Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Andreas Schumann"'
Publikováno v:
Meteorologische Zeitschrift, Vol 29, Iss 2, Pp 147-163 (2020)
Floods which affect several macro-scale river basins simultaneously can cause devastating damage. Future flood-risk assessment depends significantly on the knowledge about the atmospheric conditions leading to floods and external climate drivers. Non
Externí odkaz:
https://doaj.org/article/901f1a101b3946e29f57b149573928a7
Publikováno v:
Journal of Hydrology X, Vol 10, Iss , Pp 100070- (2021)
The classification of characteristics of flood events, like peak, volume, duration and baseflow components is essential for many hydrological applications such as multivariate flood statistics, the validation of rainfall-runoff models and comparative
Externí odkaz:
https://doaj.org/article/eb39a58b498c41d8af081932667f5a04
Autor:
Thomas SCHLÜTER, Andreas SCHUMANN
Publikováno v:
Geo Journal of Tourism and Geosites, Vol 22, Iss 2, Pp 535-547 (2018)
Despite being one of the smallest countries in Africa, the Kingdom of Eswatini (formerly Swaziland) is characterized by many locations, which are due to their geoscientific significance to be termed as geosites, and which are here in an overview pres
Externí odkaz:
https://doaj.org/article/b25281b276f64e678ba7759b8043d1bc
Autor:
António Moreira Teixeira, Daiva Vitkutė-Adžgauskienė, Veerle Ongenae, Enzo Mingozzi, Christian-Andreas Schumann, Rafael Pastor Vargas
Publikováno v:
Ubiquity Proceedings, Pp 12-12 (2024)
The Information and Communications Technology subject area is a broad multidisciplinary field of academic research and professional practice covering many topics ranging from electronics to system and network administration, to software development,
Externí odkaz:
https://doaj.org/article/78d252f5f9774781af024f6c35456e4e
Publikováno v:
Ubiquity Proceedings, Pp 13-13 (2024)
Back in 2018, the Declaration on Cooperation for AI laid the foundations for increasing the technological and industrial capacities and acceptance of AI, overcoming the socio-economic challenges of transforming labour markets and modernising educatio
Externí odkaz:
https://doaj.org/article/e028f19b2418446c84859443878ff427
Publikováno v:
Ubiquity Proceedings (2023)
Data literacy is a vital life-skill that is becoming increasingly necessary in today's society. As such, public data literacy education must become a substantive component in teaching, requiring an appropriate pedagogical model. This paper aims to pr
Externí odkaz:
https://doaj.org/article/e2231a4accfd442db15cc9c3d61b56a3
Conceptual Approach to an AI-Based Adaptive Study Support System for Individualized Higher Education
Publikováno v:
International Journal of Advanced Corporate Learning (iJAC). 16:69-80
In the context of the digital transformation, the targeted implementation of AI-based or AI-supported technologies in "teaching & learning" as well as "administration & service" holds considerable potential for organizational change and quality enhan
Autor:
Svenja Fischer, Andreas Schumann
Scale dependencies are a core element of hydrological sciences. The inclusion of deterministic aspects in flood statistics requires a cross-scale approach that takes into account the differences in flood generation and, in particular, the importance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63fea1e8eb213b34f9cf2a04be6ff593
https://doi.org/10.5194/egusphere-egu23-1349
https://doi.org/10.5194/egusphere-egu23-1349
Publikováno v:
Developing Diversity, Equity, and Inclusion Policies for Promoting Employee Sustainability and Well-Being ISBN: 9781668441817
The labor market is confronted with social, environmental, and economic developments that affect working conditions and individual labor relations. Lately, the Covid-19 pandemic has demonstrated and reinforced the importance of inclusive growth and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86d9fbcac7f00a041fb348bf6bd9d04f
https://doi.org/10.4018/978-1-6684-4181-7.ch003
https://doi.org/10.4018/978-1-6684-4181-7.ch003
Publikováno v:
Apply Data Science ISBN: 9783658387976
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1289dd6fb4820e6884d2a32232bf6c57
https://doi.org/10.1007/978-3-658-38798-3_4
https://doi.org/10.1007/978-3-658-38798-3_4