Jyostna Devi Bodapati

29 papers Misc 1Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging.
Mach. Vis. Appl.
Nagur Shareef Shaik, N. Veeranjaneulu, Jyostna Devi Bodapati
2025 J jnl
Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations.
IEEE Access
Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao
2025 Misc conf
GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning.
ICASSP
Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye
2024 J jnl
Adaptive ensembling of multi-modal deep spatial representations for diabetic retinopathy diagnosis.
Multim. Tools Appl.
Veeranjaneyulu Naralasetti, Jyostna Devi Bodapati
2024 J jnl
GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning.
CoRR
Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye
2024 J jnl
Medtransnet: advanced gating transformer network for medical image classification.
Mach. Vis. Appl.
Nagur Shareef Shaik, Teja Krishna Cherukuri, N. Veeranjaneulu, Jyostna Devi Bodapati
2024 J jnl
Multi-modal feature fusion and its application to brain tumour classification.
Int. J. Adv. Intell. Paradigms
Jyostna Devi Bodapati, N. Veeranjaneyulu, B. Naga Mounika, B. Suvarna
2024 J jnl
Self-adaptive stacking ensemble approach with attention based deep neural network models for diabetic retinopathy severity prediction.
Multim. Tools Appl.
Jyostna Devi Bodapati, Bharadwaj Bagepalli Balaji
2024 J jnl
Towards smart healthcare system in airlines with IoT and cloud computing.
Int. J. Adv. Intell. Paradigms
N. Veeranjaneyulu, Jyostna Devi Bodapati, Subbarao Peram
2024 J jnl
TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition.
Multim. Tools Appl.
Jyostna Devi Bodapati, Bharadwaj Bagepalli Balaji
2022 J jnl
Stacked convolutional auto-encoder representations with spatial attention for efficient diabetic retinopathy diagnosis.
Multim. Tools Appl.
Jyostna Devi Bodapati
2021 J jnl
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification.
J. Ambient Intell. Humaniz. Comput.
Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti
2021 J jnl
Deep Learning Models for Pneumonia Identification and Classification Based on X-Ray Images.
Traitement du Signal
Veeranjaneyulu Naralasetti, Reshmi Khadherbhi Shaik, Gayatri Katepalli, Jyostna Devi Bodapati
2021 J jnl
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction.
Signal Image Video Process.
Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti
2021 J jnl
Joint training of two-channel deep neural network for brain tumor classification.
Signal Image Video Process.
Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur
2021 J jnl
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction.
Int. J. Pattern Recognit. Artif. Intell.
Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur
2021 J jnl
Modified self-training based statistical models for image classification and speaker identification.
Int. J. Speech Technol.
Jyostna Devi Bodapati
2021 J jnl
SAE-PD-Seq: sequence autoencoder-based pre-training of decoder for sequence learning tasks.
Signal Image Video Process.
Jyostna Devi Bodapati
2020 J jnl
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction.
CoRR
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Nagur Shareef Shaik, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo
2020 J jnl
Brain Tumor Detection Using Deep Features in the Latent Space.
Ingénierie des Systèmes d Inf.
Jyostna Devi Bodapati, Annepu Vijay, Naralasetti Veeranjaneyulu
2020 J jnl
Classifying Limited Resource Data Using Semi-supervised SVM.
Ingénierie des Systèmes d Inf.
Naralasetti Veeranjaneyulu, Jyostna Devi Bodapati, Suvarna Buradagunta
2020 J jnl
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification.
Rev. d'Intelligence Artif.
Venkatesulu Dondeti, Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti
2020 J jnl
Performance Comparison of Sorting Algorithms with Random Numbers as Inputs.
Ingénierie des Systèmes d Inf.
Suvarna Buradagunta, Jyostna Devi Bodapati, Nirupama Bhat Mundukur, Shaik Salma
2019 J jnl
Feature Extraction and Classification UsingDeep Convolutional Neural Networks.
J. Cyber Secur. Mobil.
Jyostna Devi Bodapati, Veeranjaneyulu Naralasetti
2019 J jnl
Home Automation and Security System Using IOT.
Rev. d'Intelligence Artif.
Naralasetti Veeranjaneyulu, Gavini Srivalli, Jyostna Devi Bodapati
2019 J jnl
Modelling of Monthly Rainfall Patterns in the North-West India Using SVM.
Ingénierie des Systèmes d Inf.
Kalpana Polisetty, Kiran Kumar Paidipati, Jyostna Devi Bodapati
2019 J jnl
Robust Cluster-then-label (RCTL) Approach for Heart Disease Prediction.
Ingénierie des Systèmes d Inf.
Jyostna Devi Bodapati, Venkata Rama Krishna Sajja, Nirupama Bhat Mundukur, Naralasetti Veeranjaneyulu
2019 J jnl
Sentiment Analysis from Movie Reviews Using LSTMs.
Ingénierie des Systèmes d Inf.
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Nagur Shareef Shaik
2016 — conf
Abnormal Network Traffic Detection Using Support Vector Data Description.
FICTA (1)
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu