Smart Environment Monitoring Systems for PM2.5 Prediction Using Deep Learning Models in Smart City
Author:
Affiliation:
1. National Engineering School of Tunis, University of Tunis El Manar,Syscom Laboratory
2. University of Gabès,Faculty of sciences of Gabès, Syscom Laboratory
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323707.pdf?arnumber=10323707
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3. A Comparative Study of LSTM/GRU Models for Energy Long-Term Forecasting in IoT Networks;ghada;2023 IEEE/ACIS 23rd International Conference on Computer and Information Science (ICIS),2023
4. Air Pollution Modelling with Deep Learning: A Review;ayturan;Int J of Environmental Pollution & Environmental Modelling,2018
5. Web traffic anomaly detection using C-LSTM neural networks
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