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Description
This volume gathers selected papers presented at the IC-MSQUARE 2024 - 13th International Conference on Mathematical Modeling in Physical Sciences held in Kalamata, Greece from September 30-October 3, 2024. This proceedings volume offers a compilation of cutting-edge research, which aims to advance the knowledge and development of high-quality research in mathematical fields related to physics, chemistry, biology, medicine, economics, environmental sciences, and more.
Annually held since 2012, the IC-MSQUARE conference serves as a platform for the exchange of ideas and discussions on the latest technological trends in these fields. This book is an invaluable resource for researchers, academicians, and professionals in these areas seeking to stay up-to-date with the latest developments in mathematical modeling.
Part 1. Topics in Mathematics and Mathematical Physics.- Asymptotic Analysis and Stability of Scalar Fields in the Conformally Compactified Kerr Spacetime.- UV and IR divergence-free computation of the vertex function in the t channel.- Derivations and automorphisms of algebras satisfying an identity of degree six.- Fourier Series Solution using GeoGebra applets.- The Application of Quantum Computing in Addressing Neurodivergence.- Coupled Lattice Boltzmann Method for non-Newtonian White-Metzner-type fluids: the evolution of the elastic pressure.- Three-soliton solutions of a fourth order nonlinear wave equation.- Resonance Phenomena Caused by A Trapezoidal Breakwater.- A rate-induced tipping in the Pearson diffusion.- Derivations and representations of a class of algebras satisfying an Osborn identity.- Derivations of algebras satisfying a polynomial identity of degree five.- Application of pair correlation algorithms for some problems of nonlinear optics.- Second-order linear model of vortex street.- Instability for one partial class of three-dimensional dynamic equilibrium states for the Vlasov-Maxwell plasma.- A weighting approach of the bivariate regression.- Trace forms and representations of evolution algebras.- Structure of algebras satisfying an -polynomial identity of degree five.- Applications of convergence acceleration methods to asynchronous iterations.- Modeling the Atom Motion in the Field of a Crystal Lattice.- Analytical Solution to a Constrained Optimization Prob- lem with Boundary and Equality Constraints.- Part 2. Machine learning, Complex systems and Complex Networks.- Enhanced Quantum Annealing TSP Solver (EQATS): Advancements in Solving the Traveling Salesman Problem Using D-Wave s Quantum Annealer.- Exploring the Correlation Between Attention Levels and Software Bugs: A Systematic Literature Review and Future Directions.- Nonlinear Modeling of Soil Indicators with Neural Neworks and Four Regression Factors.- Photonic Neural Networks: Integrating Optical Computing with Artificial Intelligence.- Restructurization of Region s Cooperation Networks in the Conditions of Global Challenges.- Dynamic Labelling of Financial Data.- Part 3. Medical applications, COVID-19 and Virus Spreading Mathematical Modeling.- The Human Y-Chromosome DNA Haplogroup of the Norman Kings of England and their Families.- Algorithm for the formation of informative symptom complexes in the comprehensive study of medical issues.- Development of radiotomography algorithms for analyzing the electron concentration field in the ionosphere.- The Mesopotamian Origins of Certain Scottish Families and their Migration Routes from Mesopotamia to Scotland via Scandinavia and Normandy using DNA Analysis.- Cancer Research and Proposition of a Novel Classification of the UK Ethnic Groups Using the Human Y-Chromosome DNA Haplogroups.- Potential of Low-Dimensionalized Texture Features for Diagnostic Support of Cardiomyopathy Using Endomyocardial Biopsy Specimens.- Predicting the effectiveness of low-activity radioiodine ablation for patients with differentiated thyroid carcinoma using Technetium-99m (99mTc) - Pertechnetate scintigraphy.- Construction of high-order non-standard finite-difference-methods for epidemiological models.- Analyzing the Impact of the Parameter Values on the Qualitative Behaviour of the Solutions of a Modified SIR Model with Vaccination and Several Levels of Immunity.- Hybrid Method for Automatic Epilepsy Seizure Detection Using a Recurrent Neural Network.- Part 4. Engineering applications.- Possibilities for honey quality assessment based on hyperspectral imaging.- Nonlinear digital models for prediction of honey type using spectral characteristics.- An Overview of ESP32 Microcontroller Application in Embedded Systems, Robotics and Internet of Things.- Integrating Innovative Methods and Technologies for Improved Classes in Computer Architectures.- Accurate Estimates of Drayage Dwell Times.- Determination
Dimitrios S. Vlachos is a Professor at the Department of Economics at the University of Peloponnese, Greece. He was Assistant and Associate Professor in the Department of Informatics and Telecommunications at the same University. He completed his PhD at the School of Electrical and Computer Engineering of the National Technical University of Athens and followed post-doctoral studies at the Institute of Nuclear Engineering of the "Demokritos" Research Center. He also held a research position at the Hellenic Center for Marine Research. His research interests are centered around the discrete variational theory, complex networks, evolutionary algorithms, physical modeling, econo-physics and the modern trends in fintech.
Dimitris Thomakos holds a BA from the Economics Department of the National and Kapodistrian University of Athens, Greece, and a PhD from Columbia University in New York, USA, specializing in theoretical and applied econometrics. Since 2005, Dr. Thomakos has been an associate professor at the Department of Economics, University of Peloponnese, and was promoted to full professor in July 2009. From 2013 to 2021, he served as Head of the Department of Economics at the University of Peloponnese. Currently, he holds the position of full professor at the Department of Business Administration, National and Kapodistrian University of Athens, since March 2021. His research interests include forecasting, time series analysis, quantitative investment strategies, and statistical inference in decision making.
