Zobrazeno 1 - 10
of 892
pro vyhledávání: '"Dimitrios Tzovaras"'
Autor:
Panagiotis Christakakis, Nikolaos Giakoumoglou, Dimitrios Kapetas, Dimitrios Tzovaras, Eleftheria-Maria Pechlivani
Publikováno v:
AI, Vol 5, Iss 3, Pp 1301-1323 (2024)
Detecting early plant diseases autonomously poses a significant challenge for self-navigating robots and automated systems utilizing Artificial Intelligence (AI) imaging. For instance, Botrytis cinerea, also known as gray mold disease, is a major thr
Externí odkaz:
https://doaj.org/article/fcb22a99eafb4d7cacfe0df0527b2759
Autor:
Nikolaos Mpouzianas, Stavros Koltsios, Ioannis Pastaltzidis, Nikolaos Katsaros, Georgios Giannopoulos, Panagiotis Klonis, Panagiota Chatzipanagiotidou, Dimosthenis Ioannidis, Dimitrios Tzovaras
Publikováno v:
International Journal of Sustainable Energy, Vol 43, Iss 1 (2024)
ABSTRACTA significant portion of energy consumption currently derives from the building stock, which has harms both the environment and the living standard of occupants, while at the European level, the renovation rate of the current building stock r
Externí odkaz:
https://doaj.org/article/9460f3b0ba8d4c28bdf50f3f69759d5f
Autor:
Alexandros Vrochidis, Nikolaos Dimitriou, Stelios Krinidis, Savvas Panagiotidis, Stathis Parcharidis, Dimitrios Tzovaras
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract This paper introduces a deep learning methodology for analyzing audience engagement in online video events. The proposed deep learning framework consists of six layers and starts with keyframe extraction from the video stream and the partici
Externí odkaz:
https://doaj.org/article/a16bc4253532491e9a88236b7c7639ab
Autor:
Nikolaos Giakoumoglou, Eleni Kalogeropoulou, Christos Klaridopoulos, Eleftheria Maria Pechlivani, Panagiotis Christakakis, Emilia Markellou, Nikolaos Frangakis, Dimitrios Tzovaras
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100481- (2024)
Botrytis cinerea is an airborne plant pathogen that causes grey mould disease on horticultural crops, such as tomato, cucumber, pepper, and more. Early detection is crucial for timely and effective strategies for crop loss prevention. In this study,
Externí odkaz:
https://doaj.org/article/600264e99a8d4a8484fe74b0e26cb2a8
Autor:
Ioannis Schoinas, Anna Triantafyllou, Dimosthenis Ioannidis, Dimitrios Tzovaras, Anastasios Drosou, Konstantinos Votis, Thomas Lagkas, Vasileios Argyriou, Panagiotis Sarigiannidis
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 5933-6017 (2024)
Federated Learning has emerged as a revolutionary technology in Machine Learning (ML), enabling collaborative training of models in a distributed environment while ensuring privacy and security. This work discusses the topic of FL by providing insigh
Externí odkaz:
https://doaj.org/article/fd5b199a5ae54816ad27f6768f868b64
Autor:
Nikolaos Tsalikidis, Aristeidis Mystakidis, Paraskevas Koukaras, Marius Ivaškevičius, Lina Morkūnaitė, Dimosthenis Ioannidis, Paris A. Fokaides, Christos Tjortjis, Dimitrios Tzovaras
Publikováno v:
Smart Cities, Vol 7, Iss 1, Pp 233-253 (2024)
The continuous growth of urban populations has led to the persistent problem of traffic congestion, which imposes adverse effects on quality of life, such as commute times, road safety, and the local air quality. Advancements in Internet of Things (I
Externí odkaz:
https://doaj.org/article/1f8006ec04604dc995aafc544cf61b95
Autor:
Anastasios Alexiadis, Athanasios Tsanas, Leonard Shtika, Vassilis Efopoulos, Konstantinos Votis, Dimitrios Tzovaras, Andreas Triantafyllidis
Publikováno v:
IEEE Access, Vol 12, Pp 7469-7478 (2024)
Hypoglycaemia is one of the most common complications in diabetes, which can be life threatening if not managed appropriately. So far, research on hypoglycaemia prediction has been scarce, focusing on small cohorts linked to specific geographical reg
Externí odkaz:
https://doaj.org/article/df295bba313d40398821044bbd94c5b0
Publikováno v:
AI, Vol 4, Iss 4, Pp 996-1009 (2023)
Early detection and efficient management practices to control Tuta absoluta (Meyrick) infestation is crucial for safeguarding tomato production yield and minimizing economic losses. This study investigates the detection of T. absoluta infestation on
Externí odkaz:
https://doaj.org/article/cf5b11a951e742af8c1d9f66f996f3aa
Autor:
Alexios Papaioannou, Asimina Dimara, Christoforos Papaioannou, Ioannis Papaioannou, Stelios Krinidis, Christos-Nikolaos Anagnostopoulos, Christos Korkas, Elias Kosmatopoulos, Dimosthenis Ioannidis, Dimitrios Tzovaras
Publikováno v:
Energies, Vol 17, Iss 17, p 4529 (2024)
Predicting errors in home appliances is crucial for maintaining the reliability and efficiency of smart homes. However, there is a significant lack of such data on appliance malfunctions that can be used in developing effective anomaly detection mode
Externí odkaz:
https://doaj.org/article/788e41ee2c0c421496a2e04d2dabe022
Autor:
Sofia Polymeni, Vasileios Pitsiavas, Georgios Spanos, Quentin Matthewson, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras
Publikováno v:
Energies, Vol 17, Iss 17, p 4324 (2024)
With the global transportation sector being a major contributor to greenhouse gas (GHG) emissions, transitioning to cleaner and more efficient forms of transportation is essential for mitigating climate change and improving air quality. Toward sustai
Externí odkaz:
https://doaj.org/article/0ca2a62cd43940e1916e8b6fb09cb393