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Mean Value Analysis of Critical Attack Paths with Multiple Parameters
Graphical models like attack trees and attack graphs provide promising approaches to represent and analyze complex cyber infrastructures. One common...
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Hybrid singular value decomposition based alpha trimmed mean-median filter in eliminating high density salt and pepper noise from grayscale image
The use of images has increased over the previous decade and they have the potential to be effective communication tools, similar to social media. In...
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Mixed reality in surgical telepresence: a novel extended mean value cloning with automatic trimap generation and accurate alpha matting for visualization
The aim of this research is to propose an extended mean value cloning algorithm with automatic trimap generation and accurate alpha matting. This...
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Fuzzy C-mean clustering technique based visual features fusion for automatic video summarization method
Video Summarization is one of the most important processes in multimedia applications. It is the process of taking a few segments of each scene to...
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Research on Target Value Assessment Method Based on Attention Mechanism
Under the condition of informatized joint combat system, the traditional target value analysis method based on human judgment is no longer able to...
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An image quality assessment method based on edge extraction and singular value for blurriness
The automatic assessment of perceived image quality is crucial in the field of image processing. To achieve this idea, we propose an image quality...
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An approach for combining MULTIMOORA method and Muirhead mean operators based on the complex Pythagorean fuzzy uncertain linguistic representation model
The MULTIMOORA is a relatively new multi-attribute decision-making (MADM) technique containing three major parts. It has partial and complete...
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A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models
Count data that are subject to both under and overdispersion at some hierarchical level cannot be readily accommodated by classic models such as...
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Mean based relief: An improved feature selection method based on ReliefF
Selection of relevant features is vitally important in machine learning tasks involving large datasets with numerous features. It helps in reducing...
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AdaHOSVD: an adaptive higher-order singular value decomposition method for point cloud denoising
Higher-Order Singular Value Decomposition ( HOSVD ) is an effective method for point cloud denoising, however how to preserve the global and local...
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An Hermite–Obreshkov method for 2nd-order linear initial-value problems for ODE
The numerical solution of initial-value problems (IVP) for ordinary differential equations (ODE) is at this time a mature subject, with many...
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Error-free and mean value based reversible data hiding using gravitational search algorithm in encrypted images
In recent years the data hiding on encrypted image is significant topic for data security. Due to its capability for preserving confidentiality,...
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An efficient extreme value moment method for estimating time-dependent profust failure probability
For some time-dependent structures, their failure states may be fuzzy rather than clear, leading to the so-called time-dependent profust reliability...
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An Overestimation Reduction Method Based on the Multi-step Weighted Double Estimation Using Value-Decomposition Multi-agent Reinforcement Learning
The joint action-value function (JAVF) plays a key role in the centralized training of multi-agent deep reinforcement learning (MADRL)-based...
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Shift-splitting fixed point iteration method for solving generalized absolute value equations
Using the shift-splitting strategy, we propose a shift-splitting fixed point iteration (FPI-SS) method for solving large sparse generalized absolute...
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Hop**-mean: an augmentation method for motor activity data towards real-time depression diagnosis using machine learning
The advances from the last few decades in the fields of ML (Machine Learning), DL (Deep Learning), and semantic computing are now changing the shape...
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On the maximal order of convergence of Green’s function method for solving two-point boundary value problems with deviating argument
The Green’s function method is applied to second, third, and fourth order two-point boundary value problems with deviating argument. At each...
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Geometric algebra based least-mean absolute third and least-mean mixed third-fourth adaptive filtering algorithms
With regards to the problem of multidimensional signal processing in the field of adaptive filtering, geometric algebra based higher-order statistics...
