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Barman, Golap Gunjan
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1

Comparison of LR, SVR, and DNN for the Rainfall Forecast of..:

, In: Proceedings of the International Conference on Computing and Communication Systems; Lecture Notes in Networks and Systems,
Barman, Utpal ; Sahu, Diganto ; Barman, Golap Gunjan - p. 297-304 , 2021
Link: https://doi.org/10.1007/..
 
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2

Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and..:

, In: Proceedings of the International Conference on Computing and Communication Systems; Lecture Notes in Networks and Systems,
Barman, Utpal ; Sarmah, Animesh ; Sahu, Diganto. - p. 287-295 , 2021
Link: https://doi.org/10.1007/..
 
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3

Comparison of convolution neural networks for smartphone im..:

Barman, Utpal ; Choudhury, Ridip Dev ; Sahu, Diganto.
Computers and Electronics in Agriculture.  177 (2020)  - p. 105661 , 2020
Link: https://doi.org/10.1016/..
 
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4

A Deep Learning Based Android Application to Detect the Lea..:

, In: Advances in Intelligent Systems and Computing; Proceedings of the Sixth International Conference on Mathematics and Computing,
Barman, Utpal ; Sahu, Diganto ; Barman, Golap Gunjan - p. 275-286 , 2020
Link: https://doi.org/10.1007/..
 
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5

Comparative Assessment of Deep Learning to Detect the Leaf ..:

, In: 2020 International Conference on Computational Performance Evaluation (ComPE),
Barman, Utpal ; Sahu, Diganto ; Barman, Golap Gunjan. - p. 682-687 , 2020
Link: https://doi.org/10.1109/..
 
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6

Extracting of prospective groundwater potential zones using..:

Roy, Dipesh ; Barman, Sanjoy ; Mandal, Goutam...
Applied Water Science.  14 (2024)  4 - p. , 2024
Link: https://doi.org/10.1007/..
 
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