Zobrazeno 1 - 10
of 1 400
pro vyhledávání: '"Mänttäri, A."'
Autor:
Polina Galitskaya, Anna Luukkonen, Marja I. Roslund, Miia Mänttäri, Anja Yli-Viikari, Liisa Tyrväinen, Aki Sinkkonen, Olli Laitinen
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract The growing global incidence of immune-mediated and inflammatory diseases (IMIDs) is worrisome, with evidence suggesting that environmental factors, notably urbanization and the reduction of green spaces, may act as potential instigators. Ho
Externí odkaz:
https://doaj.org/article/ed443db4fb8344a3bb7849d9f067f879
Publikováno v:
In Environmental Pollution 15 December 2023 339
Autor:
Hrovat, Blaž, Uurasjärvi, Emilia, Viitala, Mirka, del Pino, Ana Franco, Mänttäri, Mika, Papamatthaiakis, Nikolaos, Haapala, Antti, Peiponen, Kai-Erik, Roussey, Matthieu, Koistinen, Arto
Publikováno v:
In Science of the Total Environment 15 May 2024 925
Autor:
Mitsioni, Ioanna, Mänttäri, Joonatan, Karayiannidis, Yiannis, Folkesson, John, Kragic, Danica
Deep Neural Networks (NNs) have been widely utilized in contact-rich manipulation tasks to model the complicated contact dynamics. However, NN-based models are often difficult to decipher which can lead to seemingly inexplicable behaviors and unident
Externí odkaz:
http://arxiv.org/abs/2102.11825
Publikováno v:
In Bioresource Technology March 2023 371
Publikováno v:
In Chemical Engineering Journal 1 January 2024 479
Autor:
Johanna Deak Sjöman, Eeva-Maria Tuhkanen, Miia Mänttäri, Žofie Cimburová, Sanna Stålhammar, David N. Barton, Thomas B. Randrup
Publikováno v:
Frontiers in Sustainable Cities, Vol 5 (2024)
While urban forests are recognized as imperative toward climate adaptation in cities and provide health and recreational benefits to citizens, municipal tree officers often struggle to find successful governance arrangements and budget support toward
Externí odkaz:
https://doaj.org/article/9250ded0b6db4ebb82e09fef68c93f48
A number of techniques for interpretability have been presented for deep learning in computer vision, typically with the goal of understanding what the networks have based their classification on. However, interpretability for deep video architecture
Externí odkaz:
http://arxiv.org/abs/2002.00367
Publikováno v:
In Journal of Water Process Engineering October 2022 49
Autor:
Sermyagina, Ekaterina, Mendoza Martinez, Clara, Lahti, Jussi, Nikku, Markku, Mänttäri, Mika, Kallioinen-Mänttäri, Mari, Vakkilainen, Esa
Publikováno v:
In Biomass and Bioenergy September 2022 164