Identification of Landslides From Remote Sensing Satellite Imagery Using YOLOv7. - R. Prasanna Kumar; G. Bharathi Mohan; Rohith N. D; Mukesh K; Harish B; Yamani Kakarla (ICCCNT, 2023)

Sarcasm Detection in Telugu and Tamil: An Exploration of Machine Learning and Deep Neural Networks. - R. Prasanna Kumar; G. Bharathi Mohan; Yamani Kakarla; Jayaprakash S. L; Kolla Gnapika Sindhu; Tekumudi Vivek Sai Surya Chaitanya; Bachu Ganesh; Nunna Hasmitha Krishna (ICCCNT, 2023)

Quantum Kernel-aided Support Vector Machine Classifier for Improved Speech Classification. - Hasmitha Krishna N; Sridevi S; R. Prasanna Kumar (ICCCNT, 2023)

Hybrid Classical Quantum Neural Network based classification of Photonic Band Gap crystal structure defects. - Paayas P; Sridevi S; Kanimozhi T; Valliammai M; Mohanraj J; Vinodh Kumar N; Bakiya A; R. Prasanna Kumar; M. Rithani (ICCCNT, 2023)

Transformer-Based Models for Named Entity Recognition: A Comparative Study. - R. Prasanna Kumar; G. Bharathi Mohan; Parthasarathy Srinivasan; Venkatakrishnan R (ICCCNT, 2023)

Sketch to Image synthesis using attention based contextual GAN. - Sudharson S; R. Prasanna Kumar; Shaik Nawab Mudassir (ICCCNT, 2023)

Generalized Deep-learning Models to Classify Allen Telescope Data. - Sridevi S; R. Prasanna Kumar; Abhivyakti Yadav; Jayant Toleti; D. Sai Sruthik Reddy; R. Kaif Ahmed; Gottipati Koushitha; Balachandran S; M. Rithani (ICCCNT, 2023)

Novel hybrid classifier synergizing 3D_2D CNN with Support Vector Machine to enhance Hyperspectral image classification. - 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 (ICCCNT, 2023)

Application of Machine Learning and Deep Learning Algorithms in Predicting Virtual Network Functions for Network Function Virtualization. - Chereddy Spandana; Ippatapu Venkata Srisurya; Priyadharshini A R; Krithika S; S. Sridevi; R. Prasanna Kumar (ICCCNT, 2023)

Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition. - Gunti Swathi; R. Prasanna Kumar; G. Bharathi Mohan; Elakkiya R (ICCCNT, 2023)

MIMIC III Text classification with the generalization of BERT transformer model synergized with XGBoost classifier. - Viswanathan V; Sridevi S; R. Prasanna Kumar; Balachandran S (ICCCNT, 2023)

A review on big data based on deep neural network approaches. - M. Rithani; R. Prasanna Kumar; Srinath Doss (Artif. Intell. Rev., 2023)

Enhancing Road Semantic Segmentation Using Generative Adversarial Networks. - Vemireddy Anvitha; R. Elakkiya; G. Bharati Mohan; Gundala Pallavi; R. Prasanna Kumar (ICCCNT, 2024)

Robust Hybrid Model for Social Media Sentiment Analysis. - Dingari Jahnavi; Sasank Sami; Sandeep Pulata; G. Bharathi Mohan; R. Prasanna Kumar (ICCCNT, 2024)

Enhancing Disaster Awareness using BERT-Based Analysis of Twitter Chat. - M. Charan Kumar; D. Spoorthi Keya; G. Bharathi Mohan; M. Rithani; Gundala Pallavi; R. Prasanna Kumar (ICCCNT, 2024)

MBTI Based Personality Prediction using Social Media Data. - R. Prasanna Kumar; G. Bharathi Mohan; M. Rithani; Gundala Pallavi (ICCCNT, 2024)

Image Caption Generation using Contrastive Language Image Pretraining. - G. Bharathi Mohan; R. Harigaran; P. Sri Varshan; Repakula Srimani; R. Prasanna Kumar; R. Elakkiya (ICCCNT, 2024)

Dual-Attention Protein Secondary Structure Prediction (DAPSS-Pred). - Gundala Pallavi; R. Prasanna Kumar; I. R. Oviya (ICCCNT, 2024)

AMOSI: Attention-Based Multimodal Sentiment Intensity Analysis with LSTM-CNN Architecture for Online Opinion Videos. - V. V. V. Bhagya Sree; G. Bharathi Mohan; R. Prasanna Kumar; M. Rithani; Gundala Pallavi (ICCCNT, 2024)

QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification. - Gunti Swathi; Ali Altalbe; R. Prasanna Kumar (IEEE Access, 2024)

An analysis of large language models: their impact and potential applications. - G. Bharathi Mohan; R. Prasanna Kumar; P. Vishal Krishh; A. Keerthinathan; G. Lavanya; Meka Kavya Uma Meghana; Sheba Sulthana; Srinath Doss (Knowl. Inf. Syst., 2024)

Correction: An analysis of large language models: their impact and potential applications. - G. Bharathi Mohan; R. Prasanna Kumar; P. Vishal Krishh; A. Keerthinathan; G. Lavanya; Meka Kavya Uma Meghana; Sheba Sulthana; Srinath Doss (Knowl. Inf. Syst., 2024)

QViLa: Quantum Infused Vision-Language Model for Enhanced Multimodal Understanding. - K. Mukesh; Jayaprakash S. L; R. Prasanna Kumar (SN Comput. Sci., 2024)

A dynamic ensemble learning based data mining framework for medical imbalanced big data. - M. Rithani; R. Prasanna Kumar; Ali Altalbe (Knowl. Based Syst., 2025)

Telugu Language Analysis with XLM-RoBERTa: Enhancing Parts of Speech Tagging for Effective Natural Language Processing. - G. Bharathi Mohan; R. Prasanna Kumar; K. Krishna Jayanth; Srinath Doss (SN Comput. Sci., 2025)

DSAF: A Dual-Stage Attention Based Multimodal Fusion Framework for Medical Visual Question Answering. - K. Mukesh; Jayaprakash S. L; R. Prasanna Kumar (SN Comput. Sci., 2025)

Enhancing pre-trained models for text summarization: a multi-objective genetic algorithm optimization approach. - G. Bharathi Mohan; R. Prasanna Kumar; R. Elakkiya (Multim. Tools Appl., 2025)

Detoxifying language model outputs: combining multi-agent debates and reinforcement learning for improved summarization. - G. Bharathi Mohan; M. Gayathri; R. Prasanna Kumar (Lang. Resour. Evaluation, 2025)