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Mrinmoy Ray
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2020 – today
- 2024
- [j4]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: 111557 (2024) - 2023
- [j3]Abhradip Sarkar, Pragati Pramanik Maity, Mrinmoy Ray, Debashis Chakraborty, Bappa Das, Arti Bhatia:
Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil. Ecol. Informatics 74: 101959 (2023) - 2022
- [j2]Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy:
Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images. Appl. Artif. Intell. 36(1) (2022) - 2021
- [j1]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:
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants. IEEE Access 9: 76235-76247 (2021)
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last updated on 2024-10-07 22:24 CEST by the dblp team
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