no code implementations • 30 Apr 2024 • Konstantinos Pasvantis, Eftychios Protopapadakis
The application of deep learning models in medical diagnosis has showcased considerable efficacy in recent years.
no code implementations • 23 Apr 2024 • Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis
The scarcity of green spaces, in urban environments, consists a critical challenge.
no code implementations • 2 Mar 2023 • Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
Recent studies indicate that deep learning plays a crucial role in the automated visual inspection of road infrastructures.
no code implementations • 20 Sep 2022 • Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis
Diabetic foot ulcers (DFUs) constitute a serious complication for people with diabetes.
no code implementations • 25 Jul 2022 • Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli
In this paper, we investigate the transferability limitations when using deep learning models, for semantic segmentation of pneumonia-infected areas in CT images.
no code implementations • 5 Jul 2022 • Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components.
1 code implementation • 24 May 2022 • Iason Katsamenis, Eleni Eirini Karolou, Agapi Davradou, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Dimitris Kalogeras
In this work, the YOLOv5 algorithm is employed, in order to find a solution for the efficient and fast detection of traffic cones.
no code implementations • 4 May 2022 • Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli
Recent studies indicate that detecting radiographic patterns on CT scans can yield high sensitivity and specificity for Covid-19 localization.
no code implementations • 2 Jul 2021 • Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis
In the context of this paper, we detect the level of decomposition and corrosion on the walls of Saint Nicholas fort in Rhodes utilizing hyperspectral images.
no code implementations • 25 Jun 2021 • Ioannis Kavouras, Eftychios Protopapadakis, Maria Kaselimia, Emmanuel Sardis, Nikolaos Doulamis
In this work we investigate the short-term variations in air quality emissions, attributed to the prevention measures, applied in different cities, to mitigate the COVID-19 spread.
no code implementations • 26 Nov 2020 • Eftychios Protopapadakis, Anastasia Garbi, Anna Malamou, Maria Kaselimi, Zisis Pontikas, Anastasios Doulamis, Nikolaos Doulamis, Kostas Vasilakis, Nassos Michas, Emmanouel Alexakis
In this paper we provide an analytical methodology to handle such scenarios and create year-long hourly-based consumption baseline.
no code implementations • 12 Aug 2020 • Iason Katsamenis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
Corrosion detection on metal constructions is a major challenge in civil engineering for quick, safe and effective inspection.
no code implementations • 30 May 2020 • Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Evangelos Maltezos
A combinatory approach of two well-known fields: deep learning and semi supervised learning is presented, to tackle the land cover identification problem.
no code implementations • 29 Jun 2016 • Eftychios Protopapadakis
Semi-supervised learning (SSL) is a class of supervised learning tasks and techniques that also exploits the unlabeled data for training.