Mathematical Approaches to Challenges in Biology and Biomedicine: ICMASC 2024, Porto, Portugal, June 20–22

Author:   Martin Golubitsky ,  Stefano Boccaletti ,  Carla M.A. Pinto
Publisher:   Springer International Publishing AG
Volume:   507
ISBN:  

9783031979491


Pages:   357
Publication Date:   07 January 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Mathematical Approaches to Challenges in Biology and Biomedicine: ICMASC 2024, Porto, Portugal, June 20–22


Overview

This book collects selected, peer-reviewed works presented at the International Conference on Mathematical Analysis and Applications in Science and Engineering (ICMASC), which took place at the University of Porto, Portugal, in hybrid mode on June 20–22, 2024. This book covers advancements in mathematical analysis and modeling, with an emphasis on mathematical biology. It addresses topics such as partial and ordinary differential equations, integer and fractional order equations, linear algebra, numerical analysis, operations research, discrete mathematics, optimization, control, probability, and computational mathematics, to name a few. Applications range from tumor and tissue properties, infection spatial models, cancer immunotherapy, and others. The conference was dedicated to Professor J. A. Tenreiro Machado, who unexpectedly passed away in October 2021. Prof. Tenreiro was a Professor at the Polytechnic Institute of Porto, where he served as the Dean of the Institute. Additionally, he held a visiting position at the Lodz Institute of Technology, Poland, for many years. Prof. Tenreiro Machado authored 1,160 publications, including 11 books.

Full Product Details

Author:   Martin Golubitsky ,  Stefano Boccaletti ,  Carla M.A. Pinto
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   507
ISBN:  

9783031979491


ISBN 10:   3031979494
Pages:   357
Publication Date:   07 January 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

A Trust Region Algorithm For Identification Of BMI Related Fat Tissue Properties.- Immersive Visualization Of A 3D Model Of Tumor-Immune Dynamics.- Inverse Problem Formulation In Cancer Immunotherapy Using Physics Informed Neural Networks And Data Driven Parameter Estimation.- Will The Catalan Language Disappear? An Analysis Via Mathematical Modeling.- Regulatory Networks With Varying Interactions.- Decomposing The Mutual Information Rate Of Physiological Time Series To Assess Higher Order Cardiovascular And Respiratory Interactions During Postural Stress.- Uncertainty Study In A 0 D SCR Model For Nox Emissions.- Methods For Data Disaggregation: Application To COVID-19 Spatial Models In Portugal.- Modeling Social Media Growth Using An Extension Of The Random Classical Logistic Equation.- Portuguese Service Electricity Continuity Indicators: Quality Service Evaluation.- A Leibniz Integral Rule For Random Lebesgue Calculus.- Extension Of A Fractional Model Identification Method For Fractional Dual Pole Plus Dead Time Models.- Basic Problems In The Theory Of Pseudo Differential Equations.- Two New Rheological Models And Two Rheological Dynamical Systems Fractional Type.- Probabilistic Analysis Of A Class Of Stochastic Differential Equations With Cross Nonlinearity Via The Equivalent Linearization Technique.- Statistical Tools For Frequency Response Functions From Posture Control Experiments: Estimation Of Probability Of A Sample And Comparison Between Groups Of Unpaired Samples.- Stability Analysis And Optimal Control Of The Logistic Equation.- Some Results For Equilibrium Problems.- A Leibniz integral rule for random Lebesgue calculus.

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Author Information

Martin Golubitsky is an Emeritus, Distinguished Professor at the Ohio State University, USA. Stefano Boccaletti is a Senior Researcher at the Institute of Complex Systems in Florence, Italy. Carla M. A. Pinto is a Coordinating Professor at the School of Engineering, Polytechnic Institute of Porto, Portugal.

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