|
|
|
Daniel Einarson, Fredrik Frisk, Kamilla Klonowska and Charlotte Sennersten
Machine learning (ML) is increasingly used in diverse fields, including animal behavior research. However, its application to ambiguous data requires careful consideration to avoid uncritical interpretations. This paper extends prior research on ringed m...
ver más
|
|
|
|
|
|
|
Milo? Krstic, Velimir Mladenov, Borislav Banjac, Brankica Babec, Du?an Dunderski, Nemanja Cuk, Sonja Gvozdenac, Sandra Cvejic, Sini?a Jocic, Vladimir Miklic and Jelena Ovuka
Climate change projections for the 21st century pose great threats to semi-arid regions, impacting seed production and the quality of sunflowers. Crop yields are negatively affected by climate variability, especially in the event of droughts during the c...
ver más
|
|
|
|
|
|
|
M. V. Rohov
Pág. 114 - 119
The dependence of intervals on the separating switches from cuts braking modes is explored. There were found out the circumstances under which the shortest interval reaches its maximum and this technique is presented.
|
|
|
|
|
|
|
D. M. Kozachenko,M. I. Berezovyi,R. H. Korobiova
Pág. 79 - 82
Based on imitation modelling of marshalling hump operation, there has been obtained a statistic model of intervals between cuts on the separating switches, determined the essential factors and analyzed their influence onto the size of the separating inte...
ver más
|
|
|
|
|
|
|
V. I. Bobrovskyi,M. V. Rohov
Pág. 174 - 182
The authors have developed an iteration method of optimizing the train cuts braking modes on the sorting humps, which allows maximizing the intervals between the cuts on separating switches, and made a study of its efficiency.
|
|
|
|