Frontiers in Applied Mathematics and Statistics

Original Research

Published on 11 Jul 2023

Study of the stability of a meshless generalized finite difference scheme applied to the wave equation

Gerardo Tinoco-Guerrero
Francisco Javier Domínguez-Mota
José Alberto Guzmán-Torres
Ricardo Román-Gutiérrez
José Gerardo Tinoco-Ruiz

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1214022

3,044 views
1 citation

Correction

Published on 10 Jul 2023

Corrigendum: Modified quantile regression for modeling the low birth weight

Ferra Yanuar
Hazmira Yozza
Aidinil Zetra

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1233135

2,219 views

Original Research

Published on 06 Jul 2023

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

Amish Mishra
Francis C. Motta

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1179301

8,948 views
6 citations

Brief Research Report

Published on 05 Jul 2023

How many strong earthquakes will there be tomorrow?

Matteo Taroni
Ilaria Spassiani
Nick Laskin
Simone Barani

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1152476

3,788 views
6 citations

Original Research

Published on 04 Jul 2023

Stochastic time-optimal control and sensitivity studies for additional food provided prey-predator systems involving Holling type-IV functional response

D. Bhanu Prakash
D. K. K. Vamsi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1122107

3,345 views
2 citations

Original Research

Published on 30 Jun 2023

Fusing time-varying mosquito data and continuous mosquito population dynamics models

Marina Mancuso
Kaitlyn M. Martinez
Carrie A. Manore
Fabio A. Milner
Martha Barnard
Humberto Godinez

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1207643

5,439 views
3 citations

Original Research

Published on 28 Jun 2023

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

Melanie Kircheis
Daniel Potts

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1155484

5,276 views
4 citations

Original Research

Published on 26 Jun 2023

The evolution of resource distribution, slow diffusion, and dispersal strategies in heterogeneous populations

Ishrat Zahan
Md. Kamrujjaman
Md. Abdul Alim
Md. Shahidul Islam
Taufiquar Khan

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1157992

4,508 views
2 citations

Correction

Published on 26 Jun 2023

Corrigendum: Longitudinal modulation of Marangoni wave patterns in thin film heated from below: instabilities and control

Anna Samoilova
Alexander Nepomnyashchy

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1229581

3,514 views

Original Research

Published on 23 Jun 2023

Bifurcation of solutions through a contact manifold in bidisperse models

Stefan Berres
Pablo Castañeda

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1199011

7,898 views

Original Research

Published on 22 Jun 2023

Solving the capacitated vehicle routing problem with time windows via graph convolutional network assisted tree search and quantum-inspired computing

Jorin Dornemann

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1155356

11,324 views
9 citations

Original Research

Published on 16 Jun 2023

Structure-preserving model reduction for port-Hamiltonian systems based on separable nonlinear approximation ansatzes

Philipp Schulze

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1160250

6,906 views
4 citations

Original Research

Published on 16 Jun 2023

Multipatch stochastic epidemic model for the dynamics of a tick-borne disease

Milliward Maliyoni
Holly D. Gaff
Keshlan S. Govinder
Faraimunashe Chirove

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1122410

6,474 views
6 citations

Perspective

Published on 15 Jun 2023

Invariant forms and control dimensional parameters in complexity quantification

Snezhana I. Abarzhi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1201043

5,480 views
2 citations

Original Research

Published on 14 Jun 2023

Testing the forecasting skills of aftershock models using a Bayesian framework

Elisa Dong
Robert Shcherbakov
Katsuichiro Goda

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1126511

6,465 views
2 citations

Original Research

Published on 13 Jun 2023

A lifted Bregman formulation for the inversion of deep neural networks

Xiaoyu Wang
Martin Benning

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1176850

5,775 views
1 citation

Editorial

Published on 13 Jun 2023

Editorial: Insights in mathematical biology 2022

Raluca Eftimie

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1197661

5,094 views

Original Research

Published on 08 Jun 2023

AI-enabled case detection model for infectious disease outbreaks in resource-limited settings

Chenjerai Sisimayi
Charis Harley
Farai Nyabadza
Maria Vivien Visaya

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1133349

8,524 views
3 citations

Original Research

Published on 08 Jun 2023

Stabilizing machine learning models with Age-Period-Cohort inputs for scoring and stress testing

Joseph L. Breeden
Yevgeniya Leonova

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1195810

8,484 views
4 citations

Original Research

Published on 05 Jun 2023

Bayesian synthetic likelihood for stochastic models with applications in mathematical finance

Ramona Maraia
Sebastian Springer
Teemu Härkönen
Martin Simon
Heikki Haario

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1187878

5,962 views
2 citations

Original Research

Published on 02 Jun 2023

MAD (about median) vs. quantile-based alternatives for classical standard deviation, skewness, and kurtosis

Eugene Pinsky
Sidney Klawansky

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1206537

9,072 views
12 citations

Original Research

Published on 01 Jun 2023

Mathematical modeling for the control of fly-borne mastitis disease in cattle

Moses Olayemi Adeyemi
Temitayo Olabisi Oluyo

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1171157

6,034 views
1 citation

Editorial

Published on 25 May 2023

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

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

6,586 views

Original Research

Published on 24 May 2023

A decision support system for the optimal allocation and distribution of COVID-19 vaccines using analytic hierarchy process (AHP) and integer programming (IP) model

Hannah Faye C. Culaste
Noe Jay D. Torres
Zython Paul T. Lachica
Honey Glenn P. Lorono
Ross Fievanni Inguillo
May Anne E. Mata
Rhoda A. Namoco

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2023.1140434

8,713 views
2 citations

160 Publications

volumes

Study of the stability of a meshless generalized finite difference scheme applied to the wave equation

Corrigendum: Modified quantile regression for modeling the low birth weight

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

How many strong earthquakes will there be tomorrow?

Stochastic time-optimal control and sensitivity studies for additional food provided prey-predator systems involving Holling type-IV functional response

Fusing time-varying mosquito data and continuous mosquito population dynamics models

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

The evolution of resource distribution, slow diffusion, and dispersal strategies in heterogeneous populations

Corrigendum: Longitudinal modulation of Marangoni wave patterns in thin film heated from below: instabilities and control

Bifurcation of solutions through a contact manifold in bidisperse models

Solving the capacitated vehicle routing problem with time windows via graph convolutional network assisted tree search and quantum-inspired computing

Structure-preserving model reduction for port-Hamiltonian systems based on separable nonlinear approximation ansatzes

Multipatch stochastic epidemic model for the dynamics of a tick-borne disease

Invariant forms and control dimensional parameters in complexity quantification

Testing the forecasting skills of aftershock models using a Bayesian framework

A lifted Bregman formulation for the inversion of deep neural networks

Editorial: Insights in mathematical biology 2022

AI-enabled case detection model for infectious disease outbreaks in resource-limited settings

Stabilizing machine learning models with Age-Period-Cohort inputs for scoring and stress testing

Bayesian synthetic likelihood for stochastic models with applications in mathematical finance

MAD (about median) vs. quantile-based alternatives for classical standard deviation, skewness, and kurtosis

Mathematical modeling for the control of fly-borne mastitis disease in cattle

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

A decision support system for the optimal allocation and distribution of COVID-19 vaccines using analytic hierarchy process (AHP) and integer programming (IP) model