Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Achilles D. Boursianis"'
Autor:
Vasileios P. Rekkas, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Panagiotis Sarigiannidis, David Plets, Wout Joseph, Shaohua Wan, Christos G. Christodoulou, George K. Karagiannidis, Sotirios K. Goudos
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 4, Pp 2838-2869 (2023)
Indoor communication and positioning are significant fields of applications for indoor Internet of Things (IoT) given the rapid growth of IoT in smart cities, smart grids, and smart industries. Visible light positioning (VLP) has become more and more
Externí odkaz:
https://doaj.org/article/807adfa565b14afe89a9871863685d28
Autor:
Sotirios K. Goudos, Panagiotis D. Diamantoulakis, Achilles D. Boursianis, Panagiotis Sarigiannidis, Konstantinos E. Psannis, Mohammad Abdul Matin, Shaohua Wan, George K. Karagiannidis
Publikováno v:
IEEE Access, Vol 11, Pp 30873-30887 (2023)
In this work, we talk about the problem of joint power allocation and user association based on quality-of-service for non-orthogonal multiple access (NOMA) to downlink networks. The problem is especially difficult due to its non-convex form and the
Externí odkaz:
https://doaj.org/article/4c49a85c595441109cc11bc0b61e7449
Autor:
Lazaros Moysis, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Maria S. Papadopoulou, Konstantinos-Iraklis D. Kokkinidis, Christos Volos, Panagiotis Sarigiannidis, Spiridon Nikolaidis, Sotirios K. Goudos
Publikováno v:
IEEE Access, Vol 11, Pp 17031-17052 (2023)
The discipline of Deep Learning has been recognized for its strong computational tools, which have been extensively used in data and signal processing, with innumerable promising results. Among the many commercial applications of Deep Learning, Music
Externí odkaz:
https://doaj.org/article/8bc73aef381c4d24923028c584c69d8c
Autor:
Ioannis D. Bougas, Maria S. Papadopoulou, Achilles D. Boursianis, Konstantinos Kokkinidis, Sotirios K. Goudos
Publikováno v:
Telecom, Vol 2, Iss 4, Pp 369-389 (2021)
The exigency for continuous use of electrical devices has created greater demands for electricity along with more efficient transmission techniques. Energy from natural resources can be solar, thermal, vibration, friction, or Radio Frequencies (RF) s
Externí odkaz:
https://doaj.org/article/cb07f8df98f54767a8c315b479595ee9
Autor:
Maria S. Papadopoulou, Achilles D. Boursianis, Christos K. Volos, Ioannis N. Stouboulos, Spyridon Nikolaidis, Sotirios K. Goudos
Publikováno v:
Telecom, Vol 2, Iss 3, Pp 271-284 (2021)
Radio Frequency (RF) energy harvesting has been emerged as a potentially reliable method to replace the costly and difficult to maintain source of low-power wireless sensor networks. A plethora of dual-band rectifier designs has been proposed in the
Externí odkaz:
https://doaj.org/article/ec4bb816ed12488a9fd0f88fee7f38a5
Autor:
Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Nikolaos Tsakatanis, Achilles D. Boursianis, Konstantinos-Iraklis D. Kokkinidis, George K. Karagiannidis, Sotirios K. Goudos
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8638 (2023)
The Byzantine religious tradition includes Greek Orthodox Church hymns, which significantly differ from other cultures’ religious music. Since the deep learning revolution, audio and music signal processing are often approached as computer vision p
Externí odkaz:
https://doaj.org/article/7d83ed7043e24086a0c58278754fe891
Autor:
Leandro dos S. Coelho, Viviana C. Mariani, Sotirios K. Goudos, Achilles D. Boursianis, Konstantinos Kokkinidis, Nikolaos V. Kantartzis
Publikováno v:
Telecom, Vol 2, Iss 2, Pp 222-231 (2021)
The Jaya optimization algorithm is a simple, fast, robust, and powerful population-based stochastic metaheuristic that in recent years has been successfully applied in a variety of global optimization problems in various application fields. The essen
Externí odkaz:
https://doaj.org/article/7c689aa3326947329a9dfe45e29b9081
Autor:
Ioannis D. Bougas, Maria S. Papadopoulou, Achilles D. Boursianis, Spyridon Nikolaidis, Sotirios K. Goudos
Publikováno v:
Technologies, Vol 11, Iss 2, p 34 (2023)
Radio-frequency (RF) energy harvesting (EH) is emerging as a reliable and constantly available free energy source. The primary factor determining whether this energy can be utilized is how efficiently it can be collected. In this work, an RF EH syste
Externí odkaz:
https://doaj.org/article/93de09de9b2a4f558e0f82061d16d809
Autor:
Aikaterini I. Griva, Achilles D. Boursianis, Shaohua Wan, Panagiotis Sarigiannidis, Konstantinos E. Psannis, George Karagiannidis, Sotirios K. Goudos
Publikováno v:
Sensors, Vol 23, Iss 3, p 1695 (2023)
The implementation of smart networks has made great progress due to the development of the Internet of Things (IoT). LoRa is one of the most prominent technologies in the Internet of Things industry, primarily due to its ability to achieve long-dista
Externí odkaz:
https://doaj.org/article/a5131ed4873f47b78f70fe0b68f7e14d
Autor:
Achilles D. Boursianis, Maria S. Papadopoulou, Juliano Pierezan, Viviana C. Mariani, Leandro S. Coelho, Panagiotis Sarigiannidis, Stavros Koulouridis, Sotirios K. Goudos
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 2, Pp 151-162 (2021)
Radio frequency energy harvesting has attracted considerable interest as a technique of enabling self-powered wireless networks. This technique faces several challenges, such as the receiving and the rectifying modules of a rectenna system. Multiband
Externí odkaz:
https://doaj.org/article/c4be61b71fac455db0c08f4e31dca777