Mrinmoy Ray - RankMe

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integration of smartphone imagery with topographic parameters for soil organic carbon prediction in the Indo-Gangetic Plains: an interpretable machine learning approach. Comput. Electron. Agric. Abhradip Sarkar, Pragati Pramanik Maity, Fitsum T. Teshome, V. K. Sehgal, Alka Arora, Md. Ashraful Haque, Bappa Das, Mrinmoy Ray, Siddhartho Shekhar Paul
2026	J	`jnl`	PCCSegNet - An Attention-Based Encoder-Decoder Network for Determining Green Canopy Cover in Potato Crops Using Visual Imagery. IEEE Access 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
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`	Intelligent decision support for drought stress (IDSDS): An integrated remote sensing and artificial intelligence-based pipeline for quantifying drought stress in plants. Comput. Electron. Agric. Arpan Kumar Maji, Sumanta Das, Sudeep Marwaha, Sudhir Kumar, Suman Dutta, Malini Roy Choudhury, Alka Arora, Mrinmoy Ray, Anbukkani Perumal, Viswanathan Chinusamy
2025	J	`jnl`	Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting. J. Big Data G. H. Harish Nayak, Md Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh
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`	Improved Sieve Bootstrap based prediction intervals for time series. Commun. Stat. Simul. Comput. Samir Barman, V. Ramasubramanian, Mrinmoy Ray
2024	J	`jnl`	Transformer-based deep learning architecture for time series forecasting. Softw. Impacts 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
2023	J	`jnl`	Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil. Ecol. Informatics Abhradip Sarkar, Pragati Pramanik Maity, Mrinmoy Ray, Debashis Chakraborty, Bappa Das, Arti Bhatia
2022	J	`jnl`	Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images. Appl. Artif. Intell. Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy
2021	J	`jnl`	Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants. IEEE Access 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