Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Ioannis Voyiatzis"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 247-257 (2023)
The increasing occurrence of wildfires, amplified by the changing climate conditions and drought, poses threats to human lives, the environment and the geographically dispersed infrastructures. Such impact necessitates the prompt identification of wi
Externí odkaz:
https://doaj.org/article/05301429da37403b819676554b613b71
Publikováno v:
Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-17 (2023)
Abstract In the process of the decarbonization of energy production, the use of photovoltaic systems (PVS) is an increasing trend. In order to optimize the power generation, the fault detection and identification in PVS is significant. The purpose of
Externí odkaz:
https://doaj.org/article/eb92a3ddc4cc4355952c73ae5d99c21c
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 33-42 (2022)
The main role of a fault detection and identification technique is to interpret what is causing a PVS’s real-time energy production to drop. To keep photovoltaic (PV) systems performing at their best, fault detection is crucial. Various fault de
Externí odkaz:
https://doaj.org/article/de734789a88c445594bc80611523eee8
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 135 (2023)
Unmanned aerial vehicles (UAVs) are increasingly being used in meteorology research due to their ability to overcome challenges such as difficult access to hazardous locations and the need for high-resolution and real-time data. UAVs provide accurate
Externí odkaz:
https://doaj.org/article/f9b1701ff4314e5fbbff9d790c254278
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8455 (2022)
This research compares the facial expression recognition accuracy achieved using image features extracted (a) manually through handcrafted methods and (b) automatically through convolutional neural networks (CNNs) from different depths, with and with
Externí odkaz:
https://doaj.org/article/60a49a5aa8474343a5ab446259816e7e
Publikováno v:
Entropy, Vol 22, Iss 7, p 735 (2020)
Mobile personalized learning can be achieved by the identification of students’ learning styles; however, this happens with the completion of large questionnaires. This task has been reported as tedious and time-consuming, causing random selection
Externí odkaz:
https://doaj.org/article/1597295932914108ab65650a329ff18f
Autor:
Simone D’Incecco, Piero Di Carlo, Eleonora Aruffo, Nikolaos Chatzisavvas, Ermioni Petraki, Georgios Priniotakis, Ioannis Voyiatzis, Panayiotis H. Yannakopoulos, Dimitrios Nikolopoulos
Publikováno v:
Geosciences, Vol 10, Iss 6, p 233 (2020)
This article reports fractal dimension analysis applied to soil CO2 fluxes measured in an Italian seismic area. The work was carried out with the use of a calibrated flux chamber unit. The fractal dimension (FD) from isotropic variograms was used as
Externí odkaz:
https://doaj.org/article/c35cf56584034d57917083a25e64eee1
Autor:
Dimitrios Nikolopoulos, Ermioni Petraki, Panayiotis H. Yannakopoulos, Georgios Priniotakis, Ioannis Voyiatzis, Demetrios Cantzos
Publikováno v:
Geosciences, Vol 10, Iss 6, p 235 (2020)
This paper reports one-month 3 kHz EM disturbances recorded at Kardamas, Ilia, Greece after a strong M L = 6.6 earthquake occurred on 2018/10/25 near Zakynthos and Ilia. During this period 17 earthquakes occurred with magnitudes M L = 4.5 and M L = 5
Externí odkaz:
https://doaj.org/article/c23f15c719144e899439c1bd3e3ffa85
Publikováno v:
Information Security Journal: A Global Perspective. :1-12
Publikováno v:
Education and Information Technologies. 27:8461-8487