Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Evangelos Petrongonas"'
Autor:
Dimitrios Loukatos, Evangelos Petrongonas, Kostas Manes, Ioannis-Vasileios Kyrtopoulos, Vasileios Dimou, Konstantinos G. Arvanitis
Publikováno v:
Machines, Vol 9, Iss 4, p 82 (2021)
The boom in the electronics industry has made a variety of credit card-sized computer systems and plenty of accompanying sensing and acting elements widely available, at continuously diminishing cost and size levels. The benefits of this situation fo
Externí odkaz:
https://doaj.org/article/4df15c1683d2427cb7df84ba0f3c0bb2
Autor:
Dimitrios Soudris, Kiamal Pekmestzi, Vasileios Leon, Theodora Paparouni, Evangelos Petrongonas
Publikováno v:
ACM Transactions on Embedded Computing Systems. 20:1-21
Approximate computing has emerged as a promising design alternative for delivering power-efficient systems and circuits by exploiting the inherent error resiliency of numerous applications. The current article aims to tackle the increased hardware co
Autor:
Konstantinos S. Platanitis, Georgios P. Kladis, Evangelos Petrongonas, Christos Skliros, Nikos C. Tsourveloudis, Anastasios D. Zagorianos
Publikováno v:
2022 International Conference on Unmanned Aircraft Systems (ICUAS).
Autor:
George Lentaris, Antonis Tavoularis, Vasileios Leon, Evangelos Petrongonas, Gianluca Furano, David Moloney, Dimitrios Soudris
Publikováno v:
ACM Transactions on Embedded Computing Systems. 20:1-23
The advent of powerful edge devices and AI algorithms has already revolutionized many terrestrial applications; however, for both technical and historical reasons, the space industry is still striving to adopt these key enabling technologies in new m
Publikováno v:
DSD
Embedded systems are presented today with the challenge of a very rapidly evolving application diversity followed by increased programming and computational complexity. Customised heterogeneous System-on-Chip (SoC) processors emerge as an attractive
Autor:
Angelos Kyriakos, Dimitrios Soudris, Evangelos Petrongonas, Bezaitis Charalampos, Dionysios Reisis, Elissaios-Alexios Papatheofanous
Publikováno v:
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO).
Evolving Convolutional Neural Networks (CNNs) and their execution time performance are key factors for a wide range of applications that are based on deep learning. The need for meeting the applications' time constraints led to design AI accelerators