Non-iterative explicit integration algorithms based on acceleration time history for nonlinear dynamic systems
Sign Up to like & getrecommendations! Published in 2019 at "Archive of Applied Mechanics"
DOI: 10.1007/s00419-019-01616-y
Abstract: A two-step explicit acceleration integration method (EAIM2) and a three-step explicit acceleration integration method (EAIM3), which are entirely explicit time integration algorithms, are proposed based on acceleration time history. The computation efforts and costs can… read more here.
Keywords: proposed methods; integration; acceleration; time ... See more keywords
Globally convergent three-term conjugate gradient projection methods for solving nonlinear monotone equations
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal of Mathematics"
DOI: 10.1007/s40065-018-0206-8
Abstract: In this paper, we propose two derivative-free conjugate gradient projection methods for systems of large-scale nonlinear monotone equations. The proposed methods are shown to satisfy the sufficient descent condition. Furthermore, the global convergence of the… read more here.
Keywords: monotone equations; proposed methods; gradient projection; nonlinear monotone ... See more keywords
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2906853
Abstract: Over the past few years, dictionary learning (DL)-based methods have been successfully used in various image reconstruction problems. However, the traditional DL-based computed tomography (CT) reconstruction methods are patch-based and ignore the consistency of pixels… read more here.
Keywords: reconstruction; coding compressed; proposed methods; sparse coding ... See more keywords
Minimax Optimal Bandits for Heavy Tail Rewards.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3203035
Abstract: Stochastic multiarmed bandits (stochastic MABs) are a problem of sequential decision-making with noisy rewards, where an agent sequentially chooses actions under unknown reward distributions to minimize cumulative regret. The majority of prior works on stochastic… read more here.
Keywords: regret; proposed methods; minimax optimal; exploration ... See more keywords
Weighted Joint Sentiment-Topic Model for Sentiment Analysis Compared to ALGA: Adaptive Lexicon Learning Using Genetic Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7612276
Abstract: Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to investigate the semantics among words in a document as well as the influence of a subject on a word. As an LDA-based… read more here.
Keywords: sentiment; topic; proposed methods; sentiment topic ... See more keywords
Modified prism methods for measuring the refractive index of solid and liquid substances
Sign Up to like & getrecommendations! Published in 2023 at "Computer Optics"
DOI: 10.18287/2412-6179-co-1230
Abstract: Methods for measuring the refractive index of optically transparent dielectric materials are considered. Modified methods based on the methods of minimum deviation and constant deviation are proposed and allow determining the refractive index of triangular… read more here.
Keywords: measuring refractive; proposed methods; refractive index; prism ... See more keywords
Computer tools for the construction and analysis of some efficient root-finding simultaneous methods
Sign Up to like & getrecommendations! Published in 2020 at "Filomat"
DOI: 10.2298/fil2007151p
Abstract: Using the tools provided by computer algebra system Mathematica, we consider two iterative methods of high efficiency for the simultaneous approximation of simple or multiple (real or complex) zeros of algebraic polynomials. The proposed methods… read more here.
Keywords: computer tools; simultaneous methods; convergence; order ... See more keywords
Estimation of Distribution Algorithms with Fuzzy Sampling for Stochastic Programming Problems
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10196937
Abstract: Generating practical methods for simulation-based optimization has attracted a great deal of attention recently. In this paper, the estimation of distribution algorithms are used to solve nonlinear continuous optimization problems that contain noise. One common… read more here.
Keywords: stochastic programming; proposed methods; estimation distribution; programming problems ... See more keywords
Discrete and Fuzzy Models of Time Series in the Tasks of Forecasting and Diagnostics
Sign Up to like & getrecommendations! Published in 2020 at "Axioms"
DOI: 10.3390/axioms9020049
Abstract: The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the… read more here.
Keywords: time series; proposed methods; fuzzy models; time ... See more keywords
Design and Complex Dynamics of Potra–Pták-Type Optimal Methods for Solving Nonlinear Equations and Its Applications
Sign Up to like & getrecommendations! Published in 2019 at "Mathematics"
DOI: 10.3390/math7100942
Abstract: In this paper, using the idea of weight functions on the Potra–Pták method, an optimal fourth order method, a non optimal sixth order method, and a family of optimal eighth order methods are proposed. These… read more here.
Keywords: design complex; dynamics potra; order; proposed methods ... See more keywords