- Biswajit Maity, Maddu Amar Sri Lakshmi Prasanna Trinath, Sanghita Bhattacharjee, Subrata Nandi, TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), 2022, 1

- K. Krishna Rani Samal, Ankit Kumar Panda, Korra Sathya Babu, Santos Kumar Das, “An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach”, Sustainable Cities and Society, 70, 2021, 102923

- A. Usha Ruby, J. George Chellin Chandran, Prasannavenkatesan Theerthagiri, Renuka Patil, B. N. Chaithanya, T. J. Swasthika Jain, “Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model”, Opt. Mem. Neural Networks, 33, no. 1, 2024, 86

- B. R. Varshitha Chandra, Pooja G. Nair, Risha Irshad Khan, B. S. Mahalakshmi, 1334, Congress on Intelligent Systems, 2021, 685

- Jianzhuo Yan, Jiaxue Liu, Yongchuan Yu, Hongxia Xu, “Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model”, Water, 13, no. 9, 2021, 1273

- Wei Jiang, Songyan Li, Zefeng Xie, Wanling Chen, Choujun Zhan, 2020 IEEE 18th International Conference on Industrial Informatics (INDIN), 2020, 729

- Lin Huang, Song Liu, Zeyuan Yang, Jia Xing, Jia Zhang, Jiang Bian, Siwei Li, Shovan Kumar Sahu, Shuxiao Wang, Tie-Yan Liu, “Exploring deep learning for air pollutant emission estimation”, Geosci. Model Dev., 14, no. 7, 2021, 4641

- Sheen Mclean Cabaneros, Ben Hughes, “Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting”, Environmental Modelling & Software, 158, 2022, 105529

- Simin Wang, Chunmiao Ma, Yixuan Xu, Jinyu Wang, Weiguo Wu, Jianping Gou, “A Hyperparameter Optimization Algorithm for the LSTM Temperature Prediction Model in Data Center”, Scientific Programming, 2022, 2022, 1

- Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, Bhavya Alankar, Aditya Kumar Sahu, “Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities”, Computers and Electrical Engineering, 114, 2024, 109098
