Integration of Multiple Models with Hybrid Artificial Neural Network-Genetic Algorithm for Soil Cation-Exchange Capacity Prediction. - Mahmood Shahabi; Mohammad Ali Ghorbani; Sujay Raghavendra Naganna; Sungwon Kim; Sinan Jasim Hadi; Samed Inyurt; Aitazaz A. Farooque; Zaher Mundher Yaseen (Complex., 2022)

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)

Machine learning models for damage detection in steel beams. - Shree Harsha; Siddesha Hanumanthappa; Sreedhara B. Marulasiddappa; Sujay Raghavendra Naganna (Int. J. Syst. Assur. Eng. Manag., 2023)

Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data. - Zaharaddeen Karami Lawal; Ali Aldrees; Hayati Yassin; Salisu Dan'azumi; Sujay Raghavendra Naganna; Sani Isah Abba; Saad Sh. Sammen (IEEE Access, 2024)

Prediction of scour depth around bridge abutments using ensemble machine learning models. - Sreedhara B. Marulasiddappa; Amit Prakash Patil; Geetha Kuntoji; K. M. Praveen; Sujay Raghavendra Naganna (Neural Comput. Appl., 2024)

Modeling the compressive strength of binary and ternary blended high-performance concrete mixtures using ensemble machine learning models. - Madhu Narasimha Murthy; S. Kumar Amruth; Sreedhara B. Marulasiddappa; Sujay Raghavendra Naganna (Soft Comput., 2024)