A novel face recognition system based on combining eigenfaces with fisher faces using wavelets. - B. Jyostna Devi; Naralasetti Veeranjaneyulu; K. V. K. Kishore (Biometrics Technology, 2010)

Abnormal Network Traffic Detection Using Support Vector Data Description. - Jyostna Devi Bodapati; Naralasetti Veeranjaneyulu (FICTA (1), 2016)

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)

Sentiment Analysis from Movie Reviews Using LSTMs. - Jyostna Devi Bodapati; Naralasetti Veeranjaneyulu; Nagur Shareef Shaik (Ingénierie des Systèmes d Inf., 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)

Feature Extraction and Classification UsingDeep Convolutional Neural Networks. - Jyostna Devi Bodapati; Veeranjaneyulu Naralasetti (J. Cyber Secur. Mobil., 2019)

Home Automation and Security System Using IOT. - Naralasetti Veeranjaneyulu; Gavini Srivalli; Jyostna Devi Bodapati (Rev. d'Intelligence Artif., 2019)

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction. - Jyostna Devi Bodapati; Naralasetti Veeranjaneyulu; Nagur Shareef Shaik; Saqib Hakak; Muhammad Bilal; Praveen Kumar Reddy Maddikunta; Ohyun Jo (CoRR, 2020)

Brain Tumor Detection Using Deep Features in the Latent Space. - Jyostna Devi Bodapati; Annepu Vijay; Naralasetti Veeranjaneyulu (Ingénierie des Systèmes d Inf., 2020)

Classifying Limited Resource Data Using Semi-supervised SVM. - Naralasetti Veeranjaneyulu; Jyostna Devi Bodapati; Suvarna Buradagunta (Ingénierie des Systèmes d Inf., 2020)

Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification. - Venkatesulu Dondeti; Jyostna Devi Bodapati; Nagur Shareef Shaik; Veeranjaneyulu Naralasetti (Rev. d'Intelligence Artif., 2020)

Privacy preserving using Diffie-Hellman and an envelope protocol through key handling techniques in cloud storage. - K. Santhi Sri; Naralasetti Veeranjaneyulu (Int. J. Adv. Intell. Paradigms, 2021)

MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction. - Jyostna Devi Bodapati; Nagur Shareef Shaik; Veeranjaneyulu Naralasetti; Nirupama Bhat Mundukur (Int. J. Pattern Recognit. Artif. Intell., 2021)

A Nonlinear Weight-Optimized Maintainability Index of Software Metrics by Grey Wolf Optimization. - Gokul Yenduri; Veeranjaneyulu Naralasetti (Int. J. Swarm Intell. Res., 2021)

Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification. - Jyostna Devi Bodapati; Nagur Shareef Shaik; Veeranjaneyulu Naralasetti (J. Ambient Intell. Humaniz. Comput., 2021)

Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction. - Jyostna Devi Bodapati; Nagur Shareef Shaik; Veeranjaneyulu Naralasetti (Signal Image Video Process., 2021)

Joint training of two-channel deep neural network for brain tumor classification. - Jyostna Devi Bodapati; Nagur Shareef Shaik; Veeranjaneyulu Naralasetti; Nirupama Bhat Mundukur (Signal Image Video Process., 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)

Adaptive ensembling of multi-modal deep spatial representations for diabetic retinopathy diagnosis. - Veeranjaneyulu Naralasetti; Jyostna Devi Bodapati (Multim. Tools Appl., 2024)