Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kimmo Kallonen"'
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
In recent years the use of complex machine learning has increased drastically. These complex black box models trade interpretability for accuracy. The lack of interpretability is troubling for, e.g., socially sensitive, safety-critical, or knowledge
Externí odkaz:
https://doaj.org/article/c6bd5b0a83b648c5937531ce1930b466
Real-world datasets are often characterised by outliers; data items that do not follow the same structure as the rest of the data. These outliers might negatively influence modelling of the data. In data analysis it is, therefore, important to consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed56d04519970287c13321c5c1aa28b6
http://hdl.handle.net/10138/342187
http://hdl.handle.net/10138/342187
Autor:
Arto Säämänen, Tomi Kanerva, Kaarle Hämeri, Anna-Kaisa Viitanen, Kimmo Kallonen, Tareq Hussein, Erkka Saukko, Kirsi Kukko
Publikováno v:
Viitanen, A-K, Kallonen, K, Kukko, K, Kanerva, T, Saukko, E, Hussein, T & Säämänen, A 2021, ' Technical control of nanoparticle emissions from desktop 3D printing ', Indoor Air, vol. 31, no. 4, pp. 1061-1071 . https://doi.org/10.1111/ina.12791
Material extrusion (ME) desktop 3D printing is known to strongly emit nanoparticles (NP), and the need for risk management has been recognized widely. Four different engineering control measures were studied in real-life office conditions by means of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d456b124fed8492db0b9b004e59e807e
https://aaltodoc.aalto.fi/handle/123456789/103290
https://aaltodoc.aalto.fi/handle/123456789/103290
Publikováno v:
Discovery Science ISBN: 9783030337773
DS
DS
Real-world datasets are often characterised by outliers, points far from the majority of the points, which might negatively influence modelling of the data. In data analysis it is hence important to use methods that are robust to outliers. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d4860963fbb3c82ab6b5693bb4da04e
http://hdl.handle.net/10138/308024
http://hdl.handle.net/10138/308024
Autor:
Anna-Kaisa Viitanen, Anneli Kangas, Marika Huhtiniemi, Tomi Kanerva, Helene Stockmann-Juvala, Arto Säämänen, Kirsi Kukko, Jukka Tuomi, Jouni Partanen, Kimmo Kallonen, Kaarle Hämeri
Publikováno v:
Viitanen, A-K, Kangas, A, Huhtiniemi, M, Kanerva, T, Stockmann-Juvala, H, Säämänen, A, Kukko, K, Tuomi, J, Partanen, J, Kallonen, K & Hämeri, K 2017, Materiaalia lisäävän valmistuksen (3D-tulostus) kaasu-ja hiukkaspäästöt eri työvaiheissa . Finnish Institute of Occupational Health . < https://urn.fi/URN:ISBN:978-952-261-670-8 >
VTT Technical Research Centre of Finland-PURE
VTT Technical Research Centre of Finland-PURE
Materiaalia lisäävän valmistuksen (3D-tulostus) kaasu- ja hiukkaspäästöt eri työvaiheissa –tutkimushankkeessa selvitettiin 3D-tulostusalaan liittyvää työturvallisuutta kyselytutkimuksen, kokeellisten mittausten sekä mallinnuksen avulla.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d6dfccbe5cdb06602755c1deb0af8d49
https://cris.vtt.fi/en/publications/f4eecb9d-88a7-47ac-8186-fb8d241c44e0
https://cris.vtt.fi/en/publications/f4eecb9d-88a7-47ac-8186-fb8d241c44e0