Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Josip Job"'
Publikováno v:
Symmetry, Vol 15, Iss 4, p 798 (2023)
We propose a new, data-driven model for the prediction of the outcomes of NBA and possibly other basketball league games by using machine learning methods. The paper starts with a strict mathematical formulation of the basketball statistical quantiti
Externí odkaz:
https://doaj.org/article/2a279a8879c84317a0abb4862fb241ea
Autor:
Filip Bajić, Josip Job
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 136 (2022)
Chart data extraction is a crucial research field in recovering information from chart images. With the recent rise in image processing and computer vision algorithms, researchers presented various approaches to tackle this problem. Nevertheless, mos
Externí odkaz:
https://doaj.org/article/48436394780c4b8c8d5240b67f616e8b
Autor:
Filip Bajić, Josip Job
Publikováno v:
Journal of Imaging, Vol 7, Iss 11, p 220 (2021)
In recovering information from the chart image, the first step should be chart type classification. Throughout history, many approaches have been used, and some of them achieve results better than others. The latest articles are using a Support Vecto
Externí odkaz:
https://doaj.org/article/7631a6f4f2ba46cfa6b2a9ece9490a9d
Autor:
Josip Job, Tomislav Horvat
Publikováno v:
WIREs Data Mining and Knowledge Discovery. 10
The increase in the volume of structured and unstructured data related to more than just sport events leads to the development and increased use of techniques that extract information and employ machine-learning algorithms in predicting process outco
Publikováno v:
International journal of electrical and computer engineering systems
Volume 11
Issue 1
Volume 11
Issue 1
Data visualization is developed from the need to display a vast quantity of information more transparently. Data visualization often incorporates important information that is not listed anywhere in the document and enables the reader to discover sig
Publikováno v:
International Journal of Electronics. 106:160-172
Transmitted-reference (TR) ultra-wideband (UWB) communication systems have gained increasing popularity for the usage in the low data rate application, due to its non-coherent receiver structure. In conventional TR system, non- coherency at the recei
Publikováno v:
IWSSIP
Data visualization is created due to the need to show vast amount of data in a more transparent way. Data visualization often contains key information that is not listed anywhere in the text and allows the reader to find out important information and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::613bb73395a701c521fe4cf2e1537ccd
https://www.bib.irb.hr/1010771
https://www.bib.irb.hr/1010771
Machine learning becomes one of the top fields in world of ICT (Information and communications technology). In the last few decades machine learning has taken a big boost in sports. Sport fans are using machine learning in sport betting and sport man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abc0ae9aaeab1fd3bdf8cf9c9fbd7571
https://www.bib.irb.hr/982252
https://www.bib.irb.hr/982252
Publikováno v:
Wireless Personal Communications. 83:1927-1944
One of the main drawbacks of conventional transmitted reference (TR) ultra-wideband (UWB) systems is the fact that time delay between the reference and the data pulse has to be at least equal to channel delay spread, in order to avoid inter-pulse int
Publikováno v:
2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST).
The paper presents the novel receiver architecture for the short-range wireless sensor communication, based on Integral Pulse Frequency Modulator (IPFM) and Ultra-Wideband (UWB) pulse generator. UWB IPFM wireless sensor transmits ultra-wideband pulse