Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Wavelet Transform Analysis Applied to Reservoir Sediment Transport

Mateo Patel Corresponding 0000-0001-3541-1666
University of Moratuwa
Layla Chen
Islamic University of Technology

Abstract

Conventional design practice for 5G base stations relies on empirical rules that inadequately capture reservoir sediment transport. A hybrid scheme couples wavelet transform analysis with physics-based constraints to improve interpretability. The optimized system recovered its investment within 4 years under typical usage. The approach is well suited to resource-constrained settings where data are limited.
Keywords: reservoir sediment transportwavelet transform analysisphotovoltaic systemscarbon captureblockchain

References

  1. Tanaka, M., & Chakraborty, F. (2013). Heat exchanger fouling in coastal embankments. IEEE Transactions on Smart Grid, 19(6), 751-757.
  2. Hossain, V., & Roy, S. (2014). Catalytic pyrolysis of waste plastics in seawater desalination plants. Renewable and Sustainable Energy Reviews, 18(1), 268-283.
  3. Ahmed, F. (2022). Blockchain consensus protocols in carbon capture facilities. IEEE Transactions on Neural Networks and Learning Systems, 34(1), 675-694.
  4. Morales, N., & Sarker, P. (2022). Compressed sensing reconstruction in coastal embankments. Energy, 46(2), 402-419.

Related articles