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Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19.

, , and . FIE, page 1-8. IEEE, (2023)

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A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods., , and . Inf. Fusion, (2021)Beyond the pixels: learning and utilising video compression features for localisation of digital tampering.. Robert Gordon University, Aberdeen, UK, (2019)British Library, EThOS.Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection., , , and . Cogn. Comput., 14 (6): 2223-2233 (2022)Face Spoof Detection: An Experimental Framework., , and . EANN, 3, page 293-304. Springer, (2021)Spatial Effects of Video Compression on Classification in Convolutional Neural Networks., , and . IJCNN, page 1-8. IEEE, (2018)Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels., , and . EANN, volume 893 of Communications in Computer and Information Science, page 44-57. Springer, (2018)Unmasking the Imposters: Task-specific feature learning for face presentation attack detection., , and . IJCNN, page 1-8. IEEE, (2023)Out of the oven and into the (reusable) bag: Sous-vide book delivery, , , , and . The sustainable library's cookbook, Association of College & Research Libraries (ACRL), Chicago, IL, Academic libraries; Sustainability programs.(2019)Video tampering localisation using features learned from authentic content., , and . Neural Comput. Appl., 32 (16): 12243-12257 (2020)Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19., , and . FIE, page 1-8. IEEE, (2023)