Linguistic steganalysis via Text Dual Attention Fusing Statistical and Multi-layer Semantic features
In this letter, we propose a Text Dual Attention linguistic steganalysis method Fusing Statistical and Multi-layer Semantic features (TDA-FSMS). TDA-FSMS firstly extracts multi-layer semantic features ...
Dense Upsampling Convolution (DUC) was used in pyramid feature fusion instead of the ... which ensures that each network layer has the appropriate resolution and strong semantic features. The four ...
This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.
In the semantic layer, we employ latent Dirichlet allocation (LDA) to extract text topics and evaluate the topic distribution. Given an expected transmission accuracy, we propose a dichotomy to ...
Layering correctly is all about balancing moisture transport, trapping body heat, and keeping those nasty elements out. Every layer in the system serves a specific purpose, and they work together to ...
Mexico’s National Institute of Anthropology and History reports that, in late July 2024, a pyramid on the Ihuatzio archaeological site in the state of Michoacán collapsed due to heavy rains preceded ...
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