Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Open data analysis"'
Autor:
Sreevalsan-Nair Jaya, Mubayi Anuj, Chhabra Janvi, Vangimalla Reddy Rani, Ghogale Pritesh Rajesh
Publikováno v:
Computational and Mathematical Biophysics, Vol 11, Iss 1, Pp 770-776 (2023)
It is now known that early government interventions in pandemic management helps in slowing down the pandemic in the initial phase, during which a conservative basic reproduction number can be maintained. There have been several ways to evaluate thes
Externí odkaz:
https://doaj.org/article/0ccf5dbe48974ee9b4923e7807dd778a
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 64, Iss spe (2021)
Abstract The State of Paraná stands out in Brazil for its hydraulic potential for electricity generation. Furthermore, the State also shows potential for the use of other sources of energy, such as solar energy, biogas and biomass. The study traces
Externí odkaz:
https://doaj.org/article/e6e2a1b38e224b049df01c8375a952e5
Publikováno v:
Data in Brief, Vol 33, Iss , Pp 106464- (2020)
The data article presents a dataset suitable to measure regional Industry 4.0 (I4.0+) readiness. The I4.0+ dataset includes 101 indicators with 248 958 observations, aggregated to NUTS 2 statistical level) based on open data in the field of education
Externí odkaz:
https://doaj.org/article/6e7a74a93d8d497f87fc142438b50c0c
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 5, p 301 (2021)
Since 2007, the World Economic Forum (WEF) has issued data on the factors and policies that contribute to the development of tourism and competitiveness across countries worldwide. While WEF compiles the yearly report out of data from governmental an
Externí odkaz:
https://doaj.org/article/68bd078befbe4d53b331adc6bcaa8aaf
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ISPRS International Journal of Geo-Information, Vol 10, Iss 301, p 301 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 5
instname
ISPRS International Journal of Geo-Information, Vol 10, Iss 301, p 301 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 5
[EN] Since 2007, the World Economic Forum (WEF) has issued data on the factors and policies that contribute to the development of tourism and competitiveness across countries worldwide. While WEF compiles the yearly report out of data from government
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c05c1aafaa8bf49466db4022b9cbcfc
http://hdl.handle.net/10251/186989
http://hdl.handle.net/10251/186989
Publikováno v:
Pantano, E, Priporas, C-V, Stylos, N & Dennis, C 2019, ' Facilitating tourists' decision making through open data analyses : A novel recommender system ', Tourism Management Perspectives, vol. 31, pp. 323-331 . https://doi.org/10.1016/j.tmp.2019.06.003
A number of studies have recently been published reporting researchers' efforts to create new, more efficient recommender systems to support tourists' decision making. This current research operationalizes a recommender system by filtering user-gener
Publikováno v:
Brazilian Archives of Biology and Technology v.64 n.spe 2021
Brazilian Archives of Biology and Technology
Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
Brazilian Archives of Biology and Technology, Volume: 64, Issue: spe, Article number: e21200734, Published: 14 JUL 2021
Brazilian Archives of Biology and Technology, Vol 64, Iss spe (2021)
Brazilian Archives of Biology and Technology
Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
Brazilian Archives of Biology and Technology, Volume: 64, Issue: spe, Article number: e21200734, Published: 14 JUL 2021
Brazilian Archives of Biology and Technology, Vol 64, Iss spe (2021)
The State of Paraná stands out in Brazil for its hydraulic potential for electricity generation. Furthermore, the State also shows potential for the use of other sources of energy, such as solar energy, biogas and biomass. The study traces the profi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1300f010d4afeda7007b93445802cd5a
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000200211
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000200211
Publikováno v:
Data in Brief
Data in Brief, Vol 33, Iss, Pp 106464-(2020)
Data in Brief, Vol 33, Iss, Pp 106464-(2020)
The data article presents a dataset suitable to measure regional Industry 4.0 (I4.0+) readiness. The I4.0+ dataset includes 101 indicators with 248 958 observations, aggregated to NUTS 2 statistical level) based on open data in the field of education
Kniha
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