| Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction SN Jyostna Devi Bodapati, N. Veeranjaneyulu, Shareef Electronics 2020, 9(6), 914; 9 (6), 914, 2020 | 127* | 2020 |
| Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification V Bodapati, J.D., Shaik, N.S. & Naralasetti journal of ambient intelligence and humanized computing, 2021 | 113 | 2021 |
| Joint training of two-channel deep neural network for brain tumor classification NBM Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti Signal, Image and Video Processing 14 (7), 1-8, 2020 | 77* | 2020 |
| Survey on clustering algorithms for unstructured data RSML Patibandla, N Veeranjaneyulu Intelligent engineering informatics: proceedings of the 6th international …, 2018 | 62 | 2018 |
| Feature extraction and classification using deep convolutional neural networks JD Bodapati, N Veeranjaneyulu Journal of Cyber Security and Mobility, 261-276, 2019 | 61 | 2019 |
| Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction V Bodapati, J.D., Shaik, N.S. & Naralasetti Signal, Image and Video Processing, 2021 | 53 | 2021 |
| Performance analysis of partition and evolutionary clustering methods on various cluster validation criteria RSML Patibandla, N Veeranjaneyulu Arabian Journal for Science and Engineering 43 (8), 4379-4390, 2018 | 51 | 2018 |
| Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification NVJD Bodapati Revue d'Intelligence Artificielle 34 (1), 2020 | 49 | 2020 |
| Sentiment Analysis from Movie Reviews Using LSTMs. JD Bodapati, N Veeranjaneyulu, SN Shareef Ingénierie des Systèmes d Inf. 24 (1), 125-129, 2019 | 46 | 2019 |
| FERNet: a deep CNN architecture for facial expression recognition in the wild JD Bodapati, U Srilakshmi, N Veeranjaneyulu Journal of The institution of engineers (India): series B 103 (2), 439-448, 2022 | 34 | 2022 |
| Unstructured Data: Qualitative Analysis RSML Patibandla, SS Kurra, A Prasad, N Veeranjaneyulu J. of Computation In Biosciences And Engineering 2 (3), 1-4, 2015 | 30 | 2015 |
| Explanatory & complex analysis of structured data to enrich data in analytical appliance RSML Patibandla, N Veeranjaneyulu International Journal for Modern Trends in Science and Technology 4, 147-151, 2018 | 29 | 2018 |
| A novel key management using elliptic and Diffie-Hellman for managing users in cloud environment KS Sri, N Veeranjaneyulu Advances in Modelling and Analysis B 61 (2), 106-112, 2018 | 28 | 2018 |
| A study on real-time business intelligence and big data RSML Patibandla, SS Kurra, N Veeranjaneyulu Information Engineering 4, 1-6, 2015 | 28 | 2015 |
| Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks NS Kavya, N Veeranjaneyulu, DD Priya Materials Today: Proceedings 64, 737-743, 2022 | 27 | 2022 |
| Decentralized Key Management Using Alternating Multilinear Forms for Cloud Data Sharing with Dynamic Multiprivileged Groups KS Sri, N Veeranjaneyulu Mathematical Modelling of Engineering Problems 6 (4), 511-518, 2019 | 27 | 2019 |
| Facial emotion recognition using deep Cnn based features N Bodapati, J.D., Veeranjaneyulu International Journal of Innovative Technology and Exploring Engineering, 2019 | 27 | 2019 |
| Effect of different kernels on the performance of an SVM based classification N Kancherla, D., Bodapati, J.D., Veeranjaneyulu International Journal of Recent Technology and Engineering, 2019 | 26 | 2019 |
| “A Study on Deployment of Web Applications Require Strong Consistency using Multiple Clouds P Lakshmi, KS Sri, DN Veeranjaneyulu IJMTST 3 (1), 14-17, 2017 | 25 | 2017 |
| MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction” Jyostna Devi bodapati, Shaik Nagur Shareef, Veeranjaneyulu Naralasetti and ... International Journal of Pattern Recognition and Artificial Intelligence, 2021 | 23 | 2021 |
Dr Jyostna Devi BodapatiVFSTR Deemed to be UniversityVerified email at vignan.ac.in
