Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Pia Fricker"'
Autor:
Anca-Simona Horvath, Laura Beloff, Lykke Brogaard Bertel, Judit Boros, Lorena Cebolla Sanahuja, Pia Fricker, Foad Hamidi, Martin Michael Hanczyc, Elizabeth Jochum, Markus Löchtefeld, Timothy Robert Merritt, Karina Vissonova
Publikováno v:
Journal of Problem Based Learning in Higher Education, Vol 11, Iss 2 (2023)
Sustainability is currently one of the most important topics in higher education and curriculum development. As a connected and interdependent global community, we are facing increasingly complex and multidimensional socio-political, economic, and en
Externí odkaz:
https://doaj.org/article/22e9d69b7a6e475fa977fd180c0ba267
Publikováno v:
Journal of Problem Based Learning in Higher Education, Vol 11, Iss 2 (2023)
This article presents a nuanced discussion of four episodes on the complexity of possible trajectories for sustainable futures through diverse but intersecting practices and discourses as heterogeneous but complementary articulations of ‘adaptation
Externí odkaz:
https://doaj.org/article/52b692c9468c4f5b83215b4b45bd83d9
Autor:
Pia Fricker, Toni Kotnik
Publikováno v:
SpringerBriefs in Architectural Design and Technology ISBN: 9789811990823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7d02433cc82a47583b4f7112fdd34b1
https://doi.org/10.1007/978-981-19-9083-0
https://doi.org/10.1007/978-981-19-9083-0
Autor:
Pia Fricker, Toni Kotnik
Publikováno v:
SpringerBriefs in Architectural Design and Technology ISBN: 9789811990823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c9f989fcb4af0aff11435184aa38cdc
https://doi.org/10.1007/978-981-19-9083-0_1
https://doi.org/10.1007/978-981-19-9083-0_1
Autor:
Pia Fricker, Toni Kotnik
Publikováno v:
SpringerBriefs in Architectural Design and Technology ISBN: 9789811990823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd885c0dbbb6b1f655f41eb3424597aa
https://doi.org/10.1007/978-981-19-9083-0_4
https://doi.org/10.1007/978-981-19-9083-0_4
Autor:
Pia Fricker, Toni Kotnik
Publikováno v:
SpringerBriefs in Architectural Design and Technology ISBN: 9789811990823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dadaab9a1bfda7d66ae366e7c7c904ea
https://doi.org/10.1007/978-981-19-9083-0_2
https://doi.org/10.1007/978-981-19-9083-0_2
Autor:
Pia Fricker
Publikováno v:
Designing Landscape Architectural Education ISBN: 9781003145905
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a540c9f35ab05c9d159edaaf920d76e0
https://doi.org/10.4324/9781003145905-25
https://doi.org/10.4324/9781003145905-25
Autor:
Pia Fricker
Publikováno v:
Advances in Human and Social Aspects of Technology ISBN: 9781668448540
The research is based on the hypothesis that integrating site-specific and global data into the design process requires a methodological design approach, which connects local to global systems and extends the application of available predefined algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1c4b77957900123969f2c2f22796ec
https://doi.org/10.4018/978-1-6684-4854-0.ch008
https://doi.org/10.4018/978-1-6684-4854-0.ch008
Publikováno v:
eCAADe proceedings.
Deep Learning (DL) has recently gained widespread attention in the automation of urban layout processes. This study proposes a rule-based and Generative Adversarial Network (GAN) workflow to automatically select and label urban datasets to train cust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bdcd270ee8c204efa05dde3a37ab0f8
https://doi.org/10.52842/conf.ecaade.2022.2.583
https://doi.org/10.52842/conf.ecaade.2022.2.583
Publikováno v:
Saloheimo, T, Kaos, M, Fricker, P & Hämäläinen, P 2021, Automatic Recognition of Playful Physical Activity Opportunities of the Urban Environment . in Academic Mindtrek 2021-Proceedings of the 24th International Academic Mindtrek Conference . Association for Computing Machinery, pp. 49-59, 24th International Academic Mindtrek Conference, Mindtrek 2021, Virtual, Online, Finland, 01/06/2021 . https://doi.org/10.1145/3464327.3464369
MindTrek
MindTrek
We investigate deep neural networks in recognizing playful physical activity opportunities of the urban environment. Using transfer learning with a pre-trained Faster R-CNN network, we are able to train a parkour training spot detector with only a fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b13b3a0066eea1a8323b4aee083224bc
https://portal.findresearcher.sdu.dk/da/publications/7298d724-0875-4a82-9ebe-e52cf943c6d6
https://portal.findresearcher.sdu.dk/da/publications/7298d724-0875-4a82-9ebe-e52cf943c6d6