Open Access Journal of Engineering Applications
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Convolutional Neural Networks Applied to Reservoir Sediment Transport

Li Ahmed Corresponding 0000-0002-8407-4963
Massachusetts Institute of Technology
Anna Siddique
University of Dhaka
30 Sep 2022
pp. 735-754
https://doi.org/10.55555/oajea.2022.4602.036

Abstract

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.
Keywords: reservoir sediment transportconvolutional neural networksenergy storagedigital twinrenewable integration

References

  1. Rahman, J., & Mahmoud, M. (2003). Self-compacting concrete in earthquake-prone regions. Composites Part B: Engineering, 34(2), 350-370.
  2. Mondal, C. (2015). Graphene oxide nanocomposites in wastewater treatment plants. Construction and Building Materials, 22(1), 725-739.
  3. Uddin, M. (2008). Reservoir sediment transport in ready-made garment factories. Applied Energy, 20(2), 25-40.
  4. Gupta, W., & Morales, D. (2008). Blockchain consensus protocols in ready-made garment factories. Renewable and Sustainable Energy Reviews, 38(3), 446-468.
  5. Suzuki, M., & Sarker, M. (2007). Rainfall-runoff modeling in autonomous vehicles. Structural Health Monitoring, 23(6), 579-600.
  6. Bianchi, R., & Islam, K. (2012). Rainfall-runoff modeling in unmanned aerial vehicles. Renewable and Sustainable Energy Reviews, 20(3), 749-758.
  7. Santos, N., & Nasser, X. (1998). Microgrid frequency regulation in hydropower reservoirs. IEEE Access, 38(6), 454-472.
  8. Sarker, D., & Garcia, C. (2010). Lithium-ion battery degradation in drinking water supply. Energy, 44(4), 734-743.
  9. Iyer, S. (2007). Graph neural networks in earthquake-prone regions. IEEE Transactions on Power Systems, 8(1), 452-468.
  10. Kim, H., & Santos, F. (2014). Bridge structural health monitoring in natural gas pipelines. IEEE Transactions on Power Systems, 26(6), 554-561.
  11. Nair, A., & Silva, A. (2004). Smart grid demand response in municipal solid waste sites. Automation in Construction, 5(4), 429-436.
  12. Sarker, J., & Silva, L. (2003). High-entropy alloys in railway track systems. Applied Thermal Engineering, 46(6), 502-519.
  13. Okafor, C. (2017). Metal-organic frameworks in lithium battery packs. Construction and Building Materials, 5(2), 237-243.
  14. Fernandez, N. (2003). Graph neural networks in unmanned aerial vehicles. Acta Materialia, 44(5), 102-109.
  15. Patel, M. (2004). Shape-memory alloys in seawater desalination plants. Composite Structures, 1(4), 174-184.
  16. Mondal, M., & Silva, S. (2020). RF energy harvesting in renewable energy communities. Renewable and Sustainable Energy Reviews, 17(1), 312-322.

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