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Quantum machine learning aims to use quantum computers to enhance machine learning, but it is often limited by the required number of samples due to quantum noise and statistical limits on expectation value estimates. While efforts are made to reduce
Externí odkaz:
http://arxiv.org/abs/2406.04944
The search for refining 3D LiDAR data has attracted growing interest motivated by recent techniques such as supervised learning or generative model-based methods. Existing approaches have shown the possibilities for using diffusion models to generate
Externí odkaz:
http://arxiv.org/abs/2405.04889
The field of Quantum Machine Learning (QML) has emerged recently in the hopes of finding new machine learning protocols or exponential speedups for classical ones. Apart from problems with vanishing gradients and efficient encoding methods, these spe
Externí odkaz:
http://arxiv.org/abs/2310.10629
Long-tailed semi-supervised learning (LTSSL) represents a practical scenario for semi-supervised applications, challenged by skewed labeled distributions that bias classifiers. This problem is often aggravated by discrepancies between labeled and unl
Externí odkaz:
http://arxiv.org/abs/2306.04621
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 2511-2519 (2024)
Håkon Johansen,1,2 Bjørg Elisabeth Hermansen,2 Ann Karin Helgesen2 1Centre for Development of Institutional and Home Care Services Østfold, Mysen, Norway; 2Faculty of Health, Welfare and Organisation, Østfold University College, Fredrikstad, Norw
Externí odkaz:
https://doaj.org/article/0b5c7480a1c341529c0c2bd15b57116c
Autor:
Tore Longva, Magnus S. Eide, Øyvind Endresen, Øyvind Sekkesæter, Henrik Helgesen, Nikolai Hydle Rivedal
Publikováno v:
Maritime Transport Research, Vol 6, Iss , Pp 100112- (2024)
The International Maritime Organization (IMO) has stated an ambition to achieve net-zero GHG emissions by 2050 and new regulations are under development to achieve this. To inform decisions on GHG regulations, this study has modeled the CO2 emission
Externí odkaz:
https://doaj.org/article/ec7b1633f7af4cf3b0c1fe129fe62228
Autor:
Elyne De Baetselier, Nienke E. Dijkstra, Luis M. Batalha, Paulo A. Carvalho Ferreira, Izabela Filov, Vigdis A. Grøndahl, Jana Heczkova, Ann K. Helgesen, Sue Jordan, Igor Karnjuš, Petros Kolovos, Gero Langer, Manuel Lillo-Crespo, Alba Malara, Hana Padyšaková, Mirko Prosen, Dorina Pusztai, Bence Raposa, Jorge Riquelme-Galindo, Jana Rottková, Carolien G. M. Sino, Francesco Talarico, Nicola Tingle, Styliani Tziaferi, Bart Van Rompaey, Tinne Dilles
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background Nurses play an important role in interprofessional pharmaceutical care. Curricula related to pharmaceutical care, however, vary a lot. Mapping the presence of pharmaceutical care related domains and competences in nurse educationa
Externí odkaz:
https://doaj.org/article/48b1797771744cc4a526db605fbdaba9
Publikováno v:
Nursing Reports, Vol 13, Iss 4, Pp 1742-1750 (2023)
As recipients of healthcare, patients provide invaluable contributions when assessing quality. The aim of this qualitative study was to explore and describe how patients experienced quality of care during their stay in a Norwegian hospital. In this s
Externí odkaz:
https://doaj.org/article/3ff662a5a80347829a51b0eb071e8608
Publikováno v:
In Preventive Veterinary Medicine July 2024 228
Publikováno v:
In International Journal for Parasitology July 2024 54(8-9):463-474