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Modelling a chain of command in the incident command system using sequential characteristic function games
Disaster response is a major challenge given the social and economic impact on the communities affected by disaster incidents. We investigate how coali...
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Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function
We employ a general Monte Carlo method to test composite hypotheses of goodness-of-fit for several popular multivariate models that can accommodate...
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The second-order zero differential spectra of almost perfect nonlinear functions and the inverse function in odd characteristic
In a prior paper (Boukerrou et al. IACR Trans. Symmetric Cryptol. 2020 (1), 331–362
2020 ), Boukerrou et al. introduced the Feistel Boomerang... -
Explaining Predictions by Characteristic Rules
Characteristic rules have been advocated for their ability to improve interpretability over discriminative rules within the area of rule learning....
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unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features
We introduce unORANIC, an unsupervised approach that uses an adapted loss function to drive the orthogonalization of anatomy and image-characteristic...
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Discovering Diverse Top-K Characteristic Lists
In this work, we define the new problem of finding diverse top-k characteristic lists to provide different statistically robust explanations of the...
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On the Characteristic Functions in Listing Stable Arguments
An abstract argumentation framework (af) is viewed as a directed graph such that graph vertices represent abstract arguments while graph edges denote...
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Uncertainty involved drag divergence characteristic predicting method based on VAE
Effective access to obtain the drag divergence characteristic of an airfoil is crucial for improving the economy, safety, and comfort of the...
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Surface-Based Computation of the Euler Characteristic in the BCC Grid
As opposed to the 3D cubic grid, the body-centered cubic (BCC) grid has some favorable topological properties: each set of voxels in the grid is a...
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Data-characteristic-aware Latent Feature Learning
Some state-of-the-art missing data predictors are primarily based on a latent feature learning (LFL)-based model [1–14]. They improved the basic LFL...
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Propagation properties of a non-linear map** based on squaring in odd characteristic
Many modern cryptographic primitives for hashing and (authenticated) encryption make use of constructions that are instantiated with an iterated...
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Access Networks Brownfield Investments Based on Characteristic Infrastructure Parameters Optimization
Fiber-wireless access networks can be considered as a competitive alternative or intermediate step to fiber-to-the-home solution. Techno-economic...
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Pupil center detection inspired by multi-task auxiliary learning characteristic
Robust and accurate pupil center detection is a prerequisite for eye-tracking system. In natural environments, due to rapid illumination...
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An effective premature ventricular contraction detection algorithm based on adaptive template matching and characteristic recognition
Traditional premature ventricular contraction (PVC) detection algorithms based on template matching use fixed templates which is sensitive to the...
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The second-order modified upwind PPM characteristic difference method and analysis for solving convection-diffusion equations
In this paper, the conservation characteristic difference method based on the second-order modified upwind scheme is analyzed for solving the...
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On the Capacity of Families of Characteristic Functions That Ensure Diagnostic Problems Are Solved Correctly
AbstractThe capabilities and tools for quality evaluation of the results of intelligent data analysis (IDA) in problems of a diagnostic type are...
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Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery
In Alzheimer’s Disease (AD), interpreting tissue changes is key to discovering disease characteristics. However, AD-induced brain atrophy can be...
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A variational regularization method for solving the non-characteristic Cauchy problem in multiple dimensions
In this manuscript, we consider the non-characteristic Cauchy problem, which is naturally a general form including inverse heat conduction problem...
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Frequency-domain characteristic analysis of PCNN
The pulse-coupled neural network (PCNN) is widely used in digital image processing. Although existing studies mainly analyze the network from the...
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The EE Function-Construction Theory
The EE function-construction theory or TAO theory (T-theory) is a theory about the way subjects (people) perceive the things that surround them. TAO...