|
|
|
|
|
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
In an epoch characterized by the swift pace of digitalization and urbanization, the essence of community well-being hinges on the efficacy of urban management. As cities burgeon and transform, the need for astute strategies to navigate the complexities o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thomais Gkrimpizi, Vassilios Peristeras and Ioannis Magnisalis
Digital transformation has emerged as a pervasive force in today?s rapidly evolving world, touching almost every sector and industry. In the higher education sector, in which education, research, and knowledge dissemination hold paramount significance fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
ver más
|
|
|
|
|
|
|
|
|
|
|
Polixeni Iliopoulou, Vassilios Krassanakis, Loukas-Moysis Misthos and Christina Theodoridi
Short-term house rentals constitute a growing component of tourist accommodation in several countries and the determination of factors affecting rents is an important consideration in relevant studies. Short-term rentals have shown increasing trends in t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thomas Kopalidis, Vassilios Solachidis, Nicholas Vretos and Petros Daras
Recent technological developments have enabled computers to identify and categorize facial expressions to determine a person?s emotional state in an image or a video. This process, called ?Facial Expression Recognition (FER)?, has become one of the most ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vassilios N. Grigoriadis, Vassilios D. Andritsanos and Dimitrios A. Natsiopoulos
Recent Digital Surface, Elevation, and Bathymetric Models (DSM/DEM/DBM) aim to provide high-resolution and accurate height and depth information needed for a variety of surveying, geodetic, geophysical, and other applications. In this study, first we aim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Merve Keskin, Vassilios Krassanakis and Arzu Çöltekin
This study investigates how expert and novice map users? attention is influenced by the map design characteristics of 2D web maps by building and sharing a framework to analyze large volumes of eye tracking data. Our goal is to respond to the following r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fahad M. Alotaibi and Vassilios G. Vassilakis
Web attacks pose a significant threat to enterprises, as attackers often target web applications first. Various solutions have been proposed to mitigate and reduce the severity of these threats, such as web application firewalls (WAFs). On the other hand...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anastasios Kaltsounis, Evangelos Spiliotis and Vassilios Assimakopoulos
We present a machine learning approach for applying (multiple) temporal aggregation in time series forecasting settings. The method utilizes a classification model that can be used to either select the most appropriate temporal aggregation level for prod...
ver más
|
|
|
|
|
|
|
|
|
|
|
Evangelos Spiliotis, Fotios Petropoulos and Vassilios Assimakopoulos
Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation, among others. Although the ...
ver más
|
|
|
|
|
|