Jyostna Devi Bodapati

Multim. Tools Appl., August, 2024

Medtransnet: advanced gating transformer network for medical image classification.

[BibT_eX]

[DOI]

Teja Krishna Cherukuri

N. Veeranjaneulu

Mach. Vis. Appl., July, 2024

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

[BibT_eX]

[DOI]

Bharadwaj Bagepalli Balaji

Multim. Tools Appl., January, 2024

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

[BibT_eX]

[DOI]

Bharadwaj Bagepalli Balaji

Multim. Tools Appl., 2024

2022

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

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

2021

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

[BibT_eX]

[DOI]

Reshmi Khadherbhi Shaik

Gayatri Katepalli

Traitement du Signal, 2021

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

[BibT_eX]

[DOI]

Signal Image Video Process., 2021

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

[BibT_eX]

[DOI]

Signal Image Video Process., 2021

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

[BibT_eX]

[DOI]

Signal Image Video Process., 2021

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

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2021

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

[BibT_eX]

[DOI]

Int. J. Speech Technol., 2021

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

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Venkatesulu Dondeti

Rev. d'Intelligence Artif., 2020

Classifying Limited Resource Data Using Semi-supervised SVM.

[BibT_eX]

[DOI]

Suvarna Buradagunta

Ingénierie des Systèmes d Inf., 2020

Performance Comparison of Sorting Algorithms with Random Numbers as Inputs.

[BibT_eX]

[DOI]

Suvarna Buradagunta

Shaik Salma

Ingénierie des Systèmes d Inf., 2020

Brain Tumor Detection Using Deep Features in the Latent Space.

[BibT_eX]

[DOI]

Annepu Vijay

Ingénierie des Systèmes d Inf., 2020

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

[BibT_eX]

[DOI]

Praveen Kumar Reddy Maddikunta

Saqib Hakak

Muhammad Bilal

Ohyun Jo

CoRR, 2020

2019

Home Automation and Security System Using IOT.

[BibT_eX]

[DOI]

Gavini Srivalli

Rev. d'Intelligence Artif., 2019

Feature Extraction and Classification UsingDeep Convolutional Neural Networks.

[BibT_eX]

[DOI]

J. Cyber Secur. Mobil., 2019

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

[BibT_eX]

[DOI]

Kalpana Polisetty

Kiran Kumar Paidipati

Ingénierie des Systèmes d Inf., 2019

Sentiment Analysis from Movie Reviews Using LSTMs.

[BibT_eX]

[DOI]

Ingénierie des Systèmes d Inf., 2019

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

[BibT_eX]

[DOI]

Venkata Rama Krishna Sajja

Ingénierie des Systèmes d Inf., 2019

2016

Abnormal Network Traffic Detection Using Support Vector Data Description.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

B. Jyostna Devi