Titlebook: Computational Science – ICCS 2023; 23rd International C Ji?í Miky?ka,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed

Obscure

978-3-031-35994-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Migratory

Stamatina Th. Rassia,Panos M. Pardalossystems. It is widely believed that contact interactions among individual entities play an essential role in the spreading process. Although the contact interactions are often influenced by geometrical conditions, little attention has been paid to understand their effects especially on contact durat

THROB

Parley

Springer Optimization and Its Applicationsinimizing their negative effects is in our hands. The aim of the Intelligent Transportation System (ITS) proposed in this paper is to provide safer routes for emergency and rescue vehicles. This system must consider the information regarding the tsunami alert system and the road state combined with

heterodox

Stamatina Th. Rassia,Panos M. Pardalos introduce green infrastructures helping to improve air quality. To design new cities with more green infrastructures, the WRF-Chem model is used to analyze the evolution of the most common pollutants and their dispersion due to the meteorology of the moment. Most of the studies, however, are off an

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Takemi Sugiyama,Maike Neuhaus,Neville Owenferent activation functions, and different ways of enforcing the initial and boundary conditions. We show the convergence of the method and the resulting numerical accuracy for different setups. We show that, indeed, the PINN methodology can solve the problem efficiently and accurately the wave-equa

嫻熟

Ioannis Tzouvadakis,Athanassios Stamos However, this requires scalable data partitioning approaches to compute MFA representations in a reasonable amount of time. We propose a fully parallel and efficient method for computing MFA with B-spline bases without sacrificing the reconstructed solution accuracy or continuity. Our approach redu

OMIT

Sneha Bandyopadhyay,Subodh Kumar Maiti, identifying user popularity preferences are significant for personalized recommendations. Although many methods have analyzed user popularity preferences, most of them only consider particular types of popularity preferences, leading to inappropriate recommendations for users who have other popula

fatty-acids

Status of C&D Waste Recycling in India,er, we first give sharper excess risk bounds of DP stochastic gradient descent (SGD) method. Considering most of the previous methods are under convex conditions, we use Polyak-?ojasiewicz condition to relax it in this paper. Then, after observing that different training data instances affect the ma