Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dimitrios Kolosov"'
Publikováno v:
IEEE Access, Vol 10, Pp 109167-109186 (2022)
Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options,
Externí odkaz:
https://doaj.org/article/fc47d75d116d41acb6cd67324fce33dd
Publikováno v:
Sensors, Vol 23, Iss 9, p 4550 (2023)
Detecting vital signs by using a contactless camera-based approach can provide several advantages over traditional clinical methods, such as lower financial costs, reduced visit times, increased comfort, and enhanced safety for healthcare professiona
Externí odkaz:
https://doaj.org/article/c49a72a346b846c6b65dd942236c058a
Autor:
Dimitrios Kolosov, Lemonia-Christina Fengou, Jens Michael Carstensen, Nette Schultz, George-John Nychas, Iosif Mporas
Publikováno v:
Sensors, Vol 23, Iss 9, p 4233 (2023)
Spectroscopic sensor imaging of food samples meta-processed by deep machine learning models can be used to assess the quality of the sample. This article presents an architecture for estimating microbial populations in meat samples using multispectra
Externí odkaz:
https://doaj.org/article/1b8669b84e904425912e9b55d91d8af8
Autor:
Dimitrios Kolosov, Iosif Mporas
Publikováno v:
2021 International Carnahan Conference on Security Technology (ICCST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b50d84b1282d1a6104ac55aae26eef24
https://doi.org/10.1109/iccst49569.2021.9717402
https://doi.org/10.1109/iccst49569.2021.9717402