Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Sanna Uusitalo"'
Autor:
Simona Itri, Danila del Giudice, Martina Mugnano, Volodymyr Tkachenko, Sanna Uusitalo, Annukka Kokkonen, Inka Päkkilä, Heidi Ottevaere, Yunfeng Nie, Emanuela Mazzon, Agnese Gugliandolo, Pietro Ferraro, Simonetta Grilli
Publikováno v:
Sensing and Bio-Sensing Research, Vol 38, Iss , Pp 100536- (2022)
The detection of low abundant biomarkers is of great interest in different clinical cases, such as the early diagnosis of Alzheimer's disease. Here we present what we call pin-based pyro-electrohydrodynamic jet (p-jet) sensor that can linearly tune t
Externí odkaz:
https://doaj.org/article/c69bd4385be54fb0b660163691159f4c
Autor:
Sanna Uusitalo, José Diaz-Olivares, Juha Sumen, Eero Hietala, Ines Adriaens, Wouter Saeys, Mikko Utriainen, Lilli Frondelius, Matti Pastell, Ben Aernouts
Publikováno v:
Foods, Vol 10, Iss 11, p 2686 (2021)
Today, measurement of raw milk quality and composition relies on Fourier transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts.
Externí odkaz:
https://doaj.org/article/a62327fb77da493781e3fc09d95c811f
Akademický článek
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Autor:
Jari Havisto, Martin Köhler, Sanna Uusitalo, Marko Paavola, Andreas Knobloch, Katariina Rahkamaa-Tolonen
The Goldeneye project combines remote sensing and positioning technologies with proximal sensing to produce reference calibrated mineralogical maps through data fusion. The project brings together optical satellite sensor data, drone sensor aerial da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437b87d4c55d04c6ea1e891c59b44715
https://doi.org/10.5194/egusphere-egu23-4901
https://doi.org/10.5194/egusphere-egu23-4901
Autor:
Sami Siikanen, Marko Savolainen, Arto Karinen, Julia Puputti, Timo Kauppinen, Sanna Uusitalo, Marko Paavola
Publikováno v:
Siikanen, S, Savolainen, M, Karinen, A, Puputti, J, Kauppinen, T, Uusitalo, S & Paavola, M 2022, Drone-based near-infrared multispectral and hyperspectral imaging in monitoring structural changes in mine tailing ponds . in A Mendioroz & N P Avdelidis (eds), Thermosense : Thermal Infrared Applications XLIV ., 1210908, International Society for Optics and Photonics SPIE, Proceedings of SPIE-The International Society for Optical Engineering, vol. 12109, Thermosense: Thermal Infrared Applications XLIV 2022, Virtual, Online, 6/06/22 . https://doi.org/10.1117/12.2618294
Monitoring and verification of structural changes in mining areas is necessary for mining operators-especially in terms of what events are taking place in the mining area and tailing ponds. Emptying or enriching a pond requires up-to-date information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5daa22afa225b3f8640cbfca610e41b9
https://doi.org/10.1117/12.2618294
https://doi.org/10.1117/12.2618294
Autor:
Tuomas, Sormunen, Sanna, Uusitalo, Hannu, Lindström, Kirsi, Immonen, Juha, Mannila, Janne, Paaso, Sari, Järvinen
Publikováno v:
Waste managementresearch : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. 40(10)
The use of plastics is rapidly rising around the world causing a major challenge for recycling. Lately, a lot of emphasis has been put on recycling of packaging plastics, but, in addition, there are high volume domains with low recycling rate such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f1622eb4f0265c206f51e70eca55a1bb
https://pubmed.ncbi.nlm.nih.gov/35331055
https://pubmed.ncbi.nlm.nih.gov/35331055
Autor:
