Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nicholas Santavas"'
Autor:
Fotios K. Konstantinidis, Ioannis Kansizoglou, Nicholas Santavas, Spyridon G. Mouroutsos, Antonios Gasteratos
Publikováno v:
Machines, Vol 8, Iss 4, p 88 (2020)
The integration of exponential technologies in the traditional manufacturing processes constitutes a noteworthy trend of the past two decades, aiming to reshape the industrial environment. This kind of digital transformation, which is driven by the I
Externí odkaz:
https://doaj.org/article/5d57a096860e4a38ba8946370565d335
Autor:
Eleftherios Lygouras, Nicholas Santavas, Anastasios Taitzoglou, Konstantinos Tarchanidis, Athanasios Mitropoulos, Antonios Gasteratos
Publikováno v:
Sensors, Vol 19, Iss 16, p 3542 (2019)
Unmanned aerial vehicles (UAVs) play a primary role in a plethora of technical and scientific fields owing to their wide range of applications. In particular, the provision of emergency services during the occurrence of a crisis event is a vital appl
Externí odkaz:
https://doaj.org/article/f5e8cbf419a148ecb3b0c5421aa5973a
Publikováno v:
IEEE Sensors Journal. 21:11488-11496
Vision based human pose estimation is an non-invasive technology for Human-Computer Interaction (HCI). Direct use of the hand as an input device provides an attractive interaction method, with no need for specialized sensing equipment, such as exoske
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9e3c0da140692b8de835f48cc765df
https://doi.org/10.1109/jsen.2020.3018172
https://doi.org/10.1109/jsen.2020.3018172
Autor:
Tilemahos Mitroudas, Konstantinos A. Tsintotas, Nicholas Santavas, Athanasios Psomoulis, Antonios Gasteratos
Publikováno v:
2022 IEEE International Conference on Imaging Systems and Techniques (IST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70d896a3ae15a7c9dd89e8064fba2833
https://doi.org/10.1109/ist55454.2022.9827665
https://doi.org/10.1109/ist55454.2022.9827665
Autor:
Nicholas Santavas, Antonios Gasteratos
Publikováno v:
Optoelectronic Devices in Robotic Systems ISBN: 9783031097904
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d3f4aef9db0564ead17a39409f0bfe5
https://doi.org/10.1007/978-3-031-09791-1_5
https://doi.org/10.1007/978-3-031-09791-1_5
Publikováno v:
ICMLA
Efficient feature learning with Convolutional Neural Networks (CNNs) constitutes an increasingly imperative property since several challenging tasks of computer vision tend to require cascade schemes and modalities fusion. Feature learning aims at CN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a2f4d686fd0a353a3aa61f9ae7281e
http://arxiv.org/abs/2008.03539
http://arxiv.org/abs/2008.03539
Autor:
K.N. Tarchanidis, Eleftherios Lygouras, Athanasios C. Mitropoulos, Anastasios Taitzoglou, Antonios Gasteratos, Nicholas Santavas
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 16, p 3542 (2019)
Sensors
Volume 19
Issue 16
Sensors, Vol 19, Iss 16, p 3542 (2019)
Sensors
Volume 19
Issue 16
Unmanned aerial vehicles (UAVs) play a primary role in a plethora of technical and scientific fields owing to their wide range of applications. In particular, the provision of emergency services during the occurrence of a crisis event is a vital appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d3035ef81a9547c377516e8e7d85ba1
http://europepmc.org/articles/PMC6720834
http://europepmc.org/articles/PMC6720834