TY  - JOUR
AU  - Ahmed, Li
AU  - Siddique, Anna
TI  - Convolutional Neural Networks Applied to Reservoir Sediment Transport
JO  - Open Access Journal of Engineering Applications
PY  - 2022
VL  - 46
IS  - 2
SP  - 735
EP  - 754
AB  - Bangladesh and neighbouring countries remain particularly exposed to failures in steel rolling mills, where measured data on reservoir sediment transport are scarce. Full-scale trials were conducted in steel rolling mills to assess the practicality of the approach. The proposed controller improved settling time by 9% compared with the baseline. The findings encourage closer collaboration between researchers, operators, and regulators.
KW  - reservoir sediment transport
KW  - convolutional neural networks
KW  - energy storage
KW  - digital twin
KW  - renewable integration
SN  - 3105-7004
DO  - 10.55555/oajea.2022.4602.036
UR  - https://journal.bsaps.com/article/9953
ER  -