Rashi Jaiswal, 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2024, 232
Canyang Guo, Genggeng Liu, Chi-Hua Chen, “Air Pollution Concentration Forecast Method Based on the Deep Ensemble Neural Network”, Wireless Communications and Mobile Computing, 2020, 2020, 1
Zohre Ebrahimi-Khusfi, Ruhollah Taghizadeh-Mehrjardi, Mohamad Kazemi, Ali Reza Nafarzadegan, “Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques”, Atmospheric Pollution Research, 12, no. 5, 2021, 101064
Kefei Zhang, Jesse Thé, Guangyuan Xie, Hesheng Yu, “Multi-step ahead forecasting of regional air quality using spatial-temporal deep neural networks: A case study of Huaihai Economic Zone”, Journal of Cleaner Production, 277, 2020, 123231
Hyemin Hwang, Sung Rak Choi, Jae Young Lee, “Evaluation of roadside air quality using deep learning models after the application of the diesel vehicle policy (Euro 6)”, Sci Rep, 12, no. 1, 2022, 20769
Zhenyu Song, Cheng Tang, Junkai Ji, Yuki Todo, Zheng Tang, “A Simple Dendritic Neural Network Model-Based Approach for Daily PM2.5 Concentration Prediction”, Electronics, 10, no. 4, 2021, 373
Konduri Sai Sadhana, Gurram Sravya, Tumma Girija Shankar, Shaik Rajak, Inbarasan Muniraj, Sunil Chinnadurai, 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022, 1
Xinwei Liu, Muchuan Qin, Yue He, Xiwei Mi, Chengqing Yu, “A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network”, Atmospheric Pollution Research, 12, no. 10, 2021, 101197
Teny Handhayani, “An integrated analysis of air pollution and meteorological conditions in Jakarta”, Sci Rep, 13, no. 1, 2023, 5798
P. Akilandeswari, T. Manoranjitham, J. Kalaivani, G. Nagarajan, “Air quality prediction for sustainable development using LSTM with weighted distance grey wolf optimizer”, Soft Comput, 2023