Naralasetti Veeranjaneyulu

According to our database, Naralasetti Veeranjaneyulu authored at least 16 papers between 2010 and 2021.

Collaborative distances:

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

2021

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

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

Signal Image Video Process., 2021

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

Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu

J. Ambient Intell. Humaniz. Comput., 2021

A Nonlinear Weight-Optimized Maintainability Index of Software Metrics by Grey Wolf Optimization.

Gokul Yenduri, Naralasetti Veeranjaneyulu

Int. J. Swarm Intell. Res., 2021

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

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

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

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, Naralasetti Veeranjaneyulu

J. Cyber Secur. Mobil., 2019

An Analysis of Maintainability Index Influencing Metrics and Their Behavior on Similar Open Source Gaming Application Developed in C, C++ and, JAVA.

Gokul Yenduri, Naralasetti Veeranjaneyulu

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