AIR POLLUTION PREDICTION SYSTEM USING DEEP LEARNING
Author:
Affiliation:
1. Department Computer Software Engineering, Soonchunhyang University, South Korea
Publisher
WIT Press
Link
http://www.witpress.com/Secure/elibrary/papers/AIR18/AIR18007FU1.pdf
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1. Air Predictive Modeling for Air Quality: A Comparative Study of Machine Learning and Deep Learning Techniques;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
2. Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM2.5 Level;IEEE Access;2024
3. Air Quality Index Prediction Using Support Vector Regression Based on African Buffalo Optimization;Communications in Computer and Information Science;2024
4. Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques;Frontiers in Artificial Intelligence;2023-10-10
5. The State-of-the-Art in Air Pollution Monitoring and Forecasting Systems Using IoT, Big Data, and Machine Learning;Wireless Personal Communications;2023-03-16
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