Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ondrej Budik"'
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101915- (2024)
We present AISLEX, an online anomaly detection module based on the Learning Entropy algorithm, a novel machine learning-based information measure that quantifies the learning effort of neural networks. AISLEX detects anomalous data samples when the l
Externí odkaz:
https://doaj.org/article/7f02b795d5c846aaa09f69c9c1392085
Publikováno v:
Renewable and Sustainable Energy Reviews. 182:113347
Autor:
Rudolf Vohnout, Ivo Bukovsky, Shuo-Yan Chou, Jakub Geyer, Ondrej Budik, Rohit Sharma, Milos Prokysek, Tomas Horvath, Annemie Wyckmans
Publikováno v:
IEEE Internet of Things Journal. :1-1
Publikováno v:
2020 Sensor Signal Processing for Defence Conference (SSPD).
Learning Entropy (LE) was initially introduced as a measure for sample point novelty by unusually large learning effort of an online learning system. The key concept is that LE is based on pre-training and further online learning, and the novelty mea
Autor:
Milan Novak, Petr Doležal, Ondřej Budík, Ladislav Ptáček, Jakub Geyer, Markéta Davídková, Miloš Prokýšek
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 51, Iss , Pp 101637- (2024)
Rapid detection and identification of the extent of spruce bark beetle infestation in the field is a necessity for researchers, forest rangers, and tree protection agencies. This paper presents an innovative solution that uses an autonomous multifunc
Externí odkaz:
https://doaj.org/article/a55c54d623214eb191da7289bb248bbb
Publikováno v:
Advanced Science Letters. 22:2082-2085
Publikováno v:
Advanced Engineering and Technology III.
Publikováno v:
Jurnal Teknologi. 78
Horizontal curves are very problematic elements of the road alignment. The danger of these spots is confirmed by the analysis of accidents, which showed that while on the tangents (straight sections) is an accident resulting in injury or death one of