Ranjit Kumar Paul

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 10

Top Topics

Learning Models

Imperialist Competitive Algorithm

Monte Carlo Simulation

Top Venues

Model. Assist. Stat. Appl.

Intell. Syst. Appl.

Publications

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
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices. Appl. Soft Comput. 158 (2024)
Md Yeasin, Ranjit Kumar Paul
OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index. J. Supercomput. 80 (2) (2024)
Sandip Garai, Ranjit Kumar Paul, Md Yeasin, A. K. Paul
CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization. Neural Process. Lett. 56 (2) (2024)
Sandip Garai, Ranjit Kumar Paul
Development of MCS based-ensemble models using CEEMDAN decomposition and machine intelligence. Intell. Syst. Appl. 18 (2023)
Md Yeasin, Dipanwita Haldar, Suresh Kumar, Ranjit Kumar Paul, Sonaka Ghosh
Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data. Remote. Sens. 14 (14) (2022)
Ranjit Kumar Paul, Sandip Garai
Performance comparison of wavelets-based machine learning technique for forecasting agricultural commodity prices. Soft Comput. 25 (20) (2021)
Priyanka Anjoy, Ranjit Kumar Paul
Comparative performance of wavelet-based neural network approaches. Neural Comput. Appl. 31 (8) (2019)
Bishal Gurung, K. N. Singh, Ranjit Kumar Paul, Sanjeev Panwar, Biwash Gurung, Lawrence Lepcha
An alternative method for forecasting price volatility by combining models. Commun. Stat. Simul. Comput. 46 (6) (2017)
Dipankar Mitra, Ranjit Kumar Paul
Hybrid time-series models for forecasting agricultural commodity prices. Model. Assist. Stat. Appl. 12 (3) (2017)
Bishal Gurung, Ranjit Kumar Paul, K. N. Singh, Sanjeev Panwar, Achal Lama, Lawrence Lepcha
An alternative approach to capture cyclical and volatile phenomena in time-series data. Model. Assist. Stat. Appl. 11 (3) (2016)
Ranjit Kumar Paul
ARIMAX-GARCH-WAVELET model for forecasting volatile data. Model. Assist. Stat. Appl. 10 (3) (2015)
Surendra Singh, A. K. Paul, Ranjit Kumar Paul, L. M. Bhar, Ashok Kumar, Wasi Alam
Study of growth pattern of cattle under different error structures. Model. Assist. Stat. Appl. 10 (2) (2015)
Ranjit Kumar Paul, Sandipan Samanta, Bishal Gurung
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. 10 (2) (2015)
Himadri Ghosh, Ranjit Kumar Paul, Prajneshu
Functional coefficient autoregressive nonlinear time-series model for forecasting Indian lac export data. Model. Assist. Stat. Appl. 5 (2) (2010)