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Construction of highly non linear component of block cipher based on mclaurin series and mellin transformation with application in image encryption
A substitution box (S-box) in data encryption is a non-linear tool that conducts substitution to assure the overall security of the system. S-box is...
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Non-linear Regression
In this chapter, we will refine the results of linear algorithms using nonlinear minimisation algorithms, such as LM. This is more computationally...
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Gradient-based explanation for non-linear non-parametric dimensionality reduction
Dimensionality reduction (DR) is a popular technique that shows great results to analyze high-dimensional data. Generally, DR is used to produce...
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Multiple image encryption approach using non linear chaotic map and cosine transformation
An efficient and secure image encryption method is always required while transmitting digital images through networks. The work presented in this...
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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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Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach
Deep neural networks, despite their capabilities, are constrained by the need for large-scale training data, and often fall short in generalisation...
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Non-linear statistical image watermark detector
Invisibility, robustness and payload are three indispensable and contradictory properties for any image watermarking systems. Recently, to achieve...
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Immersed boundary-conformal isogeometric LaTIn method for multiple non-linear interfaces
Computational micromechanics appears of the utmost importance, especially in the current context of digital twins in mechanics of materials. The...
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Non-linear Time Series Prediction using Improved CEEMDAN, SVD and LSTM
This study recommends a new time series forecasting model, namely ICEEMDAN - SVD - LSTM model, which coalesces Improved Complete Ensemble EMD with...
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POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration
This paper presents an efficient feature-based approach to initialize non-linear image registration. Today, nonlinear image registration is dominated...
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Non-linear integration of loss terms for improved new view synthesis
New view synthesis problem can be tackled through different approaches, depending on the availability of either single or multiple images as input to...
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Weakest Precondition Inference for Non-Deterministic Linear Array Programs
Precondition inference is an important problem with many applications. Existing precondition inference techniques for programs with arrays have...
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A survey of mean-square destabilization of multidimensional linear stochastic differential systems with non-normal drift
Mean-square stability analysis of linear stochastic differential systems obtained perturbing ordinary systems by linear terms driven by independent...
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Deep Non-linear and Unbiased Deep Decisive Pooling Learning–Based Opinion Mining of Customer Review
AbstractNowadays, opinion mining is becoming a trending research topic. The existing opinion mining detection schemes were used to determine the...
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Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants
The chemical production process is tedious due to the integration of different types of equipment and variables. Designing the controller is crucial...
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Succinct Non-Interactive Arguments via Linear Interactive Proofs
Succinct non-interactive arguments (SNARGs) enable verifying NP statements with lower complexity than required for classical NP verification....
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A joint network of non-linear graph attention and temporal attraction force for geo-sensory time series prediction
Geo-sensory time series, such as the air quality and water distribution, are collected from numerous sensors at different geospatial locations in the...
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TP Model Transformation
The chapter introduces the concept and the numerical reconstruction of the TP model transformation. The numerical reconstruction is derived based on...
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A Bilateral Assessment of Human Activities Using PSO-Based Feature Optimization and Non-linear Multi-task Least Squares Twin Support Vector Machine
Human activity recognition (HAR) is an essential part of many applications, including smart surroundings, sports analysis, and healthcare. Accurately...
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Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization
The Transformation-Interaction-Rational is a representation for symbolic regression that limits the search space of functions to the ratio of two...
