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Double compression detection based on feature fusion., , , и . ICMLC, стр. 379-384. IEEE, (2017)Digital Audio Tampering Detection Based on Deep Temporal-Spatial Features of Electrical Network Frequency., , , , и . Inf., 14 (5): 253 (мая 2023)A unified interpretable intelligent learning diagnosis framework for smart education., , , и . CoRR, (2022)Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning., , , , и . CoRR, (2022)Research on a handwritten character recognition algorithm based on an extended nonlinear kernel residual network., , , , , , и . KSII Trans. Internet Inf. Syst., 12 (1): 413-435 (2018)Abs-CAM: a gradient optimization interpretable approach for explanation of convolutional neural networks., , , , , и . Signal Image Video Process., 17 (4): 1069-1076 (июня 2023)A Hybrid Recommender Method Based on Multiple Dimension Attention Analysis., , , , , , , и . Int. J. Mob. Comput. Multim. Commun., 11 (1): 42-57 (2020)Multi-Channel Representation Learning Enhanced Unfolding Multi-Scale Compressed Sensing Network for High Quality Image Reconstruction., , , и . Entropy, 25 (12): 1579 (декабря 2023)Shallow and deep feature fusion for digital audio tampering detection., , , , , и . EURASIP J. Adv. Signal Process., 2022 (1): 69 (2022)Students' Classroom Behavior Detection System Incorporating Deformable DETR with Swin Transformer and Light-Weight Feature Pyramid Network., , , , и . Syst., 11 (7): 372 (июля 2023)