Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Petar Vračar"'
Publikováno v:
Computers and Electronics in Agriculture. 161:260-271
Decision support systems, data analysis and data mining have become significant tools for improving business in professional world. The emerging technologies are making the precision agriculture omnipresent and allow potential for enriching it with c
Publikováno v:
Knowledge and Information Systems. 62:541-570
We address the problem of automatic extraction of patterns in the sequence of events in basketball games and construction of statistical models for generating a plausible simulation of a match between two distinct teams. We present a method for autom
Publikováno v:
Expert Systems with Applications. 44:58-66
A method for modeling basketball play-by-play data is proposed.The model facilitates simulations of a basketball game between two distinct teams.We improve on the state-of-the-art in both forecasting accuracy and plausibility.Modeling the non-homogen
Publikováno v:
Computer Science and Information Systems. 13:23-43
We describe a method for learning and recognizing windows as basic structural elements of fa?ades and organizing them into interpretable models of building fa?ades. The method segments an input image into a hierarchical structure of window candidates
Publikováno v:
Journal of Human Kinetics
The International Basketball Federation (FIBA) recently introduced major rule changes that came into effect with the 2010/11 season. Most notably, moving the three-point arc and changing the shot-clock. The purpose of this study was to investigate an
Autor:
Erik Štrumbelj, Petar Vračar
Publikováno v:
International Journal of Forecasting. 28:532-542
We used a possession-based Markov model to model the progression of a basketball match. The model’s transition matrix was estimated directly from NBA play-by-play data and indirectly from the teams’ summary statistics. We evaluated both this appr
Autor:
Petar Vračar, Josip Musić, Miha Drole, Ante Panjkota, Matjaz Kukar, Ivo Stančić, Igor Kononenko
Publikováno v:
ICAT
The problem of detecting objects and their movements in sensor data is of crucial importance in providing safe navigation through both indoor and outdoor environments for the visually impaired. In our setting we use depth- sensor data obtained from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb1306560fa37a755e21fd9c3dedc442
https://www.bib.irb.hr/784190
https://www.bib.irb.hr/784190
Publikováno v:
IEEE Transactions on Information Technology in Biomedicine
Arterial geometry variability is present both within and across individuals. To analyze the influence of geometric parameters on maximal wall shear stress (MWSS) in the human carotid artery bifurcation, the computer simulations were run to generate t