Paper @EDUCON 2022

Citation: 2022 IEEE Global Engineering Education Conference (EDUCON), DOI: 10.1109/EDUCON52537.2022.9766555

URL: https://ieeexplore.ieee.org/document/9766555

Στις 11/5/2022, δημοσιεύθηκε το άρθρο “Internet of Things Meets Machine Learning: A Water Usage Alert Example” με συγγραφείς Dimitrios Loukatos; Lygkoura Kalliopi-Argyri; Stavroula Misthou; Konstantinos G. Arvanitis, το οποίο παρουσιάστηκε από την κα Λύγκουρα στο Διεθνές Συνέδριο EDUCON 2022, στην Τυνησία.

Στο paper αυτό, παρουσιάστηκε μια νέα έκδοση του NeroAlert με Machine Learning.

Abstract: The rapid growth of the electronics industry resulted in numerous, amazing and cheap devices, while fluent documentation and user-friendly programming environments are available for them. Modern educational systems worldwide have exploited this dynamic by including in their didactic curricula innovative practices that are usually called STEM actions. Added to this, enriching educational methods with real-world problem solving techniques increases students’ interest and prepares them for their future role in the society. Apparently, such challenging problems are not missing, with the depletion of natural resources to be one of the most intense ones. In this context, promising modern technological flavors like Internet of Things (IoT) and Machine Learning (ML) can join their potential to form educationally fruitful and also practically important activities targeted at increasing the social awareness for the water misuse problem, like the ones proposed herein. These activities also encourage the deployment of low-cost appliances that, only with minor modifications, can respond to a wide variety real problems in either urban or rural environments.

Ευχαριστώ τον Δρ. Λουκάτο για την ευκαιρία να συμμετάσχω στη συγγραφή του άρθρου.