Ranjit Kumar Paul

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ensemble of stochastic models, machine learning, deep learning and wavelet based techniques: A Whale optimization approach.
Intell. Syst. Appl.
Ranjit Kumar Paul, Sandipan Samanta, Md Yeasin, Sandip Garai, Christophe Chesneau
2026 J jnl
Trivariate-ARMA-GARCH type-Vine Copula model for time series forecasting.
Commun. Stat. Simul. Comput.
B. Manjunatha, Ranjit Kumar Paul, V. Ramasubramanian, G. Avinash, A. K. Paul, Md Yeasin, Mrinmoy Ray
2025 J jnl
Can Deep Learning Models Enhance the Accuracy of Agricultural Price Forecasting? Insights From India.
Intell. Syst. Account. Finance Manag.
Ranjit Kumar Paul, Md Yeasin, C. Tamilselvi, A. K. Paul, Purushottam Sharma, Pratap S. Birthal
2025 J jnl
Novel wavelet-LSTM approach for time series prediction.
Neural Comput. Appl.
C. Tamilselvi, Ranjit Kumar Paul, Md Yeasin, A. K. Paul
2025 J jnl
WaveFLSTM: Wavelet-based fuzzy LSTM model for forecasting complex time series data.
Neural Comput. Appl.
Anita Sarkar, Md Yeasin, Ranjit Kumar Paul, A. K. Paul, Ankit Kumar Singh
2024 J jnl
CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization.
Neural Process. Lett.
Sandip Garai, Ranjit Kumar Paul, Md Yeasin, A. K. Paul
2024 J jnl
Dynamic ensemble-based machine learning models for predicting pest populations.
Frontiers Appl. Math. Stat.
Ankit Kumar Singh, Md Yeasin, Ranjit Kumar Paul, A. K. Paul, Anita Sarkar
2024 J jnl
Ensemble machine learning models for forecasting tropical cyclones in North Indian region.
Earth Sci. Informatics
Md Yeasin, Ranjit Kumar Paul, S. Vishnu Shankar
2024 J jnl
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices.
Appl. Soft Comput.
G. Avinash, V. Ramasubramanian, Mrinmoy Ray, Ranjit Kumar Paul, Samarth Godara, G. H. Harish Nayak, Rajeev Ranjan Kumar, B. Manjunatha, Shashi Dahiya, Mir Asif Iquebal
2024 J jnl
OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index.
J. Supercomput.
Md Yeasin, Ranjit Kumar Paul
2023 J jnl
Development of MCS based-ensemble models using CEEMDAN decomposition and machine intelligence.
Intell. Syst. Appl.
Sandip Garai, Ranjit Kumar Paul
2022 J jnl
Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data.
Remote. Sens.
Md Yeasin, Dipanwita Haldar, Suresh Kumar, Ranjit Kumar Paul, Sonaka Ghosh
2021 J jnl
Performance comparison of wavelets-based machine learning technique for forecasting agricultural commodity prices.
Soft Comput.
Ranjit Kumar Paul, Sandip Garai
2019 J jnl
Comparative performance of wavelet-based neural network approaches.
Neural Comput. Appl.
Priyanka Anjoy, Ranjit Kumar Paul
2017 J jnl
An alternative method for forecasting price volatility by combining models.
Commun. Stat. Simul. Comput.
Bishal Gurung, K. N. Singh, Ranjit Kumar Paul, Sanjeev Panwar, Biwash Gurung, Lawrence Lepcha
2017 J jnl
Hybrid time-series models for forecasting agricultural commodity prices.
Model. Assist. Stat. Appl.
Dipankar Mitra, Ranjit Kumar Paul
2016 J jnl
An alternative approach to capture cyclical and volatile phenomena in time-series data.
Model. Assist. Stat. Appl.
Bishal Gurung, Ranjit Kumar Paul, K. N. Singh, Sanjeev Panwar, Achal Lama, Lawrence Lepcha
2015 J jnl
ARIMAX-GARCH-WAVELET model for forecasting volatile data.
Model. Assist. Stat. Appl.
Ranjit Kumar Paul
2015 J jnl
Monte Carlo simulation for comparison of different estimators of long memory parameter: An application of ARFIMA model for forecasting commodity price.
Model. Assist. Stat. Appl.
Ranjit Kumar Paul, Sandipan Samanta, Bishal Gurung
2015 J jnl
Study of growth pattern of cattle under different error structures.
Model. Assist. Stat. Appl.
Surendra Singh, A. K. Paul, Ranjit Kumar Paul, L. M. Bhar, Ashok Kumar, Md Wasi Alam
2010 J jnl
Functional coefficient autoregressive nonlinear time-series model for forecasting Indian lac export data.
Model. Assist. Stat. Appl.
Himadri Ghosh, Ranjit Kumar Paul, Prajneshu