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Naralasetti, Veeranjaneyulu
8
results:
Search for persons
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Online (8)
Mediatypes
Articles (Online) (7)
OpenAccess-fulltext (1)
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1
Enhancing Plant Leaf Disease Prediction Through Advanced De..:
Naralasetti, Veeranjaneyulu
;
Bodapati, Jyostna Devi
Journal of The Institution of Engineers (India): Series B. 105 (2024) 3 - p. 469-482 , 2024
Link:
https://doi.org/10.1007/..
?
2
An Efficient Approach for Semantic Segmentation of Salt Dom..:
Bodapati, Jyostna Devi
;
Sajja, RamaKrishna
;
Naralasetti, Veeranjaneyulu
Journal of The Institution of Engineers (India): Series B. 104 (2023) 3 - p. 569-578 , 2023
Link:
https://doi.org/10.1007/..
?
3
A Deep Learning Framework with Cross Pooled Soft Attention ..:
Bodapati, Jyostna Devi
;
Naik, D S Bhupal
;
Suvarna, B
.
Journal of The Institution of Engineers (India): Series B. 103 (2022) 5 - p. 1395-1405 , 2022
Link:
https://doi.org/10.1007/..
?
4
Composite deep neural network with gated-attention mechanis..:
Bodapati, Jyostna Devi
;
Shaik, Nagur Shareef
;
Naralasetti, Veeranjaneyulu
Journal of Ambient Intelligence and Humanized Computing. 12 (2021) 10 - p. 9825-9839 , 2021
Link:
https://doi.org/10.1007/..
?
5
Deep convolution feature aggregation: an application to dia..:
Bodapati, Jyostna Devi
;
Shaik, Nagur Shareef
;
Naralasetti, Veeranjaneyulu
Signal, Image and Video Processing. 15 (2021) 5 - p. 923-930 , 2021
Link:
https://doi.org/10.1007/..
?
6
Joint training of two-channel deep neural network for brain..:
Bodapati, Jyostna Devi
;
Shaik, Nagur Shareef
;
Naralasetti, Veeranjaneyulu
.
Signal, Image and Video Processing. 15 (2020) 4 - p. 753-760 , 2020
Link:
https://doi.org/10.1007/..
?
7
Blended Multi-Modal Deep ConvNet Features for Diabetic Reti..:
Bodapati, Jyostna Devi
;
Naralasetti, Veeranjaneyulu
;
Shareef, Shaik Nagur
...
Electronics. 9 (2020) 6 - p. 914 , 2020
Link:
https://doi.org/10.3390/..
?
8
Blended Multi-Modal Deep ConvNet Features for Diabetic Reti..:
Jyostna Devi Bodapati
;
Veeranjaneyulu Naralasetti
;
Shaik Nagur Shareef
...
Computer Science & Engineering. , 2020
Link:
https://doi.org/10.3390/..
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