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In this paper we present high-order accurate finite difference approximations for solving the generalized modified Benjamin–Bona–Mahony (BBM) equation, a non-linear soliton model. The spatial discretization uses high-order accurate summation-by-...

• Stable approximations of the generalized modified BBM equation are derived.
• An implicit SBP-SAT temporal discretization is derived.
• The SBP-SAT temporal discretization, as compared to RK4, is much more efficient.
• SBP-Projection ...

Barycentric rational interpolation collocation method (BRICM) is presented to solve 3-dimensional convection–diffusion (CD) equation. The unknown value is approximated by barycentric rational interpolation basis, the discrete CD equation is ...

Due to the scarcity of data labels, unsupervised feature selection has received a lot of attention in recent years. While many unsupervised feature selection methods are capable of selecting relevant features, they often fail to comprehensively ...

• A novel method named MUNFS is proposed to remove irrelevant and redundant features.
• MUNFS solves the imbalance between local and global structure retention of data.
• MUNFS solves the issue of inadequate treatment of data nonlinear ...

The present paper aims to develop a stable multistep numerical scheme for the non-linear generalized time-fractional diffusion equations (GTFDEs) with non-smooth solutions. Mesh grading technique is used to discretize the temporal direction, ...

Greedy-GQ with linear function approximation, originally proposed in Maei et al. (in: Proceedings of the international conference on machine learning (ICML), 2010), is a value-based off-policy algorithm for optimal control in reinforcement ...$\mathcal{}\mathrm{}\sqrt{}$$\mathcal{}\sqrt{}$$\mathcal{}\mathrm{}{}^{\mathrm{}}$

An RNA virus, SARS-CoV-2 is capable of mutation, and vaccines developed to combat its earlier strains are comparatively less effective against its new emerging variants of concern. Therefore, it is proposed to formulate a two-strain COVID-19 ...

• A two-strain model incorporating an imperfect and leaky vaccination is constructed.
• The study analyzes the effect of various control parameters on the reproduction number.
• Data fitting depicts that the Omicron variant has become ...

The main objective of this study is to formulate and solve the model of non-linear fixed-charge transportation problem (NFCTP), which is one of the NP-hard problems. This type of problem is challenging to solve using conventional ...

• A non-linear programming model for fixed-charge transportation problem is developed.

Regression analysis is intended to assist investors in identifying practical trends from historical data that aid in the formulation of their investment decisions. Stock market prediction is a technique for estimating future stock and other ...

This paper aims to investigate whether increasing non-linear opportunities in a neural network-based scheduling model improves its predictive performance. More specifically, this paper experiments on a trip distribution model that is part of an ...

The effect of ICT use on students’ academic achievement continues to be debated. While positive, negative, and non-significant linear relationships have been reported in the literature, few studies have examined the non-linear ...

• ICT use at school was linearly, negatively associated with academic achievement.

Spectrum sharing (SS) and energy harvesting (EH) basically improve spectrum-and-energy efficiencies required by modern communications systems. Nonetheless, most publications have focused on the linear (L) EH model which did not characterize ...

Data-like interference mitigation in wireless communications systems, and in mobile cellular networks in particular, has always been a challenging problem which is becoming even more so for 5G networks and beyond including the Internet ...

Timely detection of cardiac abnormalities from an Electrocardiogram (ECG) signal is very essential. This requires its appropriate and efficient processing. In the literature, most of the researchers focussed on linear techniques that were applied ...

We present in this paper a computationally efficient and biologically plausible classifier WOLIF, using Grey Wolf Optimizer (GWO) tuned error function obtained from Leaky-Integrate-and-Fire (LIF) spiking neuron. Unlike traditional artificial ...

• A closed-form expression of the SINR at the output of a family of third-order Volterra MVDR beamformers is given.

Linear beamformers are optimal, in a mean square (MS) sense, when the signal of interest (SOI) and observations are jointly Gaussian and circular. Otherwise, optimal beamformers become non-linear with a structure depending on the ...

The graph Laplacian approximation of the Laplace–Beltrami operator on the Riemann manifold requires estimation of the kernel width and the neighborhood which is usually obtained through cross-validation. In this work, we propose a ...

• Tap the potential of aligned tangent space to find optimal neighborhood.
• Define ...

Non-linear mixed effects models (NLMEM) are frequently used in drug development for pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) analyses. Parameter estimation for these models can be time-consuming due to the need for ...

The non-linear switching mechanism of chalcogenide based Ovonic threshold switches (OTS) is developed. It requires a specific electronic structure, with a wide tail of localised states below the conduction band edge. A band structure ...

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• Non-linear conduction model.
• Designed band structure for high mobility and non-...

Point-of-interest (POI) prediction is a key task in location-based social networks. It captures the user preference to predict POIs. Recent studies demonstrate that spatial influence is significant for prediction. The distance can be converted to ...

Efficient analytical sensitivity computations are essential elements of gradient-based optimization schemes; unfortunately, they can be difficult to implement. This implementation issue is often resolved by adopting the semi-analytical method which ...