Iris Recognition using Combined Statistical and Co-Occurrence Multi-Resolutional Features. - J. Raja Sekar; S. Arivazhagan 001; S. Shobana Priyadharshini; S. Shunmugapriya (Int. J. Pattern Recognit. Artif. Intell., 2013)

Supervised and unsupervised learning for characterising the industrial material defects. - P. Radha; N. Selvakumar; J. Raja Sekar; J. V. Johnsonselva (Int. J. Bus. Intell. Data Min., 2022)

Ensembling Scale Invariant and Multiresolution Gabor Scores for Palm Vein Identification. - G. Ananthi; J. Raja Sekar; S. Arivazhagan 001 (Inf. Technol. Control., 2022)

Human palm vein authentication using curvelet multiresolution features and score level fusion. - G. Ananthi; J. Raja Sekar; S. Arivazhagan 001 (Vis. Comput., 2022)

An Optimized Framework for Diabetes Mellitus Diagnosis Using Grid Search Based Support Vector Machine. - S. Amutha; J. Raja Sekar (ICCCSP, 2023)

Deep Neural Network Based Cardio Vascular Disease Prediction Using Binarized Butterfly Optimization. - S. Amutha; J. Raja Sekar (Intell. Autom. Soft Comput., 2023)

Abnormal Crowd Behavior Detection Using Optimized Pyramidal Lucas-Kanade Technique. - G. Rajasekaran; J. Raja Sekar (Intell. Autom. Soft Comput., 2023)

Density-Based Dynamically Self-Parameterized Clustering for Material Inspection. - P. Radha; N. Selvakumar; J. Raja Sekar; J. V. Johnsonselva (Comput. J., 2023)

Optimizing feature selection and parameter tuning for breast cancer detection using hybrid GAHBA-DNN framework. - K. Kamala Devi; J. Raja Sekar (J. Intell. Fuzzy Syst., 2024)