Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms

Nour Daoud, Mohamed Eltahan, Ahmed Elhennawi. Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms. In 19th IEEE International Conference on Smart Technologies, EUROCON 2021, Lviv, Ukraine, July 6 - 8, 2021. pages 186-191, IEEE, 2021. [doi]

@inproceedings{DaoudEE21,
  title = {Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms},
  author = {Nour Daoud and Mohamed Eltahan and Ahmed Elhennawi},
  year = {2021},
  doi = {10.1109/EUROCON52738.2021.9535571},
  url = {https://doi.org/10.1109/EUROCON52738.2021.9535571},
  researchr = {https://researchr.org/publication/DaoudEE21},
  cites = {0},
  citedby = {0},
  pages = {186-191},
  booktitle = {19th IEEE International Conference on Smart Technologies, EUROCON 2021, Lviv, Ukraine, July 6 - 8, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3299-3},
}