Naralasetti Veeranjaneyulu

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 15

Top Topics

Tumor Classification

Diabetic Retinopathy

Support Vector Data Description

Top Venues

Ingénierie des Systèmes d Inf.

Rev. d'Intelligence Artif.

Signal Image Video Process.

Int. J. Pattern Recognit. Artif. Intell.

Publications

Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu, Nirupama Bhat Mundukur
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction. Int. J. Pattern Recognit. Artif. Intell. 35 (7) (2021)
Gokul Yenduri, Naralasetti Veeranjaneyulu
A Nonlinear Weight-Optimized Maintainability Index of Software Metrics by Grey Wolf Optimization. Int. J. Swarm Intell. Res. 12 (2) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification. J. Ambient Intell. Humaniz. Comput. 12 (10) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction. Signal Image Video Process. 15 (5) (2021)
Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu, Nirupama Bhat Mundukur
Joint training of two-channel deep neural network for brain tumor classification. Signal Image Video Process. 15 (4) (2021)
Jyostna Devi Bodapati, Annepu Vijay, Naralasetti Veeranjaneyulu
Brain Tumor Detection Using Deep Features in the Latent Space. Ingénierie des Systèmes d Inf. 25 (2) (2020)
Venkatesulu Dondeti, Jyostna Devi Bodapati, Shaik Nagur Shareef, Naralasetti Veeranjaneyulu
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification. Rev. d'Intelligence Artif. 34 (3) (2020)
Naralasetti Veeranjaneyulu, Jyostna Devi Bodapati, Suvarna Buradagunta
Classifying Limited Resource Data Using Semi-supervised SVM. Ingénierie des Systèmes d Inf. 25 (3) (2020)
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction. CoRR (2020)
Jyostna Devi Bodapati, Venkata Rama Krishna Sajja, Nirupama Bhat Mundukur, Naralasetti Veeranjaneyulu
Robust Cluster-then-label (RCTL) Approach for Heart Disease Prediction. Ingénierie des Systèmes d Inf. 24 (3) (2019)
Gokul Yenduri, Naralasetti Veeranjaneyulu
An Analysis of Maintainability Index Influencing Metrics and Their Behavior on Similar Open Source Gaming Application Developed in C, C++ and, JAVA. Ingénierie des Systèmes d Inf. 24 (1) (2019)
Naralasetti Veeranjaneyulu, Gavini Srivalli, Jyostna Devi Bodapati
Home Automation and Security System Using IOT. Rev. d'Intelligence Artif. 33 (1) (2019)
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Shaik Nagur Shareef
Sentiment Analysis from Movie Reviews Using LSTMs. Ingénierie des Systèmes d Inf. 24 (1) (2019)
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu
Feature Extraction and Classification UsingDeep Convolutional Neural Networks. J. Cyber Secur. Mobil. 8 (2) (2019)
Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu
Abnormal Network Traffic Detection Using Support Vector Data Description. FICTA (1) (2016)
B. Jyostna Devi, Naralasetti Veeranjaneyulu, K. V. K. Kishore
A novel face recognition system based on combining eigenfaces with fisher faces using wavelets. Biometrics Technology (2010)