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   Articles with "term time" as a keyword



Legendre multiwavelet functions for numerical solution of multi-term time-space convection–diffusion equations of fractional order

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recommendations! Published in 2019 at "Engineering with Computers"

DOI: 10.1007/s00366-019-00896-w

Abstract: In this study, the Ritz–Galerkin method based on Legendre multiwavelet functions is introduced to solve multi-term time-space convection–diffusion equations of fractional order with variable coefficients and initial-boundary conditions. This method reduces the problem to a… read more here.

Keywords: time space; space convection; term time; multiwavelet functions ... See more keywords

Mixed finite-element method for multi-term time-fractional diffusion and diffusion-wave equations

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recommendations! Published in 2018 at "Computational and Applied Mathematics"

DOI: 10.1007/s40314-017-0447-8

Abstract: In this paper, numerical theory based on the mixed finite-element method and finite difference analog of the Caputo fractional derivative for multi-term time-fractional diffusion equations and diffusion-wave equations is analyzed. The unconditional stability and convergence… read more here.

Keywords: finite element; diffusion; mixed finite; element method ... See more keywords

Short-term instead of long-term rainfall time series in rainwater harvesting simulation in houses: An assessment using Bayesian Network

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recommendations! Published in 2019 at "Resources, Conservation and Recycling"

DOI: 10.1016/j.resconrec.2019.01.017

Abstract: Abstract Rainwater harvesting simulations usually take long-term rainfall data as input to size system components. However, long-term time series data are not available in many cities around the world. This article aims to investigate the… read more here.

Keywords: long term; term time; term; time series ... See more keywords

LTScoder: Long-Term Time Series Forecasting Based on a Linear Autoencoder Architecture

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3428479

Abstract: A long-term time series forecasting (LTSF) model named LTScoder based on a linear autoencoder architecture is presented in this paper. LTScoder performs feature extraction through an encoder to generate a latent vector and conducts time… read more here.

Keywords: ltscoder; time; long term; term time ... See more keywords

Kalman-SSM: Modeling Long-Term Time Series With Kalman Filter Structured State Spaces

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recommendations! Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3457862

Abstract: In the field of time series forecasting, time series are often considered as linear time-varying systems, which facilitates the analysis and modeling of time series from a structural state perspective. Due to the non-stationary nature… read more here.

Keywords: time; long term; series; term time ... See more keywords

Some applications and maximum principles for multi-term time-space fractional parabolic Monge-Ampère equation

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recommendations! Published in 2024 at "Demonstratio Mathematica"

DOI: 10.1515/dema-2024-0031

Abstract: Abstract This study first establishes several maximum and minimum principles involving the nonlocal Monge-Ampère operator and the multi-term time-space fractional Caputo-Fabrizio derivative. Based on the maximum principle established above, on the one hand, we show… read more here.

Keywords: multi term; time space; monge amp; term time ... See more keywords

Analytical solutions for multi-term time-space fractional partial differential equations with nonlocal damping terms

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recommendations! Published in 2018 at "Fractional Calculus and Applied Analysis"

DOI: 10.1515/fca-2018-0019

Abstract: Abstract In this paper, we consider the analytical solutions of multi-term time-space fractional partial differential equations with nonlocal damping terms for general mixed Robin boundary conditions on a finite domain. Firstly, method of reduction to… read more here.

Keywords: analytical solutions; multi term; differential equations; term time ... See more keywords

Spatiotemporal Transformer Neural Network for Time-Series Forecasting

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recommendations! Published in 2022 at "Entropy"

DOI: 10.3390/e24111651

Abstract: Predicting high-dimensional short-term time-series is a difficult task due to the lack of sufficient information and the curse of dimensionality. To overcome these problems, this study proposes a novel spatiotemporal transformer neural network (STNN) for… read more here.

Keywords: information; time; time series; term time ... See more keywords

Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation

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recommendations! Published in 2025 at "Symmetry"

DOI: 10.3390/sym17040554

Abstract: In this paper, the inverse problem of identifying the source term of the time fractional diffusion-wave equation is studied. This problem is ill-posed, i.e., the solution (if it exists) does not depend on the measurable… read more here.

Keywords: regularization; term time; regularization method; identifying source ... See more keywords