Jyostna Devi Bodapati

According to our database, Jyostna Devi Bodapati authored at least 28 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations.

Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao

IEEE Access, 2025

2024

Adaptive ensembling of multi-modal deep spatial representations for diabetic retinopathy diagnosis.

Veeranjaneyulu Naralasetti, Jyostna Devi Bodapati

Multim. Tools Appl., August, 2024

Medtransnet: advanced gating transformer network for medical image classification.

Shaik Nagur Shareef, Teja Krishna Cherukuri, N. Veeranjaneulu, Jyostna Devi Bodapati

Mach. Vis. Appl., July, 2024

Self-adaptive stacking ensemble approach with attention based deep neural network models for diabetic retinopathy severity prediction.

Jyostna Devi Bodapati, Bharadwaj Bagepalli Balaji

Multim. Tools Appl., January, 2024

TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition.

Jyostna Devi Bodapati, Bharadwaj Bagepalli Balaji

Multim. Tools Appl., 2024

Towards smart healthcare system in airlines with IoT and cloud computing.

N. Veeranjaneyulu, Jyostna Devi Bodapati, Subbarao Peram

Int. J. Adv. Intell. Paradigms, 2024

Multi-modal feature fusion and its application to brain tumour classification.

Jyostna Devi Bodapati, N. Veeranjaneyulu, B. Naga Mounika, B. Suvarna

Int. J. Adv. Intell. Paradigms, 2024

GCS-M3VLT: Guided Context Self-Attention based Multi-modal Medical Vision Language Transformer for Retinal Image Captioning.

Teja Krishna Cherukuri, Nagur Shareef Shaik, Jyostna Devi Bodapati, Dong Hye Ye

CoRR, 2024

2022

Stacked convolutional auto-encoder representations with spatial attention for efficient diabetic retinopathy diagnosis.

Jyostna Devi Bodapati

Multim. Tools Appl., 2022

2021

Deep Learning Models for Pneumonia Identification and Classification Based on X-Ray Images.

Veeranjaneyulu Naralasetti, Reshmi Khadherbhi Shaik, Gayatri Katepalli, Jyostna Devi Bodapati

Traitement du Signal, 2021

Joint training of two-channel deep neural network for brain tumor classification.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur

Signal Image Video Process., 2021

Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti

Signal Image Video Process., 2021

SAE-PD-Seq: sequence autoencoder-based pre-training of decoder for sequence learning tasks.

Jyostna Devi Bodapati

Signal Image Video Process., 2021

Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti

J. Ambient Intell. Humaniz. Comput., 2021

Modified self-training based statistical models for image classification and speaker identification.

Jyostna Devi Bodapati

Int. J. Speech Technol., 2021

MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction.

Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur

Int. J. Pattern Recognit. Artif. Intell., 2021

2020

Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification.

Venkatesulu Dondeti, Jyostna Devi Bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti

Rev. d'Intelligence Artif., 2020

Classifying Limited Resource Data Using Semi-supervised SVM.

Naralasetti Veeranjaneyulu, Jyostna Devi Bodapati, Suvarna Buradagunta

Ingénierie des Systèmes d Inf., 2020

Performance Comparison of Sorting Algorithms with Random Numbers as Inputs.

Suvarna Buradagunta, Jyostna Devi Bodapati, Nirupama Bhat Mundukur, Shaik Salma

Ingénierie des Systèmes d Inf., 2020

Brain Tumor Detection Using Deep Features in the Latent Space.

Jyostna Devi Bodapati, Annepu Vijay, Naralasetti Veeranjaneyulu

Ingénierie des Systèmes d Inf., 2020

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction.

Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo

CoRR, 2020

2019

Home Automation and Security System Using IOT.

Naralasetti Veeranjaneyulu, Gavini Srivalli, Jyostna Devi Bodapati

Rev. d'Intelligence Artif., 2019

Feature Extraction and Classification UsingDeep Convolutional Neural Networks.

Jyostna Devi Bodapati, Veeranjaneyulu Naralasetti

J. Cyber Secur. Mobil., 2019

Modelling of Monthly Rainfall Patterns in the North-West India Using SVM.

Kalpana Polisetty, Kiran Kumar Paidipati, Jyostna Devi Bodapati

Ingénierie des Systèmes d Inf., 2019

Sentiment Analysis from Movie Reviews Using LSTMs.

Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef

Ingénierie des Systèmes d Inf., 2019

Robust Cluster-then-label (RCTL) Approach for Heart Disease Prediction.

Jyostna Devi Bodapati, Venkata Rama Krishna Sajja, Nirupama Bhat Mundukur, Naralasetti Veeranjaneyulu

Ingénierie des Systèmes d Inf., 2019

2016

Abnormal Network Traffic Detection Using Support Vector Data Description.

Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu

Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

2010

A novel face recognition system based on combining eigenfaces with fisher faces using wavelets.

B. Jyostna Devi, Naralasetti Veeranjaneyulu, K. V. K. Kishore

Proceedings of the International Conference and Exhibition on Biometrics Technology, 2010