Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sampsa, Kohtala"'
Autor:
Sampsa Kohtala, Tonje Marie Vikene Nedal, Carlo Kriesi, Siv Helen Moen, Qianli Ma, Kristin Sirnes Ødegaard, Therese Standal, Martin Steinert
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
A balanced skeletal remodeling process is paramount to staying healthy. The remodeling process can be studied by analyzing osteoclasts differentiated in vitro from mononuclear cells isolated from peripheral blood or from buffy coats. Osteoclasts are
Externí odkaz:
https://doaj.org/article/ed5e909e6b634bacb2f0fd8905ddfbbf
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This paper presents a new approach for evaluating and controlling expressive humanoid robotic faces using open-source computer vision and machine learning methods. Existing research in Human-Robot Interaction lacks flexible and simple tools that are
Externí odkaz:
https://doaj.org/article/037cc8f1f18d475694898c51d6b35c30
Publikováno v:
Procedia CIRP
In the early stages of product development and design, physical prototypes are designed and built from varying materials with the aim of providing valuable experience and decision support for the project team. In the era of digitalization, 3D printin
Autor:
Sampsa Kohtala, Martin Steinert
Publikováno v:
Procedia CIRP
In this paper we evaluate the applicability of using synthetic data, based on computer aided design models, to automatically detect objects in the real world. The aim is to enable scalable deep learning-based object detection to track and identify ph
Publikováno v:
Procedia CIRP. 91:634-638
In early stages of product development, prototyping is an invaluable tool which allows designers to generate learnings and uncover unknown challenges which can be used to further construct design requirements. While generous use of prototyping early
Publikováno v:
IFAC-Papers
This paper describes a method of using fiducial markers to aid Unmanned Surface Vehicles (USVs) as an additional positioning source during auto-docking. Vision-based techniques allow USVs to localize themselves relative to their surroundings without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37a93ebd642b0f19146e2cfed70fe02e
https://hdl.handle.net/11250/3058061
https://hdl.handle.net/11250/3058061
Publikováno v:
Frontiers in Robotics and AI
This paper presents a new approach for evaluating and controlling expressive humanoid robotic faces using open-source computer vision and machine learning methods. Existing research in Human-Robot Interaction lacks flexible and simple tools that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25a3737c69d171a49c9cc10ef41f5da
https://hdl.handle.net/11250/3039524
https://hdl.handle.net/11250/3039524
Publikováno v:
Waste Management
We present a proof-of-concept method to classify the presence of glass and metal in consumer trash bags. With the prevalent utilization of waste collection trucks in municipal solid waste management, the aim of this method is to help pinpoint the loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cf30524e8e5c34d5a793d53338d470d
https://hdl.handle.net/11250/2723077
https://hdl.handle.net/11250/2723077
The use of Virtual Reality (VR) supports larger strategic goals in the industry, including the geographically diverse working markets, large-scale projects and increased collaboration, both locally and globally. At the same time, VR is becoming incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da247be765e17abf2eccc09714902354
https://hdl.handle.net/11250/2682330
https://hdl.handle.net/11250/2682330
Pulse detection has in recent years received extensive attention in physiological health monitoring, and continuous blood pressure estimation models based on pulse waveform analysis have shown great promises. Two widely used technologies for noninvas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d344f5237527979d0790984ead6e473
http://hdl.handle.net/11250/2639678
http://hdl.handle.net/11250/2639678