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 ...
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.
Layer 0 provides the infrastructure, while layer 1 — e.g., Bitcoin, Ethereum — forms the base protocol. Layer 2 enhances scalability through offchain solutions like sidechains or rollups.
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 ...
The announcement, made during the launch of SOON’s general-purpose layer-2 (L2) solution, highlights the platform’s use of the Solana Virtual Machine (SVM) as its execution layer. Built on ...
However, in the farming ridge segmentation scenarios based on remote sensing photos, the commonly used semantic segmentation methods tend ... architecture of strip pooling and atrous spatial pyramid ...
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