Publications

K. Bindra, H. Gupta, D. Bhattacharya, and R. Thakur, “HyperSwin: preventing deepfake proliferation with swin-efficient fusion in a hyperledger ecosystem,” Signal, Image and Video Processing, vol. 19, no. 8, May 2025, doi: https://doi.org/10.1007/s11760-025-04183-8.

R. Thakur and R. Rohilla, “An effective framework based on hybrid learning and kernel principal component analysis for face manipulation detection,” Signal, Image and Video Processing, Apr. 2024, doi: https://doi.org/10.1007/s11760-024-03117-0.

R. Thakur and R. Rohilla, “Recent advances in digital image manipulation detection techniques: A brief review,” Forensic Sci. Int., vol. 312, p. 110311, 2020 (Elsevier, I. F.- 2.676 ), doi: 10.1016/j.forsciint.2020.110311.

R. Thakur and R. Rohilla, "Copy-Move Forgery Detection using Residuals and Convolutional Neural Network Framework: A Novel Approach," 2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC), Greater Noida, India, 2019, pp. 561-564 (IEEE, Scopus Indexed), doi: 10.1109/PEEIC47157.2019.8976868. 

T. Bhagat and R. Thakur, "Automatic Recognition of License Plates," 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), Hyderabad, India, 2021, pp. 118-122 (IEEE, Scopus Indexed), doi: 10.1109/ICETCI51973.2021.9574072 

T. Bhagat and R. Thakur, "Miller Compensation using CMOS OPAMP employing Current Buffer," 2022 3rd International Conference for Emerging Technology (INCET), Belgaum, India, 2022, pp. 1-5 (IEEE, Scopus Indexed), doi: 10.1109/INCET54531.2022.9824739.

R. Thakur, H. Singh, C. S. Narula, and Harsh, “An Efficient Deep Neural Network-Based Framework for Building an Automatic Attendance System,” in Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences, 2022, pp. 611–619 (Springer, Scopus Indexed). Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-5747-4_52

R. Thakur, S. Raj, S. Pandey, and others, “Driver Drowsiness Detection System Using Machine Learning,” in Advanced Production and Industrial Engineering, IOS Press, 2022, pp. 31–38 (IOS Press, Scopus Indexed). DOI: 10.3233/ATDE220718

P. Agarwal, N. Yadav, R. Kumar, and R. Thakur, “Convolutional Neural Network for COVID-19 Detection,” in Proceedings of International Conference on Data Science and Applications, 2023, pp. 557–569 (Springer, Scopus Indexed). Lecture Notes in Networks and Systems, vol 552. Springer, Singapore. https://doi.org/10.1007/978-981-19-6634-7_39

R. Thakur, A. K. Samanta, Amrit and D. Garg, "DeepFake Detection using Transfer Learning," 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023, pp. 1-6, (IEEE, Scopus Indexed) doi: 10.1109/WCONF58270.2023.10234965.

R. Thakur and R. Rohilla, "LFRViT: Laplacian Filter Residual-based Vision Transformer for Multiple Image Forgery Detection," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-5, doi: 10.1109/ICCCNT61001.2024.10724100.