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ORCIDVeeranjaneyulu Naralasetti
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- affiliation: Vignan's Foundation for Science Technology and Research, VFSTR University, Department of Information Technology and Computer Applications, India
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2020 – today
- 2025
[j22]Theyyagura M. K. Reddy, Gokul Yenduri, N. Veeranjaneyulu:
Knowledge mining from project retrospect for organisational learning in the responsive software engineering areas. Int. J. Adv. Intell. Paradigms 30(4): 283-295 (2025)- [j21]Gokul Yenduri, Naralasetti Veeranjaneyulu:
An empirical analysis of software maintainability metrics: object-oriented approach versus traditional. Int. J. Adv. Intell. Paradigms 30(5): 419-432 (2025) - [j20]Veerababu Reddy, N. Veeranjaneyulu:
DeepFinLLM: an intelligent financial advisor unleashing strategic insights with large language models. J. Intell. Inf. Syst. 63(5): 1713-1736 (2025) - [j19]Divya Singh, T. Prabhakara Rao, N. Veeranjaneyulu, T. Sunil Kumar Reddy:
Design a multi-objective optimization with dynamic and global filter pruning strategy for convolutional neural network. Multim. Tools Appl. 84(3): 1345-1358 (2025) - 2024
- [j18]N. Veeranjaneyulu, Jyostna Devi Bodapati, Subbarao Peram:
Towards smart healthcare system in airlines with IoT and cloud computing. Int. J. Adv. Intell. Paradigms 29(4): 295-304 (2024) - [j17]Jyostna Devi Bodapati, N. Veeranjaneyulu, B. Naga Mounika, B. Suvarna:
Multi-modal feature fusion and its application to brain tumour classification. Int. J. Adv. Intell. Paradigms 29(4): 305-321 (2024) - [j16]Veeranjaneyulu Naralasetti, Jyostna Devi Bodapati
:
Adaptive ensembling of multi-modal deep spatial representations for diabetic retinopathy diagnosis. Multim. Tools Appl. 83(26): 68467-68486 (2024) - [c3]Veerababu Reddy, Usha Rani Uppukonda, N. Veeranjaneyulu:
Enhancing Multi-label text classification using adaptive promptify concepts. ICCCNT 2024: 1-5 - 2021
- [j15]K. Santhi Sri, Naralasetti Veeranjaneyulu:
Privacy preserving using Diffie-Hellman and an envelope protocol through key handling techniques in cloud storage. Int. J. Adv. Intell. Paradigms 20(3/4): 264-276 (2021) - [j14]Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur:
MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction. Int. J. Pattern Recognit. Artif. Intell. 35(7): 2157005:1-2157005:22 (2021) - [j13]Gokul Yenduri, Veeranjaneyulu Naralasetti:
A Nonlinear Weight-Optimized Maintainability Index of Software Metrics by Grey Wolf Optimization. Int. J. Swarm Intell. Res. 12(2): 1-21 (2021) - [j12]Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti:
Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification. J. Ambient Intell. Humaniz. Comput. 12(10): 9825-9839 (2021) - [j11]Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti, Nirupama Bhat Mundukur:
Joint training of two-channel deep neural network for brain tumor classification. Signal Image Video Process. 15(4): 753-760 (2021) - [j10]Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti:
Deep convolution feature aggregation: an application to diabetic retinopathy severity level prediction. Signal Image Video Process. 15(5): 923-930 (2021) - [j9]Veeranjaneyulu Naralasetti, Reshmi Khadherbhi Shaik, Gayatri Katepalli, Jyostna Devi Bodapati:
Deep Learning Models for Pneumonia Identification and Classification Based on X-Ray Images. Traitement du Signal 38(3): 903-909 (2021) - 2020
- [j8]Jyostna Devi Bodapati, Annepu Vijay, Naralasetti Veeranjaneyulu:
Brain Tumor Detection Using Deep Features in the Latent Space. Ingénierie des Systèmes d Inf. 25(2): 259-265 (2020) - [j7]Naralasetti Veeranjaneyulu, Jyostna Devi Bodapati, Suvarna Buradagunta:
Classifying Limited Resource Data Using Semi-supervised SVM. Ingénierie des Systèmes d Inf. 25(3): 391-395 (2020) - [j6]Venkatesulu Dondeti, Jyostna Devi Bodapati, Nagur Shareef Shaik, Veeranjaneyulu Naralasetti:
Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification. Rev. d'Intelligence Artif. 34(3): 307-313 (2020) - [i1]Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Nagur Shareef Shaik, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo:
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction. CoRR abs/2006.00197 (2020)
2010 – 2019
- 2019
- [j5]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): 83-87 (2019) - [j4]Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu, Nagur Shareef Shaik:
Sentiment Analysis from Movie Reviews Using LSTMs. Ingénierie des Systèmes d Inf. 24(1): 125-129 (2019) - [j3]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): 255-260 (2019) - [j2]Jyostna Devi Bodapati, Veeranjaneyulu Naralasetti:
Feature Extraction and Classification UsingDeep Convolutional Neural Networks. J. Cyber Secur. Mobil. 8(2): 261-276 (2019) - [j1]Naralasetti Veeranjaneyulu, Gavini Srivalli, Jyostna Devi Bodapati:
Home Automation and Security System Using IOT. Rev. d'Intelligence Artif. 33(1): 21-24 (2019) - 2016
- [c2]Jyostna Devi Bodapati, Naralasetti Veeranjaneyulu:
Abnormal Network Traffic Detection Using Support Vector Data Description. FICTA (1) 2016: 497-506 - 2010
- [c1]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: 44-51
Coauthor Index
aka: B. Jyostna Devi
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