Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Helen C, Leligou"'
Publikováno v:
IEEE Access, Vol 12, Pp 114894-114911 (2024)
Recent advancements in communication technology have transformed the way the industrial system works. This digitalization has improved the way of communication between different actors involved in cyber physical production systems (CPPS), such as use
Externí odkaz:
https://doaj.org/article/a094ea69a6db46358aca1dd20d27c5a2
Publikováno v:
IET Networks, Vol 12, Iss 5, Pp 260-267 (2023)
Abstract The satisfaction of the Quality of Service (QoS) levels during an entire service life‐cycle is one of the key targets for Service Providers (SP). To achieve this in an optimal way, it is required to predict the exact amount of the needed p
Externí odkaz:
https://doaj.org/article/da6030bad10042f799b08e078033de9d
Publikováno v:
Signals, Vol 4, Iss 1, Pp 208-234 (2023)
Next-generation wireless communications aim to utilize mmWave/subTHz bands. In this regime, signal propagation is vulnerable to interferences and path losses. To overcome this issue, a novel technology has been introduced, which is called reconfigura
Externí odkaz:
https://doaj.org/article/47f47fce256441aeaf86dc6fd6204e42
Publikováno v:
Information, Vol 15, Iss 6, p 311 (2024)
The evolving role of artificial intelligence (AI) in healthcare can shift the route of automated, supervised and computer-aided diagnostic radiology. An extensive literature review was conducted to consider the potential of designing a fully automate
Externí odkaz:
https://doaj.org/article/36822f2a7a60436e8ee04e7a14a43607
Autor:
Constantinos Vassilakis, Maria Polychronaki, Dimosthenis Margaritis, Dimitrios G. Kogias, Helen C. Leligou
Publikováno v:
Sensors, Vol 24, Iss 8, p 2431 (2024)
This paper introduces a new routing and touring service both for outdoor and indoor places of touristic and cultural interest designed to be used in the wider area of Attica, Greece. This service is the result of the work performed in OPTORER (OPTORE
Externí odkaz:
https://doaj.org/article/99a51638fc6c4742b7b5a67c1100a653
Autor:
Konstantinos Psychogyios, Helen C. Leligou, Filisia Melissari, Stavroula Bourou, Zacharias Anastasakis, Theodore Zahariadis
Publikováno v:
IEEE Access, Vol 11, Pp 100256-100267 (2023)
Neural Style Transfer (NST) is a popular technique of computer vision where the content of an image is blended with the style of another, which results in a fused image with certain properties of both original images. This approach has practical appl
Externí odkaz:
https://doaj.org/article/d5c6f3cad6864b15ba2ff9d8cc727aad
Autor:
Panagiotis A. Karkazis, Konstantinos Railis, Stelios Prekas, Panagiotis Trakadas, Helen C. Leligou
Publikováno v:
Signals, Vol 3, Iss 3, Pp 587-610 (2022)
Our contemporary society has never been more connected and aware of vital information in real time, through the use of innovative technologies. A considerable number of applications have transitioned into the cyber-physical domain, automating and opt
Externí odkaz:
https://doaj.org/article/c325835ba5c741cf8e4ffd96fbe67e34
Autor:
Dimitrios Stamatakis, Dimitrios G. Kogias, Pericles Papadopoulos, Panagiotis A. Karkazis, Helen C. Leligou
Publikováno v:
Computers, Vol 13, Iss 1, p 14 (2024)
The advancement and acceptance of new technologies often hinges on the level of understanding and trust among potential users. Blockchain technology, despite its broad applications across diverse sectors, is often met with skepticism due to a general
Externí odkaz:
https://doaj.org/article/bf671e56bb3d4994805805d98f47858c
Autor:
Constantinos S. Psomopoulos, Kyriaki Kiskira, Konstantinos Kalkanis, Helen C. Leligou, Nickolas J. Themelis
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 1, Pp 48-64 (2022)
Abstract Wastes contain large quantities of energy that can be extracted using a variety of methods. European Union has established a waste‐to‐energy initiative to minimize waste and increase recovery. Τhe EU Landfill Directive promotes more env
Externí odkaz:
https://doaj.org/article/dfa709c15f0041b09b23db0cf3acd3db
Publikováno v:
Designs, Vol 7, Iss 2, p 46 (2023)
In this paper, four machine learning algorithms are examined regarding their effectiveness in dealing with a complete lack of sensor drift values for a crucial parameter for ship performance evaluation, such as a ship’s speed through water (STW). A
Externí odkaz:
https://doaj.org/article/7459db1ff76a4ca389753474758126ec