Frontiers in Applied Mathematics and Statistics

Correction

Published on 01 Jul 2025

Corrigendum: Expectation-maximization alternating least squares for tensor network logistic regression

in Optimization

Naoya Yamauchi
Hidekata Hontani
Tatsuya Yokota

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1629658

176 views

Original Research

Accepted on 30 Jun 2025

A Sparse Tensor Generator with Efficient Feature Extraction

in Optimization

Tugba Torun
Ameer Taweel
Didem Unat

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1589033

111 views

Original Research

Published on 14 May 2025

Expectation-maximization alternating least squares for tensor network logistic regression

in Optimization

Naoya Yamauchi
Hidekata Hontani
Tatsuya Yokota

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1593680

968 views

Original Research

Published on 06 May 2025

Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD

in Optimization

Yuxuan Duan
Chen Ling
Jinjie Liu
Xinmin Yang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1587681

633 views

Original Research

Published on 29 Jan 2025

Numerical optimization of large-scale monotone equations using the free-derivative spectral conjugate gradient method

in Optimization

Ghulam Abbass
Nek Muhammad Katbar
Israr Ahmed Memon
Haibo Chen
Fikadu Tesgera Tolasa
Gemeda Tolessa Lubo

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2025.1477774

759 views

Original Research

Published on 12 Sep 2024

A DC programming to two-level hierarchical clustering with ℓ1 norm

in Optimization

Adugna Fita Gabissa
Legesse Lemecha Obsu

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1445390

1,603 views

Original Research

Published on 13 Aug 2024

A new Steiner symmetrization defined by a subclass of analytic function in a complex domain

in Optimization

Ibtehal Alazman
Rabha W. Ibrahim

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1385590

862 views

Original Research

Published on 22 Jul 2024

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales

in Optimization

Lara Kassab
Alona Kryshchenko
Hanbaek Lyu
Denali Molitor
Deanna Needell
Elizaveta Rebrova
Jiahong Yuan

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1287074

1,222 views

Original Research

Published on 17 Apr 2024

Random vector functional link networks for function approximation on manifolds

in Optimization

Deanna Needell
Aaron A. Nelson
Rayan Saab
Palina Salanevich
Olov Schavemaker

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1284706

1,733 views
6 citations

Original Research

Accepted on 18 Mar 2024

Optional Power Distribution for Individual Time Trial

in Optimization

Xinyu Kan
Run Yuan
Yan Zhao

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1348369

240 views

Methods

Published on 14 Feb 2024

Convergence analysis of particle swarm optimization algorithms for different constriction factors

in Optimization

Dereje Tarekegn Nigatu
Tekle Gemechu Dinka
Surafel Luleseged Tilahun

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1304268

10,381 views
5 citations

Original Research

Published on 26 Jan 2024

Evaluation of personal protective equipment to protect health and safety in pesticide use

in Optimization

Güler Aksüt
Tamer Eren

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1305367

12,637 views
4 citations

Original Research

Published on 05 Dec 2023

Directionally weakened diffusion for image segmentation using active contours

in Optimization

Zhitao Wang
Nana Li
Quan Zhang
Jin Wei
Lei Zhang
Yuanquan Wang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1275588

1,189 views

Original Research

Published on 04 Oct 2023

Image segmentation using active contours with image structure adaptive gradient vector flow external force

in Optimization

Dong Wang
Xing Dang
Weijing Liu
Yuanquan Wang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1271296

4,163 views
3 citations

Original Research

Published on 22 Sep 2023

Text classification in fair competition law violations using deep learning

in Optimization

Yinying Kong
Niangqiu Huang
Haodong Deng
Junwen Feng
Xingyi Liang
Weisi Lv
Jingyi Liu

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1177081

6,085 views
2 citations

Original Research

Published on 26 Jul 2023

A machine learning framework for neighbor generation in metaheuristic search

in Optimization

Defeng Liu
Vincent Perreault
Alain Hertz
Andrea Lodi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1128181

2,822 views
5 citations