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Performance of Feature Extraction Techniques using CC-PEV and Subtractive Pixel Adjacency Matrix in Machine Learning-Based Steganalysis

2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI)
Steganalysis involves detecting hidden messages embedded within cover objects, such as images, audio, or video. This paper presents a universal steganalysis method aimed at countering the most widely used spatial-domain steganography techniques.
Fajrul Malik   +2 more
semanticscholar   +1 more source

Structural Synthesis of Platform Type Manipulators via Connection Based Adjacency Matrix: Topology Generation

Journal of Mechanical Design
This paper focuses on the design procedures of Alizade's direct and Gezgin's inverse structural synthesis methodologies for platform type manipulators.
M. Yazıcı   +3 more
semanticscholar   +1 more source

Universal properties of Wigner delay times and resonance widths of tight-binding random graphs.

Physical Review E
The delay experienced by a probe due to interactions with a scattering media is highly related to the internal dynamics inside that media. This property is well captured by the Wigner delay time and the resonance widths.
K. B. Hidalgo-Castro   +3 more
semanticscholar   +1 more source

Subpixel Vision Measurement Method for Rectangular-Pin SMDs Based on Asymmetric Gaussian Gradient Edge Profile

IEEE Transactions on Industrial Informatics
In mounting machines, vision measurement of surface mount devices (SMDs) is a crucial task, widely used for size calculation and defect detection. However, current vision measurement methods focus on specific SMDs, such as quad flat packages. There is no
Weihua Liu   +3 more
semanticscholar   +1 more source

Exploring Topological Bias in Heterogeneous Graph Neural Networks

European Conference on Artificial Intelligence
Graph Neural Networks (GNNs) are characterized by their capacity of processing graph-structured data. However, due to the sparsity of labels under semi-supervised learning, they have been found to exhibit biased performance on specific nodes.
Yihan Zhang
semanticscholar   +1 more source

Spectrally Transformed Kernel Regression

International Conference on Learning Representations
Unlabeled data is a key component of modern machine learning. In general, the role of unlabeled data is to impose a form of smoothness, usually from the similarity information encoded in a base kernel, such as the $\epsilon$-neighbor kernel or the ...
Runtian Zhai   +4 more
semanticscholar   +1 more source

Genetic Algorithm with Reliability Evaluation Matrix Algorithm for Electrical Main Connection

International Conference on Applications and Techniques in Cyber Intelligence, 2021
Shiming Wang
semanticscholar   +1 more source

On the spectra and eigenspaces of the universal adjacency matrices of arbitrary lifts of graphs

Linear and Multilinear Algebra, 2023
Cristina Dalfo, Miquel Àngel Fiol
exaly  

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas

Expert systems with applications, 2017
F. Schimbinschi   +3 more
semanticscholar   +1 more source

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