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R. Prasanna Kumar
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2020 – today
- 2024
- [j4]Gunti Swathi, Ali Altalbe, R. Prasanna Kumar:
QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification. IEEE Access 12: 27829-27842 (2024) - [j3]G. Bharathi Mohan, R. Prasanna Kumar, P. Vishal Krishh, A. Keerthinathan, G. Lavanya, Meka Kavya Uma Meghana, Sheba Sulthana, Srinath Doss:
An analysis of large language models: their impact and potential applications. Knowl. Inf. Syst. 66(9): 5047-5070 (2024) - [j2]G. Bharathi Mohan, R. Prasanna Kumar, P. Vishal Krishh, A. Keerthinathan, G. Lavanya, Meka Kavya Uma Meghana, Sheba Sulthana, Srinath Doss:
Correction: An analysis of large language models: their impact and potential applications. Knowl. Inf. Syst. 66(11): 7163-7164 (2024) - 2023
- [j1]M. Rithani, R. Prasanna Kumar, Srinath Doss:
A review on big data based on deep neural network approaches. Artif. Intell. Rev. 56(12): 14765-14801 (2023) - [c11]R. Prasanna Kumar, G. Bharathi Mohan, Rohith N. D, Mukesh K, Harish B, Yamani Kakarla:
Identification of Landslides From Remote Sensing Satellite Imagery Using YOLOv7. ICCCNT 2023: 1-5 - [c10]R. Prasanna Kumar, G. Bharathi Mohan, Yamani Kakarla, Jayaprakash S. L, Kolla Gnapika Sindhu, Tekumudi Vivek Sai Surya Chaitanya, Bachu Ganesh, Nunna Hasmitha Krishna:
Sarcasm Detection in Telugu and Tamil: An Exploration of Machine Learning and Deep Neural Networks. ICCCNT 2023: 1-7 - [c9]Hasmitha Krishna N, Sridevi S, R. Prasanna Kumar:
Quantum Kernel-aided Support Vector Machine Classifier for Improved Speech Classification. ICCCNT 2023: 1-6 - [c8]Paayas P, Sridevi S, Kanimozhi T, Valliammai M, Mohanraj J, Vinodh Kumar N, Bakiya A, R. Prasanna Kumar, M. Rithani:
Hybrid Classical Quantum Neural Network based classification of Photonic Band Gap crystal structure defects. ICCCNT 2023: 1-5 - [c7]R. Prasanna Kumar, G. Bharathi Mohan, Parthasarathy Srinivasan, Venkatakrishnan R:
Transformer-Based Models for Named Entity Recognition: A Comparative Study. ICCCNT 2023: 1-5 - [c6]Sudharson S, R. Prasanna Kumar, Shaik Nawab Mudassir:
Sketch to Image synthesis using attention based contextual GAN. ICCCNT 2023: 1-6 - [c5]Sridevi S, R. Prasanna Kumar, Abhivyakti Yadav, Jayant Toleti, D. Sai Sruthik Reddy, R. Kaif Ahmed, Gottipati Koushitha, Balachandran S, Rithani M:
Generalized Deep-learning Models to Classify Allen Telescope Data. ICCCNT 2023: 1-6 - [c4]Sridevi S, V. V. V. Bhagya Sree, Sudarshan R, R. Prasanna Kumar, Shanmugakumar M, Balasubramanian Esakki, Surendar Ganesan, Balachandran S, Kanimozhi T, Jae Sung Choi, M. Rithani:
Novel hybrid classifier synergizing 3D_2D CNN with Support Vector Machine to enhance Hyperspectral image classification. ICCCNT 2023: 1-6 - [c3]Chereddy Spandana, Ippatapu Venkata Srisurya, Priyadharshini A R, Krithika S, S. Sridevi, R. Prasanna Kumar:
Application of Machine Learning and Deep Learning Algorithms in Predicting Virtual Network Functions for Network Function Virtualization. ICCCNT 2023: 1-6 - [c2]Gunti Swathi, R. Prasanna Kumar, G. Bharathi Mohan, Elakkiya R:
Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition. ICCCNT 2023: 1-7 - [c1]Viswanathan V, Sridevi S, R. Prasanna Kumar, Balachandran S:
MIMIC III Text classification with the generalization of BERT transformer model synergized with XGBoost classifier. ICCCNT 2023: 1-6
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last updated on 2024-10-10 22:18 CEST by the dblp team
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