ArticleScientific reports2023
Air-quality prediction based on the ARIMA-CNN-LSTM combination model optimized by dung beetle optimizer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Air quality prediction via hybrid BiGRU-MLP using binary ant colony optimization and firefly algorithm for hyperparameter tuning.Scientific reports · 2026Article
- Mixed Forecast of Air Quality Index with a Bibranch Parallel Architecture Considering Seasonal Heterogeneity.Entropy (Basel, Switzerland) · 2026Article
- Real-time dynamic prediction of HFMD transmission using SEIRQ-ARIMA hybrid model optimized by multi-stage ABC-GWO algorithm.Scientific reports · 2026Article
- Air quality prediction using multi-source remote sensing data integration with hybrid deep learning framework.Scientific reports · 2025Article
- Intelligent prediction of air quality index based on the transformer-BiLSTM model.Scientific reports · 2025Article
- A Machine Learning Framework for Cancer Prognostics: Integrating Temporal and Immune Gene Dynamics via ARIMA-CNN.Biomedicines · 2025Article
- Advanced air quality prediction using multimodal data and dynamic modeling techniques.Scientific reports · 2025Article
- Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.Scientific reports · 2025Article
- Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model.Scientific reports · 2025Article
- A dance movement quality evaluation model using transformer encoder and convolutional neural network.Scientific reports · 2024Article
- Multi-strategy cooperative enhancement dung beetle optimizer and its application in obstacle avoidance navigation.Scientific reports · 2024Article
- Optimized air quality management based on air quality index prediction and air pollutants identification in representative cities in China.Scientific reports · 2024Article
- Fault Diagnosis of PMSMs Based on Image Features of Multi-Sensor Fusion.Sensors (Basel, Switzerland) · 2023Article
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4 authors.
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Abstract
Air pollution is a serious problem that affects economic development and people's health, so an efficient and accurate air quality prediction model would help to manage the air pollution problem. In this paper, we build a combined model to accurately predict the AQI based on real AQI data from four cities. First, we use an ARIMA model to fit the linear part of the data and a CNN-LSTM model to fit the non-linear part of the data to avoid the problem of blinding in the CNN-LSTM hyperparameter setting. Then, to avoid the blinding dilemma in the CNN-LSTM hyperparameter setting, we use the Dung Beetle Optimizer algorithm to find the hyperparameters of the CNN-LSTM model, determine the optimal hyperparameters, and check the accuracy of the model. Finally, we compare the proposed model with nine other widely used models. The experimental results show that the model proposed in this paper outperforms the comparison models in terms of root mean square error (RMSE), mean absolute error (MAE) and coefficient of determination (R
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