Frontiers in Applied Mathematics and Statistics | Mathematics of Computation and Data Science

Original Research

Published on 17 Jan 2025

Exploring a novel approach for computing topological descriptors of graphene structure using neighborhood multiple M-polynomial

in Mathematics of Computation and Data Science

Tumiso Kekana
Kazeem Olalekan Aremu
Maggie Aphane

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1508134

Original Research

Published on 11 Dec 2024

Dynamic ensemble-based machine learning models for predicting pest populations

in Mathematics of Computation and Data Science

Ankit Kumar Singh
Md Yeasin
Ranjit Kumar Paul
A. K. Paul
Anita Sarkar

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1435517

339 views

Original Research

Published on 20 Nov 2024

Solution analysis for non-linear fractional differential equations

in Mathematics of Computation and Data Science

Shiferaw Geremew Kebede
Assia Guezane Lakoud
Haider Ebrahim Yesuf

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1499179

437 views

Original Research

Published on 02 Oct 2024

Empirical validation of the use of projective techniques in psychological testing using Galois fields

in Mathematics of Computation and Data Science

Ibragim Suleimenov
Mariya Kostsova
Anastasiya Grishina
Dinara Matrassulova
Yelizaveta Vitulyova

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1455500

454 views

Original Research

Published on 15 Apr 2024

The application of propensity score methods in observational studies

in Mathematics of Computation and Data Science

Yuejuan Zhao

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1384217

740 views

Original Research

Published on 04 Apr 2024

Persistence-based clustering with outlier-removing filtration

in Mathematics of Computation and Data Science

Alexandre Bois
Brian Tervil
Laurent Oudre

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1260828

1,237 views
1 citation

Original Research

Published on 02 Apr 2024

Computing formation enthalpies through an explainable machine learning method: the case of lanthanide orthophosphates solid solutions

in Mathematics of Computation and Data Science

Edoardo Di Napoli
Xinzhe Wu
Thomas Bornhake
Piotr M. Kowalski

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1355726

782 views
1 citation

Original Research

Published on 13 Feb 2024

Comparative analysis of machine learning algorithms for predicting Dubai property prices

in Mathematics of Computation and Data Science

Abdulsalam Elnaeem Balila
Ani Bin Shabri

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1327376

10,221 views

Original Research

Published on 12 Dec 2023

Real block-circulant matrices and DCT-DST algorithm for transformer neural network

in Mathematics of Computation and Data Science

Euis Asriani
Intan Muchtadi-Alamsyah
Ayu Purwarianti

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1260187

2,972 views
2 citations

Original Research

Published on 11 Dec 2023

Algorithm unfolding for block-sparse and MMV problems with reduced training overhead

in Mathematics of Computation and Data Science

Jan Christian Hauffen
Peter Jung
Nicole Mücke

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1205959

2,581 views

Original Research

Published on 08 Dec 2023

Phase characteristics of vocal tract filter can distinguish speakers

in Mathematics of Computation and Data Science

Masahiro Okada
Hiroshi Ito

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1274846

1,170 views

Original Research

Published on 17 Nov 2023

On the methodological framework of composite index under complex surveys and its application in development of food consumption index for India

in Mathematics of Computation and Data Science

Deepak Singh
Pradip Basak
Raju Kumar
Tauqueer Ahmad

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1274530

1,997 views

Original Research

Published on 19 Oct 2023

Chi-square test for imprecise data in consistency table

in Mathematics of Computation and Data Science

Muhammad Aslam
Florentin Smarandache

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1279638

5,076 views
3 citations

Original Research

Published on 14 Sep 2023

Lagrangian motion magnification with double sparse optical flow decomposition

in Mathematics of Computation and Data Science

Philipp Flotho
Cosmas Heiss
Gabriele Steidl
Daniel J. Strauss

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1164491

6,345 views
5 citations

Original Research

Published on 24 Aug 2023

Lp-Sampling recovery for non-compact subclasses of L∞

in Mathematics of Computation and Data Science

Glenn Byrenheid
Serhii Stasyuk
Tino Ullrich

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1216331

2,610 views

Original Research

Published on 03 Aug 2023

A combination of physics-informed neural networks with the fixed-stress splitting iteration for solving Biot's model

in Mathematics of Computation and Data Science

Mingchao Cai
Huipeng Gu
Pengxiang Hong
Jingzhi Li

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1206500

3,951 views

Navigation group

Articles

Exploring a novel approach for computing topological descriptors of graphene structure using neighborhood multiple M-polynomial

Dynamic ensemble-based machine learning models for predicting pest populations

Solution analysis for non-linear fractional differential equations

Empirical validation of the use of projective techniques in psychological testing using Galois fields

The application of propensity score methods in observational studies

Persistence-based clustering with outlier-removing filtration

Computing formation enthalpies through an explainable machine learning method: the case of lanthanide orthophosphates solid solutions

Comparative analysis of machine learning algorithms for predicting Dubai property prices

Real block-circulant matrices and DCT-DST algorithm for transformer neural network

Algorithm unfolding for block-sparse and MMV problems with reduced training overhead

Phase characteristics of vocal tract filter can distinguish speakers

On the methodological framework of composite index under complex surveys and its application in development of food consumption index for India

Chi-square test for imprecise data in consistency table

Lagrangian motion magnification with double sparse optical flow decomposition

Lp-Sampling recovery for non-compact subclasses of L∞

A combination of physics-informed neural networks with the fixed-stress splitting iteration for solving Biot's model