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

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

4,179 views
1 citation

Original Research

Published on 06 Jul 2023

Stability and machine learning applications of persistent homology using the Delaunay-Rips complex

in Mathematics of Computation and Data Science

Amish Mishra
Francis C. Motta

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1179301

5,054 views
1 citation

Original Research

Published on 28 Jun 2023

Fast and direct inversion methods for the multivariate nonequispaced fast Fourier transform

in Mathematics of Computation and Data Science

Melanie Kircheis
Daniel Potts

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1155484

3,999 views
1 citation

Original Research

Published on 13 Jun 2023

A lifted Bregman formulation for the inversion of deep neural networks

in Mathematics of Computation and Data Science

Xiaoyu Wang
Martin Benning

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1176850

5,209 views
1 citation

Editorial

Published on 25 May 2023

Editorial: Advances in data-driven approaches and modeling of complex systems

in Mathematics of Computation and Data Science

Mohd Hafiz Mohd
Tri Nguyen-Huu
Junpyo Park
Joel M. Addawe
Hirohide Haga

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1215077

5,927 views

Mini Review

Published on 12 May 2023

Data augmentation using generative adversarial networks for images and biomarkers in medicine and neuroscience

in Mathematics of Computation and Data Science

Maizan Syamimi Meor Yahaya
Jason Teo

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1162760

9,740 views
11 citations

Original Research

Published on 17 Apr 2023

The soft computing FFNN method for adjusting heteroscedasticity on the time series model of currency exchange rate

in Mathematics of Computation and Data Science

Dodi Devianto
Mutia Yollanda
Maiyastri Maiyastri
Ferra Yanuar

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1045218

1,619 views
5 citations

Original Research

Published on 31 Mar 2023

Toward AI-designed innovation diffusion policies using agent-based simulations and reinforcement learning: The case of digital tool adoption in agriculture

in Mathematics of Computation and Data Science

Meritxell Vinyals
Regis Sabbadin
Stéphane Couture
Loïc Sadou
Rallou Thomopoulos
Kevin Chapuis
Baptiste Lesquoy
Patrick Taillandier

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1000785

2,975 views
2 citations

Methods

Published on 17 Mar 2023

Unsupervised vessel trajectory reconstruction

in Mathematics of Computation and Data Science

Chih-Wei Chen
Hsin-Hsiung Huang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1124091

3,490 views
2 citations

Methods

Published on 08 Mar 2023

GPMatch: A Bayesian causal inference approach using Gaussian process covariance function as a matching tool

in Mathematics of Computation and Data Science

Bin Huang
Chen Chen
Jinzhong Liu
Siva Sivaganisan

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1122114

5,579 views
4 citations

Original Research

Published on 28 Feb 2023

Vaccination and variants: A COVID-19 multi-strain model evolution for the Philippines

in Mathematics of Computation and Data Science

Harren J. Campos
Michelle N. Raza
Jayrold P. Arcede
Joey Genevieve T. Martinez
Randy L. Caga-anan

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1029018

4,442 views
2 citations

Original Research

Published on 15 Feb 2023

Mathematical modeling and simulation of SEIR model for COVID-19 outbreak: A case study of Trivandrum

in Mathematics of Computation and Data Science

Aakash M
Gunasundari C
Qasem M. Al-Mdallal

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1124897

12,273 views
15 citations

Original Research

Published on 25 Jan 2023

Early childhood learning analytics: A case study of Learning Jungle

in Mathematics of Computation and Data Science

Rui Liang
Hongmei Zhu
Grant Lawson
Zhao Lian
Yuqi Huang
Shengyuan Chen

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2022.1075653

4,863 views

Original Research

Published on 06 Jan 2023

Reduction of uncertainty using adaptive modeling under stochastic criteria of information content

in Mathematics of Computation and Data Science

Dmitry Anatolyevich Garanin
Nikita Sergeevich Lukashevich
Sergey Vladimirovich Efimenko
Igor Georgievich Chernorutsky
Sergey Evgenievich Barykin
Ruben Kazaryan
Vasilii Buniak
Alexander Parfenov

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2022.1092156

1,517 views
3 citations

Original Research

Published on 05 Dec 2022

The hybrid model of autoregressive integrated moving average and fuzzy time series Markov chain on long-memory data

in Mathematics of Computation and Data Science

Dodi Devianto
Kiki Ramadani
Maiyastri
Yudiantri Asdi
Mutia Yollanda

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2022.1045241

5,609 views
7 citations

Original Research

Published on 01 Dec 2022

Unearned premium risk and machine learning techniques

in Mathematics of Computation and Data Science

Vajira Manathunga
Danlei Zhu

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2022.1056529

7,332 views
3 citations