Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Blaz Kazic"'
Publikováno v:
Sensors, Vol 19, Iss 8, p 1955 (2019)
To achieve the full analytical potential of the streaming data from the internet of things, the interconnection of various data sources is needed. By definition, those sources are heterogeneous and their integration is not a trivial task. A common ap
Externí odkaz:
https://doaj.org/article/fa047ce67f4b48dd9278b7a8b65fa0d3
Publikováno v:
IEEE Access, Vol 5, Pp 27400-27420 (2017)
Made possible by the availability of spatio-temporal data collected by smart phones and other smart devices, understanding people's mobility patterns has become one of the most promising locationbased services in the past few years, providing various
Externí odkaz:
https://doaj.org/article/05a8d8347c704c909f5ca1268aa20ad5
Publikováno v:
IEEE Access. 5:27400-27420
Made possible by the availability of spatio-temporal data collected by smart phones and other smart devices, understanding people’s mobility patterns has become one of the most promising location-based services in the past few years, providing vari
Autor:
Blaz Fortuna, Rupnik, Jan, Brank, Janez, Fortuna, Carolina, Jovanoski, Viktor, Karlovcec, Mario, Blaz Kazic, Kenda, Klemen, Leban, Gregor, Muhic, Andrej, Blaz Novak, Novljan, Jost, Papler, Miha, Rei, Luis, Blaz Sovdat, Stopar, Luka, Grobelnik, Marko, Mladenic, Dunja
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e17ccfadfd16ab1fcd05d29c856f628e
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6787 (2021)
Demand forecasting is a crucial component of demand management, directly impacting manufacturing companies’ planning, revenues, and actors through the supply chain. We evaluate 21 baseline, statistical, and machine learning algorithms to forecast s
Externí odkaz:
https://doaj.org/article/d200d8e0fbeb4083a53ac99e372e645c