Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms-Reference-Cited by-同舟云学术

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

Published:2021-07-06 Issue: Volume: Page:
ISSN:
Container-title:IEEE EUROCON 2021 - 19th International Conference on Smart Technologies
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Author:

Daoud Nour,Eltahan Mohamed,Elhennawi Ahmed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9535532/9535533/09535571.pdf?arnumber=9535571

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula;Earth Systems and Environment;2024-04-29

3. Intelligent air conditioning control system based on human infrared thermal imaging;Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023);2024-04-01

4. Geospatial-temporal Heterogeneity Embedded Graph Neural Network for AERONET AOD Forecasting;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

5. Comparative Study between Various Algorithms of Image Compression Techniques using MODIS Image;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

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