Janne Paaso, Jarmo Huuskonen, Olli Haavisto, Tuomas Soudunsaari, Aki Tuikka, Sanna Uusitalo, Jani Kaartinen, Juha Sumen, Katariina Rahkamaa-Tolonen
Publikováno v:
Uusitalo, S, Soudunsaari, T, Sumen, J, Haavisto, O, Kaartinen, J, Huuskonen, J, Tuikka, A, Rahkamaa-Tolonen, K & Paaso, J 2020, ' Online analysis of minerals from sulfide ore using near-infrared Raman spectroscopy ', Journal of Raman Spectroscopy, vol. 51, no. 6, pp. 978-988 . https://doi.org/10.1002/jrs.5859
Efficient recovery of minerals from bedrock ore requires precise knowledge of the mineral levels during enrichment processes. Froth flotation is a commonly used method for efficient separation of different minerals from finely grinded sulfide ore. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e195d605fc090d34b5e8f8103be95c48
https://doi.org/10.1002/jrs.5859
https://doi.org/10.1002/jrs.5859
SensApp project develops a Super Sensor for the detection of diseases at clinical setting from liquid biopsy through biomarker protein analysis. Circulating biomarkers in plasma could provide a minimally invasive means for monitoring disease existenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::748c1ddc47e658e5e3f9f1d4632e2483
Autor:
Ines Adriaens, Sanna Uusitalo, Lilli Frondelius, Eero Hietala, Matti Pastell, Ben Aernouts, Wouter Saeys, Mikko Utriainen, José Diaz-Olivares, Juha Sumen
Publikováno v:
Foods
Uusitalo, S, Diaz-Olivares, J, Sumen, J, Hietala, E, Adriaens, I, Saeys, W, Utriainen, M, Frondelius, L, Pastell, M & Aernouts, B 2021, ' Evaluation of MEMS NIR Spectrometers for On-Farm Analysis of Raw Milk Composition ', Foods, vol. 10, no. 11, 2686 . https://doi.org/10.3390/foods10112686
Volume 10
Issue 11
Foods, Vol 10, Iss 2686, p 2686 (2021)
Uusitalo, S, Diaz-Olivares, J, Sumen, J, Hietala, E, Adriaens, I, Saeys, W, Utriainen, M, Frondelius, L, Pastell, M & Aernouts, B 2021, ' Evaluation of MEMS NIR Spectrometers for On-Farm Analysis of Raw Milk Composition ', Foods, vol. 10, no. 11, 2686 . https://doi.org/10.3390/foods10112686
Volume 10
Issue 11
Foods, Vol 10, Iss 2686, p 2686 (2021)
Today, measurement of raw milk quality and composition relies on Fourier transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf1a0864e7ac553d07571b6e84879d4
https://cris.vtt.fi/en/publications/f53165e8-b79a-43ef-bdb4-944f3b9a385f
https://cris.vtt.fi/en/publications/f53165e8-b79a-43ef-bdb4-944f3b9a385f
Autor:
Marko Paavola, Marko Savolainen, Kamen Bogdanov, Sanna Uusitalo, Alfonso Sobrecueva Gonzalez, Taras Matselyukh, Jari Havisto, Andreas Knobloch
Publikováno v:
Havisto, J, Matselyukh, T, Paavola, M, Uusitalo, S, Savolainen, M, González, A S, Knobloch, A & Bogdanov, K 2021, Golden AI Data Acquisition and Processing Platform for Safe, Sustainable and Cost-Efficient Mining Operations . in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS ., 9554181, IEEE Institute of Electrical and Electronic Engineers, pp. 5775-5778, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 11/07/21 . https://doi.org/10.1109/IGARSS47720.2021.9554181
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS
Improved use of Earth observation, sensor and positioning data can offer additional exploitation and environmental control and increase the productivity of mines. The EU-funded Goldeneye project develops a Golden AI platform to allow satellites, dron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c15b161ec577d8903d443bc1f1e6ad8
https://cris.vtt.fi/en/publications/f0a9aa20-045a-49ad-9831-0aa4a5181d8d
https://cris.vtt.fi/en/publications/f0a9aa20-045a-49ad-9831-0aa4a5181d8d