Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Angelos Angelopoulos"'
Autor:
Angelos Angelopoulos, Anastasios Giannopoulos, Nikolaos Nomikos, Alexandros Kalafatelis, Antonios Hatziefremidis, Panagiotis Trakadas
Publikováno v:
IEEE Access, Vol 12, Pp 6437-6454 (2024)
The next generation of shipping industry, namely Shipping 4.0 will integrate advanced automation and digitization technologies towards revolutionizing the maritime industry. As conventional maintenance practices are often inefficient, costly, and una
Externí odkaz:
https://doaj.org/article/0dbccd5318974accaf94d37d54be40e6
Autor:
Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides
Publikováno v:
Frontiers in Digital Health, Vol 2 (2021)
Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surg
Externí odkaz:
https://doaj.org/article/13f33f34581d444f921edeab1f72ba0b
Autor:
Panagiotis Trakadas, Pieter Simoens, Panagiotis Gkonis, Lambros Sarakis, Angelos Angelopoulos, Alfonso P. Ramallo-González, Antonio Skarmeta, Christos Trochoutsos, Daniel Calvο, Tomas Pariente, Keshav Chintamani, Izaskun Fernandez, Aitor Arnaiz Irigaray, Josiane Xavier Parreira, Pierluigi Petrali, Nelly Leligou, Panagiotis Karkazis
Publikováno v:
Sensors, Vol 20, Iss 19, p 5480 (2020)
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics
Externí odkaz:
https://doaj.org/article/699b7352c9824dd3a51b464976f808f7
Autor:
Angelos Angelopoulos, Emmanouel T. Michailidis, Nikolaos Nomikos, Panagiotis Trakadas, Antonis Hatziefremidis, Stamatis Voliotis, Theodore Zahariadis
Publikováno v:
Sensors, Vol 20, Iss 1, p 109 (2019)
The recent advancements in the fields of artificial intelligence (AI) and machine learning (ML) have affected several research fields, leading to improvements that could not have been possible with conventional optimization techniques. Among the sect
Externí odkaz:
https://doaj.org/article/80f9be15ef894de79cf46fa1b37936d0
Publikováno v:
Energies, Vol 12, Iss 10, p 1900 (2019)
The aim of this article is to highlight the impact of a periodic power source, such as a tidal turbine, on the operation and sizing of an autonomous hybrid microgrid with photovoltaic panels and storage. The technique of hill climbing (repeated local
Externí odkaz:
https://doaj.org/article/eb58c6a002e44ceb85a49cc4c334c702
Autor:
Angelos Angelopoulos, Austin Hale, Husam Shaik, Akshay Paruchuri, Ken Liu, Randal Tuggle, Daniel Szafir
Publikováno v:
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Autor:
Angelos Angelopoulos, George Economides, George Liontos, Apostolis Philippopoulos, Stelios Sakkas
Publikováno v:
The Journal of Economic Asymmetries. 26:e00271
Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively tests track measurements ("hits") to identify those that form an actual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a1c0931ea1437b2085507314c54da49
http://arxiv.org/abs/2008.12860
http://arxiv.org/abs/2008.12860