Hierarchical Categorization and Review of Recent Techniques on Image Forgery Detection. - V. Vinolin; M. Sucharitha (Comput. J., 2021)

Taylor-RNet: An approach for image forgery detection using Taylor-adaptive rag-bull rider-based deep convolutional neural network. - V. Vinolin; M. Sucharitha (Int. J. Intell. Syst., 2021)

Dual adaptive deep convolutional neural network for video forgery detection in 3D lighting environment. - V. Vinolin; M. Sucharitha (Vis. Comput., 2021)

Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment. - V. Vinolin; M. Sucharitha (Data Technol. Appl., 2022)

Sparse FCM-Based Map-Reduce Framework for Distributed Parallel Data Clustering in E-Khool Learning Platform. - A. Suki Antely; P. Jegatheeswari; M. Bibin Prasad; V. Vinolin; S. Vinusha; B. R. Rajakumar; D. Binu (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023)