Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Dag Johansen"'
Autor:
Cise Midoglu, Andreas Kjæreng Winther, Matthias Boeker, Susann Dahl Pettersen, Sigurd Pedersen, Nourhan Ragab, Tomas Kupka, Steven A. Hicks, Morten Bredsgaard Randers, Ramesh Jain, Håvard J. Dagenborg, Svein Arne Pettersen, Dag Johansen, Michael A. Riegler, Pål Halvorsen
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Data analysis for athletic performance optimization and injury prevention is of tremendous interest to sports teams and the scientific community. However, sports data are often sparse and hard to obtain due to legal restrictions, unwillingne
Externí odkaz:
https://doaj.org/article/605bf630047043f1bc9ec274e2d243eb
Autor:
Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine Powell, Miriam S. Johnson, Dag Johansen, Saeed Shafiee Sabet, Michael A. Riegler, Pal Halvorsen
Publikováno v:
IEEE Access, Vol 12, Pp 131842-131864 (2024)
This paper presents a detailed study of an AI-driven platform designed for the training of child welfare and law enforcement professionals in conducting investigative interviews with maltreated children. It achieves a subjective simulation of intervi
Externí odkaz:
https://doaj.org/article/291c447f6e1e478c8f3a5be063c42ef1
Autor:
Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pal Halvorsen
Publikováno v:
IEEE Access, Vol 12, Pp 118227-118249 (2024)
Sports multimedia is among the most prominent types of content distributed across social media today, and the retargeting of videos for diverse aspect ratios is essential for a suitable representation on different social media platforms. In this resp
Externí odkaz:
https://doaj.org/article/5ad6c594e35c40348e4741d3d5c5db46
Publikováno v:
IEEE Access, Vol 12, Pp 59598-59611 (2024)
Deep Neural Networks have been shown to perform poorly or even fail altogether when deployed in real-world settings, despite exhibiting excellent performance on initial benchmarks. This typically occurs due to relative changes in the nature of the pr
Externí odkaz:
https://doaj.org/article/1577b95c0654428a94bdee8273e086a0
Publikováno v:
Future Internet, Vol 16, Iss 8, p 261 (2024)
In resource-intensive Internet of Things applications, Lightweight Stream Ciphers (LWSCs) play a vital role in influencing both the security and performance of the system. Numerous LWSCs have been proposed, each offering certain properties and trade-
Externí odkaz:
https://doaj.org/article/c533583eedeb48c2a5a5475f90f5d916
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303759 (2024)
The quantification of peak locomotor demands has been gathering researchers' attention in the past years. Regardless of the different methodological approaches used, the most selected epochs are between 1-, 3-, 5- and 15-minutes time windows. However
Externí odkaz:
https://doaj.org/article/5854507763ce447aa594244289420072
Autor:
Andreas K Winther, Ivan Baptista, Sigurd Pedersen, João Brito, Morten B Randers, Dag Johansen, Svein Arne Pettersen
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0299851 (2024)
This observational study aimed to analyze external training load in highly trained female football players, comparing starters and non-starters across various cycle lengths and training days.MethodExternal training load [duration, total distance [TD]
Externí odkaz:
https://doaj.org/article/63e7fb6bf07f45ce893eadf05cf4cfdb
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Introduction: The fluctuation of external match load throughout a season is influenced by several contextual factors. While some, have been deeply analysed in men’s football literature, information is lacking on how other contextual elements, such
Externí odkaz:
https://doaj.org/article/0e969409ec454dc99c585a90a667e856
Autor:
Joakim Olav Valand, Haris Kadragic, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 990-1008 (2021)
The current gold standard for extracting highlight clips from soccer games is the use of manual annotations and clippings, where human operators define the start and end of an event and trim away the unwanted scenes. This is a tedious, time-consuming
Externí odkaz:
https://doaj.org/article/5d1390cd69dd4b8281df21e42b3f3038
Autor:
Olav Andre Nergård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 1030-1054 (2021)
Detecting events in videos is a complex task, and many different approaches, aimed at a large variety of use-cases, have been proposed in the literature. Most approaches, however, are unimodal and only consider the visual information in the videos. T
Externí odkaz:
https://doaj.org/article/71af2bc23ba04fd6a1a886b225bd4a89