Monografie
The time has come : application of artificial intelligence in small- and medium-sized enterprises
- Sprache
-
Englisch
- Identifier
-
1280130776
Beteiligte Personen und Organisationen
Kiefer, Daniel
van Dinther, Clemens
Straub, Tim
van Dinther, Clemens
Straub, Tim
- DOI
-
10.34645/opus-3872
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
02.05.2023, 09:12 MESZ
Objekttyp
- Monografie
Beteiligte
- Kiefer, Daniel
- van Dinther, Clemens
- Straub, Tim
Ähnliche Objekte (12)
Artificial intelligence in supply chain management: investigation of transfer learning to improve demand forecasting of intermittent time series with deep learning
Application of artificial intelligence to optimize forecasting capability in procurement
Demand forecasting intermittent and lumpy time series: comparing statistical, machine learning and deep learning methods
Sustainability incubators : a coordinated collaborative approach towards sustainable manufacturing amongst small and medium-sized enterprises
Infrared Spectroscopic Analysis of the Inorganic Deposits from Water in Domestic and Technical Heat Exchangers
Establishing energy efficiency : drivers for energy effciency in German manufacturing small- and medium-sized enterprises
Towards digital knowledge transfer in small and medium-sized manufacturing enterprises
Three empirical essays on micro-, small and medium-sized enterprises and entrepreneurship promotion in developing countries
Initial coin offerings, how do investors decide? A systematic literature review
Optics and Spectroscopy for Fluid Characterization
Quantitative enantioselective Raman spectroscopy
The application of artificial intelligence models for food security : a review
Artificial intelligence in supply chain management: investigation of transfer learning to improve demand forecasting of intermittent time series with deep learning
Application of artificial intelligence to optimize forecasting capability in procurement
Demand forecasting intermittent and lumpy time series: comparing statistical, machine learning and deep learning methods
Sustainability incubators : a coordinated collaborative approach towards sustainable manufacturing amongst small and medium-sized enterprises
Infrared Spectroscopic Analysis of the Inorganic Deposits from Water in Domestic and Technical Heat Exchangers
Establishing energy efficiency : drivers for energy effciency in German manufacturing small- and medium-sized enterprises
Towards digital knowledge transfer in small and medium-sized manufacturing enterprises
Three empirical essays on micro-, small and medium-sized enterprises and entrepreneurship promotion in developing countries
Initial coin offerings, how do investors decide? A systematic literature review
Optics and Spectroscopy for Fluid Characterization
Quantitative enantioselective Raman spectroscopy
The application of artificial intelligence models for food security : a review
Artificial intelligence in supply chain management: investigation of transfer learning to improve demand forecasting of intermittent time series with deep learning
Application of artificial intelligence to optimize forecasting capability in procurement
Demand forecasting intermittent and lumpy time series: comparing statistical, machine learning and deep learning methods
Sustainability incubators : a coordinated collaborative approach towards sustainable manufacturing amongst small and medium-sized enterprises
Infrared Spectroscopic Analysis of the Inorganic Deposits from Water in Domestic and Technical Heat Exchangers
Establishing energy efficiency : drivers for energy effciency in German manufacturing small- and medium-sized enterprises
Towards digital knowledge transfer in small and medium-sized manufacturing enterprises
Three empirical essays on micro-, small and medium-sized enterprises and entrepreneurship promotion in developing countries
Initial coin offerings, how do investors decide? A systematic literature review
Optics and Spectroscopy for Fluid Characterization
Quantitative enantioselective Raman spectroscopy