Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data. - Md Yeasin; Dipanwita Haldar; Suresh Kumar; Ranjit Kumar Paul; Sonaka Ghosh (Remote. Sens., 2022)

Dynamic ensemble-based machine learning models for predicting pest populations. - Ankit Kumar Singh; Md Yeasin; Ranjit Kumar Paul; A. K. Paul; Anita Sarkar (Frontiers Appl. Math. Stat., 2024)

OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index. - Md Yeasin; Ranjit Kumar Paul (J. Supercomput., 2024)

CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization. - Sandip Garai; Ranjit Kumar Paul; Md Yeasin; A. K. Paul (Neural Process. Lett., 2024)

Ensemble machine learning models for forecasting tropical cyclones in North Indian region. - Md Yeasin; Ranjit Kumar Paul; S. Vishnu Shankar (Earth Sci. Informatics, 2024)

Can Deep Learning Models Enhance the Accuracy of Agricultural Price Forecasting? Insights From India. - Ranjit Kumar Paul; Md Yeasin; C. Tamilselvi; A. K. Paul; Purushottam Sharma; Pratap S. Birthal (Intell. Syst. Account. Finance Manag., 2025)

WaveFLSTM: Wavelet-based fuzzy LSTM model for forecasting complex time series data. - Anita Sarkar; Md Yeasin; Ranjit Kumar Paul; A. K. Paul; Ankit Kumar Singh (Neural Comput. Appl., 2025)

Novel wavelet-LSTM approach for time series prediction. - C. Tamilselvi; Ranjit Kumar Paul; Md Yeasin; A. K. Paul (Neural Comput. Appl., 2025)