V. Vinolin - researchr alias

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Viewing Publication 1 - 5 from 5

2023

Sparse FCM-Based Map-Reduce Framework for Distributed Parallel Data Clustering in E-Khool Learning PlatformA. Suki Antely, P. Jegatheeswari, M. Bibin Prasad, V. Vinolin, S. Vinusha, B. R. Rajakumar, D. Binu. ijufks, 31(1):1-23, February 2023. [doi]

2022

Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environmentV. Vinolin, M. Sucharitha. program, 56(1):103-131, 2022. [doi]

2021

Dual adaptive deep convolutional neural network for video forgery detection in 3D lighting environmentV. Vinolin, M. Sucharitha. vc, 37(8):2369-2390, 2021. [doi]

Taylor-RNet: An approach for image forgery detection using Taylor-adaptive rag-bull rider-based deep convolutional neural networkV. Vinolin, M. Sucharitha. ijis, 36(11):6503-6530, 2021. [doi]

Hierarchical Categorization and Review of Recent Techniques on Image Forgery DetectionV. Vinolin, M. Sucharitha. cj, 64(11):1692-1704, 2021. [doi]

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