• 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, doi: 10.1109/PEEIC47157.2019.8976868.
• R. Thakur and R. Rohilla, “Recent advances in digital image manipulation detection techniques: A brief review,” Forensic Sci. Int., vol. 312, p. 110311, 2020, doi: 10.1016/j.forsciint.2020.110311.
• 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, 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, 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. 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. Lecture Notes in Networks and Systems, vol 552. Springer, Singapore. https://doi.org/10.1007/978-981-19-6634-7_39

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