.

Recommended citation: Babu, M. A., Ahmed, N., Mollah, M.M.H., M. A., Ahmmed, M. M., Rahman, M. M., & Mahmud, M. (2025). AutoRL-FingerNet: A reinforcement-optimized CNN-autoencoder fusion for adaptive fingerprint recognition with retraining-free augmentation. In WINCOM 2025, Riyadh, Saudi Arabia. [Submitted]
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