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pro vyhledávání: '"Anandasivakumar Ekambaram"'
Autor:
Agnar Johansen, Petter Eik-Andresen, Andreas Dypvik Landmark, Anandasivakumar Ekambaram, Asbjørn Rolstadås
Publikováno v:
Administrative Sciences, Vol 6, Iss 3, p 11 (2016)
The uncertainty management theory has become well established over the last 20–30 years. However, the authors suggest that it does not fully address why opportunities often remain unexploited. Empirical studies show a stronger focus on mitigating r
Externí odkaz:
https://doaj.org/article/59eecd0fbb0548a68e09746806132582
Publikováno v:
European Conference on Management Leadership and Governance. 18:536-543
Machine learning techniques deals with, among other things, pattern recognition in large amounts of data to identify trends and possible events in the future regarding a given topic of interest. Machine learning methods are useful for addressing chal
Autor:
Anandasivakumar Ekambaram, Nils Olsson
Publikováno v:
European Conference on Knowledge Management. 23:353-361
The building construction industry has a significant potential to develop and apply energy efficient solutions, and hence contribute to address climate and environmental concerns. Energy efficient solutions are applied not only in new buildings, but