Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms

Research article (Neural Computing and Applications, 2021) · cited 16× · AI/ML
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Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms

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Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-convolutional-neural-network-architecture-driven-by-residual-features-for-steganalysis-of-spatial-steganographic-
MLA “Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-convolutional-neural-network-architecture-driven-by-residual-features-for-steganalysis-of-spatial-steganographic-.
BibTeX @misc{4ortxyz_hybrid-convolutional-neural-network-architecture-driven-by-residual-features-for-steganalysis-of-spatial-steganographic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-convolutional-neural-network-architecture-driven-by-residual-features-for-steganalysis-of-spatial-steganographic-}, note = {Accessed: 2026-05-24}}
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