Drought Forecasting: Application of Ensemble and Advanced Machine Learning Approaches. - Geetabai S. Hukkeri; Sujay Raghavendra Naganna; Dayananda Pruthviraja; Nagaraj Bhat; R. H. Goudar (IEEE Access, 2023)

A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review. - Dhananjaya G. M; R. H. Goudar; Anjanabhargavi Kulkarni; Vijayalaxmi N. Rathod; Geetabai S. Hukkeri (IEEE Access, 2024)

A Survey on E-Learning Recommendation Systems for Autistic People. - Vijayalaxmi N. Rathod; R. H. Goudar; Anjanabhargavi Kulkarni; Dhananjaya G. M; Geetabai S. Hukkeri (IEEE Access, 2024)

A Deep Learning Approach for Malnutrition Detection. - Shilpa Ankalaki; Vidyadevi G. Biradar; Kishore Kumar Naik P; Geetabai S. Hukkeri (Int. J. Online Biomed. Eng., 2024)

Cyber Attack Prediction: From Traditional Machine Learning to Generative Artificial Intelligence. - Shilpa Ankalaki; Aparna Rajesh Atmakuri; M. Pallavi; Geetabai S. Hukkeri; Tony Jan; Ganesh R. Naik (IEEE Access, 2025)

A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions. - Geetabai S. Hukkeri; R. H. Goudar; Dhananjaya G. M; Vijayalaxmi N. Rathod; Shilpa Ankalaki (IEEE Access, 2025)

Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection. - Aijazahamed Qazi; R. H. Goudar; Rudragoud Patil; Geetabai S. Hukkeri; Dhanashree F. Kulkarni (IEEE Access, 2025)

New directions for adapting intelligent communication and standardization towards 6G. - Anjanabhargavi Kulkarni; R. H. Goudar; Vijayalaxmi N. Rathod; Dhananjaya G. M; Geetabai S. Hukkeri (EAI Endorsed Trans. Scalable Inf. Syst., 2025)