Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Lina Stankovic"'
Autor:
Sotirios Athanasoulias, Fernanda Guasselli, Nikolaos Doulamis, Anastasios Doulamis, Nikolaos Ipiotis, Athina Katsari, Lina Stankovic, Vladimir Stankovic
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract The growing availability of smart meter data has facilitated the development of energy-saving services like demand response, personalized energy feedback, and non-intrusive-load-monitoring applications, all of which heavily rely on advanced
Externí odkaz:
https://doaj.org/article/e94b65e7fd94474cb3a452acb8aea082
Autor:
Sotirios Athanasoulias, Fernanda Guasselli, Nikolaos Doulamis, Anastasios Doulamis, Nikolaos Ipiotis, Athina Katsari, Lina Stankovic, Vladimir Stankovic
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/ce9658e5e1db4b94a5aeb29265e1210c
Publikováno v:
Geosciences, Vol 14, Iss 8, p 220 (2024)
For most landslides, several destabilising processes act simultaneously, leading to relative sliding along the soil or rock mass surface over time. A number of machine learning approaches have been proposed recently for accurate relative and cumulati
Externí odkaz:
https://doaj.org/article/9b4a599beb2a4de7a900479fb475e644
Publikováno v:
Sensors, Vol 23, Iss 19, p 8164 (2023)
This is the first investigation to perform an unsupervised cluster analysis of activities performed by individuals with lower limb amputation (ILLAs) and individuals without gait impairment, in free-living conditions. Eight individuals with no gait i
Externí odkaz:
https://doaj.org/article/038b797362fa49c8b8a1e926268df827
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2901 (2023)
Recent years have seen deep learning (DL) architectures being leveraged for learning the nonlinear relationships across the parameters in seismic inversion problems in order to better analyse the subsurface, such as improved velocity model building (
Externí odkaz:
https://doaj.org/article/609e2a5e2eea4e21861249cb93afa658
Publikováno v:
Sensors, Vol 23, Iss 10, p 4845 (2023)
With the massive, worldwide, smart metering roll-out, both energy suppliers and users are starting to tap into the potential of higher resolution energy readings for accurate billing, improved demand response, improved tariffs better tuned to users a
Externí odkaz:
https://doaj.org/article/4bf69ac288ef4dba99d20b87116e49da
Publikováno v:
IEEE Access, Vol 9, Pp 75082-75089 (2021)
With the growing application of undirected graphs for signal/image processing on graphs and distributed machine learning, we demonstrate that the shift-enabled condition is as necessary for undirected graphs as it is for directed graphs. It has recen
Externí odkaz:
https://doaj.org/article/072c9b0457f24d328a30e3cf355e59b2
Autor:
Jiangfeng Li, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Cheng Yang, Qingjiang Shi
Publikováno v:
Sensors, Vol 23, Iss 1, p 243 (2022)
Slope instabilities caused by heavy rainfall, man-made activity or earthquakes can be characterised by seismic events. To minimise mortality and infrastructure damage, a good understanding of seismic signal properties characterising slope failures is
Externí odkaz:
https://doaj.org/article/9a75b3b7fd364c80946ba33a70a450a7
Autor:
Milica Petkovic, Dragana Bajovic, Dejan Vukobratovic, Juraj Machaj, Peter Brida, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic
Publikováno v:
Sensors, Vol 22, Iss 21, p 8523 (2022)
This paper proposes energy-efficient solutions for the smart light-emitting diode (LED) lighting system, which provides minimal energy consumption while simultaneously satisfying illuminance requirements of the users in a typical office space. In add
Externí odkaz:
https://doaj.org/article/85387dd69ae646938014ad6398bebde8
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-14