Zobrazeno 41 - 50
of 216
pro vyhledávání: '"Iztok Fister"'
Autor:
Iztok Fister, Dušan Fister
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:667-678
Recently, sports training sessions have been generated automatically according to the TRIMP load quantifier that can be calculated easily using data obtained from mobile devices worn by an athlete during the session. This paper focuses on generating
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:466-495
This paper capitalizes on the increasingly high relevance gained by data-intensive technologies in the development of intelligent transportation system, which calls for the progressive adoption of adaptive, self-learning methods for solving modeling,
In recent years, some sport clubs have adopted web forums for online discussions about planning training sessions, races, club problems, sponsors and supporters, equipment and so on. Mostly, these forums are closed, because some discussions about cri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b533cdbba1eafb235f2b1f99766a547
https://doi.org/10.4018/978-1-7998-7707-3.ch020
https://doi.org/10.4018/978-1-7998-7707-3.ch020
Publikováno v:
2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Publikováno v:
2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI).
Autor:
Damijan Novak, Iztok Fister
Publikováno v:
2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI).
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
SOCO
Fractal image reconstruction through iterated function systems (IFS) is an interesting and challenging topic of research. Several methods have been described in the literature to tackle this issue. However, existing methods have focused exclusively o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40653c124e3def3c8d0ce12c434d0be3
https://doi.org/10.1007/978-3-030-87869-6_21
https://doi.org/10.1007/978-3-030-87869-6_21
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
SOCO
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Nowadays, it is no secret that modern machine learning methods are amongst the more computationally-intensive learning methods. The rise in the applications of computationally-intensive deep learning, automated machine learning methods, and even meta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a52d46481df918fc7a71b6167ef6d86
https://doi.org/10.1007/978-3-030-87869-6_19
https://doi.org/10.1007/978-3-030-87869-6_19
Publikováno v:
Proceedings of the 2021 7th Student Computer Science Research Conference (StuCoSReC).
The quality of image recognition with neural network models relies heavily on filters and parameters optimized through the training process. These filters are di˙erent compared to how humans see and recognize objects around them. The di˙erence in m
The 7th Student Computer Science Research Conference is an answer to the fact that modern PhD and already Master level Computer Science programs foster early research activity among the students. The prime goal of the conference is to become a place
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0947f0cc54ad5c3f25d4e15ad00d173b
https://doi.org/10.18690/978-961-286-516-0
https://doi.org/10.18690/978-961-286-516-0