Zobrazeno 1 - 10
of 11 247
pro vyhledávání: '"Åström"'
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 2299-2311 (2024)
Seok Woo Moon,1 Jee Wook Kim,2 Do Hoon Kim,3,4 Michael Adair,5 Daniel Oudin Åström,6 Elin Heldbo Reines,5 Minah Lee,7 Gayoung Kim7 1Department of Psychiatry and Research Institute of Medical Science, Konkuk University School of Medicine, Chungju, S
Externí odkaz:
https://doaj.org/article/b20f4f4aa3274f559b1c118c7303f8c2
Did Stress Prevalence Among Adolescents in Scandinavia Change from 2000 to 2019? A literature review
Publikováno v:
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Vol 11, Iss 1, Pp 150-162 (2023)
Prolonged stress is a risk factor for developing mental illness and stress-related diseases. As there has been an increase in self-reported psychological symptoms and diagnosis of mental illness among Scandinavian adolescents, more knowledge of stres
Externí odkaz:
https://doaj.org/article/f695b2ffb82648f99f31e8d66836e4c4
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 19, Pp 2401-2412 (2023)
Masaki Kato,1 Toshiaki Kikuchi,2 Koichiro Watanabe,3 Tomiki Sumiyoshi,4 Yoshiya Moriguchi,5 Daniel Oudin Åström,6 Michael Cronquist Christensen6 1Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan; 2Department of Neuropsychiatry
Externí odkaz:
https://doaj.org/article/8c281edd86c04e31a6c8c148e3c860a4
Time delay estimation or Time-Difference-Of-Arrival estimates is a critical component for multiple localization applications such as multilateration, direction of arrival, and self-calibration. The task is to estimate the time difference between a si
Externí odkaz:
http://arxiv.org/abs/2411.13179
In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmented and perturbed unlabeled images with a small amount of labeled data,
Externí odkaz:
http://arxiv.org/abs/2411.04596
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
Sound event localization and detection (SELD) systems using audio recordings from a microphone array rely on spatial cues for determining the location of sound events. As a consequence, the localization performance of such systems is to a large exten
Externí odkaz:
http://arxiv.org/abs/2408.17166
We present a novel approach to the 3D sound source localization task for distributed ad-hoc microphone arrays by formulating it as a set-to-set regression problem. By training a multi-modal masked autoencoder model that operates on audio recordings a
Externí odkaz:
http://arxiv.org/abs/2408.15771
Autor:
Åström, Hugo, Lehtola, Susi
We point out that although a litany of studies have been published on atoms in hard-wall confinement, they have not been systematic or have not used robust numerical methods. We report a methodical study of atoms in hard-wall confinement employing a
Externí odkaz:
http://arxiv.org/abs/2408.11595