- S. Gunasekar, G. Pius Agbulu, G. Joselin Retna Kumar, Raghavendra Reddy N V, Y Dileep Kumar, R. Ramesh Prasad, 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 2024, 1
- Mirna Elbestar, Sherif G. Aly, Rami Ghannam, “Advances in Air Quality Monitoring: A Comprehensive Review of Algorithms for Imaging and Sensing Technologies”, Advanced Sensor Research, 2024, 2300207
- Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong, “Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas”, IEEE Access, 12, 2024, 114073
- Sooin Kim, Atefe Makhmalbaf, Mohsen Shahandashti, “Forecasting the architecture billings index (ABI) using machine learning predictive models”, ECAM, 2024
- Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024, 1
- Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan-Vu Cao, Trung Q. Duong, 595, Industrial Networks and Intelligent Systems, 2024, 204
- Chao Chen, Hui Liu, Chengming Yu, “Predicting long-term air pollutant concentrations through deep learning-based integration of heterogeneous urban data”, Atmospheric Pollution Research, 15, no. 11, 2024, 102282
- Chang-Jiang Zhang, Liu Zhang, Chen-Miao Rui, Lei-Ming Ma, Xiao-Qin Lu, “Tropical cyclone tracking from geostationary infrared satellite images using deep learning techniques”, International Journal of Remote Sensing, 45, no. 18, 2024, 6324
- Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, M. Raviraja Holla, Aditya Kumar Sahu, “Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities”, IEEE Access, 12, 2024, 108350
- Sara Haghbayan, Mehdi Momeni, Behnam Tashayo, “A new attention-based CNN_GRU model for spatial–temporal PM2.5 prediction”, Environ Sci Pollut Res, 31, no. 40, 2024, 53140