Mrinmoy Ray

According to our database, Mrinmoy Ray authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Trivariate-ARMA-GARCH type-Vine Copula model for time series forecasting.

B. Manjunatha, Ranjit Kumar Paul, V. Ramasubramanian, G. Avinash, A. K. Paul, Md Yeasin, Mrinmoy Ray

Commun. Stat. Simul. Comput., April, 2026

Integration of smartphone imagery with topographic parameters for soil organic carbon prediction in the Indo-Gangetic Plains: an interpretable machine learning approach.

Abhradip Sarkar, Pragati Pramanik Maity, Fitsum T. Teshome, V. K. Sehgal, Alka Arora, Md. Ashraful Haque, Bappa Das, Mrinmoy Ray, Siddhartho Shekhar Paul

Comput. Electron. Agric., 2026

PCCSegNet - An Attention-Based Encoder-Decoder Network for Determining Green Canopy Cover in Potato Crops Using Visual Imagery.

Sunayan Saha, Tanuj Misra, Ranjeet Ranjan Jha, Debasish Chakraborty, Dibyendu Deb, Jagdev Sharma, Anil Sharma, Brajesh Singh, Nilimesh Mridha, Mrinmoy Ray, Shailendra Kumar, M. S. Dhanya

IEEE Access, 2026

2025

Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting.

G. H. Harish Nayak, Md Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

J. Big Data, December, 2025

Intelligent decision support for drought stress (IDSDS): An integrated remote sensing and artificial intelligence-based pipeline for quantifying drought stress in plants.

Arpan Kumar Maji, Sumanta Das, Sudeep Marwaha, Sudhir Kumar, Suman Dutta, Malini Roy Choudhury, Alka Arora, Mrinmoy Ray, Anbukkani Perumal, Viswanathan Chinusamy

Comput. Electron. Agric., 2025

2024

Improved Sieve Bootstrap based prediction intervals for time series.

Samir Barman, V. Ramasubramanian, Mrinmoy Ray

Commun. Stat. Simul. Comput., December, 2024

Transformer-based deep learning architecture for time series forecasting.

G. H. Harish Nayak, Md Wasi Alam, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, Samir Barman, K. N. Singh, B. Samuel Naik, Nurnabi Meherul Alam, Prasenjit Pal, Santosha Rathod, Jaiprakash Bisen

Softw. Impacts, 2024

Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices.

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

Appl. Soft Comput., 2024

2023

Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil.

Abhradip Sarkar, Pragati Pramanik Maity, Mrinmoy Ray, Debashis Chakraborty, Bappa Das, Arti Bhatia

Ecol. Informatics, May, 2023

2022

Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images.

Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy

Appl. Artif. Intell., December, 2022

2021

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants.

Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, Atmakuri Ramakrishna Rao, Eldho Varghese, Shailendra Kumar, Sudhir Kumar, Aditya Nigam, Rabi Narayan Sahoo, Viswanathan Chinnusamy

IEEE Access, 2021