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Dr Jyostna Devi Bodapati
Dr Jyostna Devi Bodapati
VFSTR Deemed to be University
Verified email at vignan.ac.in - Homepage
Title
Cited by
Cited by
Year
Blended multi-modal deep convnet features for diabetic retinopathy severity prediction
JD Bodapati, V Naralasetti, SN Shareef, S Hakak, M Bilal, ...
Electronics 9 (6), 914, 2020
1272020
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification
JD Bodapati, NS Shaik, V Naralasetti
Journal of Ambient Intelligence and Humanized Computing 12, 9825–9839, 2021
1122021
Joint training of two-channel deep neural network for brain tumor classification
JD Bodapati, NS Shaik, V Naralasetti, NB Mundukur
Signal, Image and Video Processing 15 (4), 753-760, 2021
762021
Feature Extraction and Classification using Deep Convolutional Neural Networks
JD Bodapati, N Veeranjaneyulu
Journal of Cyber Security and Mobility 8 (2), 261-276, 2019
612019
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction
JD Bodapati, NS Shaik, V Naralasetti
Signal, Image and Video Processing 15, pages923–930, 2021
512021
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification
V Dondeti, JD Bodapati, SN Shareef, V Naralasetti
Revue d'Intelligence Artificielle 34 (3), 307-313, 2020
492020
Sentiment analysis from movie reviews using LSTMs.
JD Bodapati, N Veeranjaneyulu, S Shaik
Ingenierie des Systemes d'Information, 24 ((1)), 125-129, 2019
48*2019
FERNet: A Deep CNN Architecture for Facial Expression Recognition in the Wild
JD Bodapati, U Srilakshmi, N Veeranjaneyulu
Journal of The Institution of Engineers (India): Series B 8, 1-10, 2022
342022
Facial Emotion Recognition Using Deep Cnn Based Features
JD Bodapati, N Veeranjaneyulu
International Journal of Innovative Technology and Exploring Engineering …, 2019
272019
Effect of Different Kernels on the Performance of an SVM Based Classification
VN Deepika Kancherla, Jyostna Devi Bodapati
International Journal of Recent Technology and Engineering (IJRTE) 7 (5), 1-6, 2019
25*2019
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction
JD Bodapati, SN Shareef, V Naralasetti, NB Mundukur
International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021
232021
A Novel Face Recognition System Based on Combining Eigenfaces with Fisher Faces using Wavelets
BJ Devi, N Veeranjaneyulu, KVK Kishore
Procedia Computer Science 2, 44-51, 2010
212010
An efficient automatic brain tumor classification using LBP features and SVM-based classifier
K Deepika, JD Bodapati, RK Srihitha
Proceedings of International Conference on Computational Intelligence and …, 2019
202019
Abnormal network traffic detection using support vector data description
JD Bodapati, N Veeranjaneyulu
Proceedings of the 5th International Conference on Frontiers in Intelligent …, 2017
172017
Stacked convolutional auto-encoder representations with spatial attention for efficient diabetic retinopathy diagnosis
JD Bodapati
Multimedia Tools and Applications 81 (22), 32033-32056, 2022
162022
ChxCapsNet: Deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs
JD Bodapati, VN Rohith
Measurement 188, 110491, 2022
162022
SCENE CLASSIFICATION USING SUPPORT VECTOR MACHINES WITH LDA.
VN Veeranjaneyulu, N, Raghunath, A, Jyostna Devi, B. Mandhala
Journal of Theoretical & Applied Information Technology 63 (3), 741-747, 2014
162014
A deep learning framework with cross pooled soft attention for facial expression recognition
JD Bodapati, DSB Naik, B Suvarna, V Naralasetti
Journal of The Institution of Engineers (India): Series B 103 (5), 1395-1405, 2022
112022
Deep Learning Models for Pneumonia Identification and Classification Based on X-Ray Images.
V Naralasetti, RK Shaik, G Katepalli, JD Bodapati
Traitement du Signal 38 (3), 903-909, 2021
112021
An intelligent authentication system using wavelet fusion of K-PCA, R-LDA
JD Bodapati, KVK Kishore, N Veeranjaneyulu
2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING …, 2010
92010
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