Athanasios P. Kalogeras
16 Papers
Athanasios P. Kalogeras is an academic researcher. The author has contributed to research in topics: Computer science & Umami. The author has an hindex of 1, co-authored 6 publications.
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Papers
A survey on computational taste predictors
M. Malavolta,Lorenzo Pallante,Bojan Mavkov,Filip Stojceski,Gianvito Grasso,Aigli Korfiati,Seferina Mavroudi,Athanasios P. Kalogeras,Christos Alexakos,Vanessa M. Martos,Daria Amoroso,Giacomo Di Benedetto,Dario Piga,Konstantinos Theofilatos,Marco Agostino Deriu +14 more
TL;DR: A review of the latest advances in taste prediction, analyzing available food-related databases and taste prediction tools developed in recent years, can be found in this paper , where the authors discuss the importance of the taste perception process, its multidisciplinary nature, and the high number of potentially relevant players and features at the basis of taste sensation.
Complementary Use of Ground-Based Proximal Sensing and Airborne/Spaceborne Remote Sensing Techniques in Precision Agriculture: A Systematic Review
Angelos Alexopoulos,K. Koutras,Sihem Ben Ali,S. Puccio,Alessandro Carella,Roberta Ottaviano,Athanasios P. Kalogeras +6 more
TL;DR: This systematic review integrates ground-based proximal sensing and airborne/spaceborne remote sensing techniques to enhance agricultural productivity, efficiency, and sustainability through data fusion and analytics, facilitating the transition to Precision Agriculture and Agriculture 4.0.
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Blockchain in Agriculture: A PESTELS Analysis
TL;DR: BC appears to be a promising technology for agriculture introducing new mechanisms for tracing of products and overall agricultural Supply Chain management from the farm to the fork with a state of the art analysis along the PESTELS framework.
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CAVeCTIR: Matching Cyber Threat Intelligence Reports on Connected and Autonomous Vehicles Using Machine Learning
George Raptis,Christina Katsini,Christos Alexakos,Athanasios P. Kalogeras,Dimitrios Serpanos +4 more
TL;DR: In this paper , the authors present CAVeCTIR, a novel approach that finds similarities between CTI reports that describe malicious activities detected on connected and automated vehicles (CAVs) and provides a quick, automated, and effective solution for clustering similar malicious activities.
Digital Twins for Protecting Cultural Heritage Against Climate Change
Georgios Mylonas,Athanasios P. Kalogeras,George Pavlidis,Aris S. Lalos,A. Garcia-Lopez,Dimitrios Serpanos +5 more
TL;DR: Cyber-physical systems utilize cultural heritage digital twins and AI/ML algorithms to detect degradation and trigger actions, mitigating climate change's impact on cultural heritage sites and monuments, promoting preservation and conservation.
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