Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Sopasakis, Alexandros"'
Autor:
Åström, Oskar, Sopasakis, Alexandros
We propose a novel Conditional Latent space Variational Autoencoder (CL-VAE) to perform improved pre-processing for anomaly detection on data with known inlier classes and unknown outlier classes. This proposed variational autoencoder (VAE) improves
Externí odkaz:
http://arxiv.org/abs/2410.12328
We propose a methodology to enhance local CO2 monitoring by integrating satellite data from the Orbiting Carbon Observatories (OCO-2 and OCO-3) with ground level observations from the Integrated Carbon Observation System (ICOS) and weather data from
Externí odkaz:
http://arxiv.org/abs/2410.04288
Autor:
Albrecht, Johannes, Bozianu, Leon, Calefice, Lukas, Cella, Sofia, Toapaxi, Carlos Eduardo Cocha, Doglioni, Caterina, Iversen, Kaare Endrup, Gligorov, Vladimir, Gooding, James Andrew, Inkaew, Patin, Magdalinski, Daniel, Sopasakis, Alexandros, Wilson-Edwards, Danielle Joan, network, The SMARTHEP
In modern High Energy Physics (HEP) experiments, triggers perform the important task of selecting, in real time, the data to be recorded and saved for physics analyses. As a result, trigger strategies play a key role in extracting relevant informatio
Externí odkaz:
http://arxiv.org/abs/2408.03881
Autor:
Liu, Donglin, Sopasakis, Alexandros
Publikováno v:
In Heliyon 15 October 2024 10(19)
Millimeter-wave cellular communication requires beamforming procedures that enable alignment of the transmitter and receiver beams as the user equipment (UE) moves. For efficient beam tracking it is advantageous to classify users according to their t
Externí odkaz:
http://arxiv.org/abs/2109.05893
Autor:
Zou, Hanbang, Sopasakis, Alexandros, Maillard, François, Karlsson, Erik, Duljas, Julia, Silwer, Simon, Ohlsson, Pelle, Hammer, Edith C.
Publikováno v:
In Ecological Informatics July 2024 81
Autor:
Sopasakis, Alexandros1 (AUTHOR), Nilsson, Maria2 (AUTHOR), Askenmo, Mattias2 (AUTHOR), Nyholm, Fredrik2 (AUTHOR), Mattsson Hultén, Lillemor2,3 (AUTHOR), Rotter Sopasakis, Victoria2,4 (AUTHOR) victoria.rotter@clinchem.gu.se
Publikováno v:
PLoS ONE. 4/2/2024, Vol. 19 Issue 4, p1-13. 13p.
Autor:
Norlander, Erik, Sopasakis, Alexandros
We propose a new type of variational autoencoder to perform improved pre-processing for clustering and anomaly detection on data with a given label. Anomalies however are not known or labeled. We call our method conditional latent space variational a
Externí odkaz:
http://arxiv.org/abs/1911.10599
Publikováno v:
In Smart Agricultural Technology February 2023 3
In this paper we investigate the approximation properties of the coarse-graining procedure applied to kinetic Monte Carlo simulations of lattice stochastic dynamics. We provide both analytical and numerical evidence that the hierarchy of the coarse m
Externí odkaz:
http://arxiv.org/abs/math/0509228