ArticleScientific reports2025
Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Enhanced deep learning networks integrated by fractals for air quality index analysis.Frontiers in artificial intelligence · 2026Article
- Environmental passion and AI literacy shape the impact of green rewards on pro-environmental behaviors.Frontiers in psychology · 2026Article
- Continuous-time air pollutant forecasting using multi-timescale attention neural ordinary differential equations (MA-NODE).Scientific reports · 2025Article
- Data driven multi-stage transformer based framework for intelligent water quality monitoring.Scientific reports · 2025Article
- Investigation of tuberculosis incidence and particulate matter concentration in the middle east.Scientific reports · 2025Article
- Accurate AQI forecasting in a high-altitude city using a simulated CVOCA-BiLSTM hybrid model: a case study of Lhasa, Tibet.Scientific reports · 2025Article
- Improved prediction model for daily PMScientific reports · 2025Article
- Deep transfer learning and attention based P2.5 forecasting in Delhi using a decade of winter season data.Scientific reports · 2025Article
- Prediction of influenza-like illness incidence using meteorological factors in Kunming : deep learning model study.BMC public health · 2025Article
- Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization.Scientific reports · 2025Article
- Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy.Scientific reports · 2025Article
- Evolution and driving mechanisms of eco-environmental quality across different urbanization stages.Scientific reports · 2025Article
- ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis.Journal of medical Internet research · 2025Article
- Article
- Prediction of Daily PMEnvironmental health insights · 2025Article
- Is air pollution negatively associated with physical fitness?-A cross-sectional study in 174,246 Chinese students.PloS one · 2025Article
- Regional PM2.5 pollution forecasting using a hybrid model based on multi-scales feature fusion and deep learning algorithms.PloS one · 2025Article
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3 authors.
Funding
Abstract
Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization and urbanization, Liaocheng has experienced increasing of ozone concentration over several years. Therefore, ozone has become a major environmental problem in Liaocheng City. Long short-term memory (LSTM) and artificial neural network (ANN) models are established to predict ozone concentrations in Liaocheng City from 2014 to 2023. The results show a general improvement in the accuracy of the LSTM model compared to the ANN model. Compared to the ANN, the LSTM has an increase in determination coefficient (R
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