Frontiers in Applied Mathematics and Statistics

Original Research

Published on 19 Oct 2021

Assessing and Modelling Tail Dependencies Between Service Times in Discrete Event Simulation With Minimum Information Copulas for a Better Understanding of Maximum Time in System Risk

Christoph Werner

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.641245

5,848 views

Original Research

Published on 14 Oct 2021

Mathematical Modeling of Zebrafish Social Behavior in Response to Acute Caffeine Administration

Mohammad Tuqan
Maurizio Porfiri

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.751351

7,427 views
5 citations

Original Research

Published on 14 Oct 2021

Effect of Dichotomization on the Latent Structure of Data

Karl Schweizer
Andreas Gold
Dorothea Krampen

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.723258

6,420 views

Original Research

Published on 12 Oct 2021

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.2021.697332

6,334 views
7 citations

Original Research

Published on 06 Oct 2021

Some New Solutions of Non Linear Evolution Equations With Mutable Coefficients

Jasvinder Singh Virdi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.631052

2,013 views
4 citations

Original Research

Published on 01 Oct 2021

A Model of Vaccination for Dengue in the Philippines 2016–2018

Pierre Magal
Ousmane Seydi
Glenn Webb
Yixiang Wu

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.760259

12,771 views
8 citations

Original Research

Published on 01 Oct 2021

How Does the Fusion of Sensory Information From Audition and Vision Impact Collective Behavior?

Subhradeep Roy
Jeremy Lemus

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.758711

3,672 views
6 citations

Original Research

Published on 01 Oct 2021

Cascades of Periodic Solutions in a Neural Circuit With Delays and Slow-Fast Dynamics

Andrea Ferrario
James Rankin

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.716288

3,940 views
1 citation

Hypothesis and Theory

Published on 24 Sep 2021

Cortex-Like Complex Systems: What Occurs Within?

Peter Grindrod
Christopher Lester

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.627236

3,637 views
8 citations

Original Research

Published on 07 Sep 2021

A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression

Michael Götte
Reinhold Schneider
Philipp Trunschke

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.702486

5,075 views
4 citations

Original Research

Published on 06 Sep 2021

Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction

Emilio Jose Rocha Coutinho
Marcelo Dall’Aqua
Eduardo Gildin

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.651178

7,196 views
31 citations

Editorial

Published on 03 Sep 2021

Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science

Olwijn Leeuwenburgh
Alexandre A. Emerick
Behnam Jafarpour
Dongxiao Zhang
Xiaodong Luo

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.756949

3,543 views
1 citation

Original Research

Published on 02 Sep 2021

Intensity Estimation for Poisson Process With Compositional Noise

Glenna Schluck
Wei Wu
Anuj Srivastava

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.648984

6,873 views
2 citations

Original Research

Published on 30 Aug 2021

A Function Approximation Approach to the Prediction of Blood Glucose Levels

H. N. Mhaskar
S. V. Pereverzyev
M. D. van der Walt

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.707884

4,927 views
3 citations

Methods

Published on 26 Aug 2021

AVA: A Financial Service Chatbot Based on Deep Bidirectional Transformers

Shi Yu
Yuxin Chen
Hussain Zaidi

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.604842

26,589 views
35 citations

Original Research

Published on 24 Aug 2021

An Optical Flow Based Left-Invariant Metric for Natural Gradient Descent in Affine Image Registration

Daniel Jacob Tward

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.718607

3,028 views
23 citations

Opinion

Published on 10 Aug 2021

Information Theory and Consciousness

Jürgen Jost

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.641239

11,665 views
4 citations

Editorial

Published on 09 Aug 2021

Editorial: Analytical and Numerical Methods for Differential Equations and Applications

Jesus Martin-Vaquero
Bruce Wade
Juan L. García Guirao
Feliz Minhós

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.712813

2,718 views
1 citation

Original Research

Published on 06 Aug 2021

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Yuhan Liu
Wen-Jun Li
Xiao Zhang
Maciej Lewenstein
Gang Su
Shi-Ju Ran

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.716044

9,469 views
25 citations

Editorial

Published on 04 Aug 2021

Editorial: Mathematical Models for Intertemporal Choice

Salvador Cruz Rambaud

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.743337

2,432 views

Original Research

Published on 02 Aug 2021

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

Yusuf Nasir
Jincong He
Chaoshun Hu
Shusei Tanaka
Kainan Wang
XianHuan Wen

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.689934

6,729 views
30 citations

Brief Research Report

Published on 02 Aug 2021

Using Machine Learning to Analyze Merger Activity

Tiffany Jiang

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.649501

10,594 views
8 citations

Original Research

Published on 29 Jul 2021

Entrainment Dynamics Organised by Global Manifolds in a Circadian Pacemaker Model

Jennifer L. Creaser
Casey O. Diekman
Kyle C. A. Wedgwood

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.703359

4,434 views
10 citations

Original Research

Published on 21 Jul 2021

Ensemble Transform Kalman Incremental Smoother and Its Application to Data Assimilation and Prediction

Zhe-Hui Lin
Shu-Chih Yang
Eugenia Kalnay

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2021.687743

3,708 views

90 Publications

volumes

Assessing and Modelling Tail Dependencies Between Service Times in Discrete Event Simulation With Minimum Information Copulas for a Better Understanding of Maximum Time in System Risk

Mathematical Modeling of Zebrafish Social Behavior in Response to Acute Caffeine Administration

Effect of Dichotomization on the Latent Structure of Data

Longitudinal Modulation of Marangoni Wave Patterns in Thin Film Heated From Below: Instabilities and Control

Some New Solutions of Non Linear Evolution Equations With Mutable Coefficients

A Model of Vaccination for Dengue in the Philippines 2016–2018

How Does the Fusion of Sensory Information From Audition and Vision Impact Collective Behavior?

Cascades of Periodic Solutions in a Neural Circuit With Delays and Slow-Fast Dynamics

Cortex-Like Complex Systems: What Occurs Within?

A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression

Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction

Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science

Intensity Estimation for Poisson Process With Compositional Noise

A Function Approximation Approach to the Prediction of Blood Glucose Levels

AVA: A Financial Service Chatbot Based on Deep Bidirectional Transformers

An Optical Flow Based Left-Invariant Metric for Natural Gradient Descent in Affine Image Registration

Information Theory and Consciousness

Editorial: Analytical and Numerical Methods for Differential Equations and Applications

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Editorial: Mathematical Models for Intertemporal Choice

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

Using Machine Learning to Analyze Merger Activity

Entrainment Dynamics Organised by Global Manifolds in a Circadian Pacemaker Model

Ensemble Transform Kalman Incremental Smoother and Its Application to Data Assimilation and Prediction