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)

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)

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

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)

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)

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