E-raamat: Mathematical Modeling in Physical Sciences: 13th IC-MSQUARE, Kalamata, Greece, September 30-October 3, 2024

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-Waves 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
Regions 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 of residual life of a diesel
assembly rail service car.- Energy Savings and Optimal Heat Recovery of Non-
Steady State Processes through Innovative Heat Exchanger Network Design in
Greenhouses.- Study of the properties and application of LIDAR technology for
detection unmanned aerial vehicles (UAVs).

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.