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Reliability-Aware VNF Provisioning in Homogeneous and Heterogeneous Multi-access Edge Computing
In the emerging network architecture of multi-access edge computing (MEC), virtualized network function (VNF) can be deployed to provide network...
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A non-interactive (t, n)-publicly verifiable multi-secret sharing scheme
A non-interactive publicly verifiable multi secret sharing (PVMSS) scheme is a secret sharing scheme that the dealer shares multiple secrets among...
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Hypergeometric structures in Feynman integrals
For the precision calculations in perturbative Quantum Chromodynamics (QCD) gigantic expressions (several GB in size) in terms of highly complicated...
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Natural Numbers, Mathematical Induction, Recursion
At the end of this chapter...
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Accelerating Bayesian inference for stochastic epidemic models using incidence data
We consider the case of performing Bayesian inference for stochastic epidemic compartment models, using incomplete time course data consisting of...
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Graph-based algorithms for phase-type distributions
Phase-type distributions model the time until absorption in continuous or discrete-time Markov chains on a finite state space. The multivariate...
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An Implementation of a Coarse-Fine Mesh Stabilized Schwarz Method for a Three-Space Dimensional PDE-Problem
When solving very large scale problems on parallel computer platforms, we consider the advantages of domain decomposition in strips or layers,...
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Pseudorandom sequences derived from automatic sequences
Many automatic sequences, such as the Thue-Morse sequence or the Rudin-Shapiro sequence, have some desirable features of pseudorandomness such as a...
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Construction of new generalizations of Wynn’s epsilon and rho algorithm by solving finite difference equations in the transformation order
We construct new sequence transformations based on Wynn’s epsilon and rho algorithms. The recursions of the new algorithms include the recursions of...
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Feature Extraction
Signal processes can be very complex and may contain a huge number of individual signals. This makes combinatorial computations for the determination...
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LR B-Splines for Representation of Terrain and Seabed: Data Fusion, Outliers, and Voids
Performing surface approximation of geospatial point clouds with locally refined (LR) B-splines comes with several challenges: (i) Point clouds have...
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Efficient and Systematic Partitioning of Large and Deep Neural Networks for Parallelization
Deep neural networks (DNNs) are playing an increasingly important role in our daily life. Since the size of DNNs is continuously growing up, it is...
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An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method
In this paper, we provide two new stable online algorithms for the problem of prediction in reinforcement learning, i.e., estimating the value...
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A new hybrid model of convolutional neural networks and hidden Markov chains for image classification
Convolutional neural networks (CNNs) have lately proven to be extremely effective in image recognition. Besides CNN, hidden Markov chains (HMCs) are...
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A strategic approach towards contrast enhancement by two-dimensional histogram equalization based on total variational decomposition
The histogram equalization technique used for image enhancement diminishes the number of pixel intensities resulting in loss of details and...
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Block Generator Matrices
In this chapter, we discuss techniques for solving equilibrium equations with block generator matrices. We study LU and UL decompositions of block...
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Efficient numerical methods for Cauchy principal value integrals with highly oscillatory integrands
This paper focus on the numerical evaluation of the Cauchy principal value integrals with oscillatory integrands
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Analysis of Linear Time Invariant and Time Varying Dynamic Systems via Taylor Series Using a New Recursive Algorithm
The paper presents a new recursive method using Taylor series to solve the states of time invariant as well as time varying control systems. In...