Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Konrad Nübel"'
Publikováno v:
Geotechnics, Vol 4, Iss 1, Pp 194-208 (2024)
The Ylvie model is a novel method towards transparent Tunnel Boring Machine (TBM) data analysis for tunnel construction. The model innovatively applies machine learning to automate friction loss computation per stroke, enhancing TBM performance predi
Externí odkaz:
https://doaj.org/article/7a09b121b0c84b48a03665335daed2ef
Autor:
Michael Max Bühler, Igor Calzada, Isabel Cane, Thorsten Jelinek, Astha Kapoor, Morshed Mannan, Sameer Mehta, Vijay Mookerje, Konrad Nübel, Alex Pentland, Trebor Scholz, Divya Siddarth, Julian Tait, Bapu Vaitla, Jianguo Zhu
Publikováno v:
Digital, Vol 3, Iss 3, Pp 146-171 (2023)
Network effects, economies of scale, and lock-in-effects increasingly lead to a concentration of digital resources and capabilities, hindering the free and equitable development of digital entrepreneurship, new skills, and jobs, especially in small c
Externí odkaz:
https://doaj.org/article/36859ca9e9fc48cdb086dbae9fa2094b
Development of a Novel Production Model for Labour Productivity: Modular Construction Toolkit Design
Publikováno v:
Buildings, Vol 13, Iss 11, p 2887 (2023)
The building industry faces a number of prominent challenges in the coming period. In this article, we focus on productivity in construction, which lags behind other industries despite technological developments. There is an urgent need for more effi
Externí odkaz:
https://doaj.org/article/b0137ff0171243a5aea5d788c07e5a12
Autor:
Anne Fischer, Alexandre Beiderwellen Bedrikow, Iris D. Tommelein, Konrad Nübel, Johannes Fottner
Publikováno v:
Algorithms, Vol 16, Iss 4, p 212 (2023)
As in manufacturing with its Industry 4.0 transformation, the enormous potential of artificial intelligence (AI) is also being recognized in the construction industry. Specifically, the equipment-intensive construction industry can benefit from using
Externí odkaz:
https://doaj.org/article/7eab666fe4494980ae9064c6083fa595
Autor:
Michael Max Bühler, Konrad Nübel, Thorsten Jelinek, David Riechert, Thomas Bauer, Thomas Schmid, Martin Schneider
Publikováno v:
Buildings, Vol 13, Iss 2, p 442 (2023)
Digital federated platforms and data cooperatives for secure, trusted and sovereign data exchange will play a central role in the construction industry of the future. With the help of platforms, cooperatives and their novel value creation, the digita
Externí odkaz:
https://doaj.org/article/7677059506ee4849ad4c811d7f64fe96
Publikováno v:
Education Sciences, Vol 12, Iss 11, p 782 (2022)
We call for a paradigm shift in engineering education. We are entering the era of the Fourth Industrial Revolution (“4IR”), accelerated by Artificial Intelligence (“AI”). Disruptive changes affect all industrial sectors and society, leading t
Externí odkaz:
https://doaj.org/article/3e97ade9361b45a3b0a8ca41c3c47561
Autor:
Michael Max Bühler, Christoph Sebald, Diana Rechid, Eberhard Baier, Alexander Michalski, Benno Rothstein, Konrad Nübel, Martin Metzner, Volker Schwieger, Jan-Albrecht Harrs, Daniela Jacob, Lothar Köhler, Gunnar in het Panhuis, Raymundo C. Rodríguez Tejeda, Michael Herrmann, Gerd Buziek
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3634 (2021)
Specific climate adaptation and resilience measures can be efficiently designed and implemented at regional and local levels. Climate and environmental databases are critical for achieving the sustainable development goals (SDGs) and for efficiently
Externí odkaz:
https://doaj.org/article/62546f0bc0b04772890d3e8fee634d62
Publikováno v:
Acta Geotechnica. 18:1391-1405
This article presents an interpretation and statistical analysis of heavy dynamic probing (DPH) tests carried out on the compacted core of Dike A21, of the Diavik Diamond Mine. Due to the inhomogeneous and inherently random nature of soil and the unc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::467c8b0f68c78bf8612c505d00d1e485
https://doi.org/10.1007/s11440-022-01675-6
https://doi.org/10.1007/s11440-022-01675-6
Autor:
Michael Max Bühler, Igor Calzada, Isabel Cane, Thorsten Jelinek, Astha Kapoor, Morshed Mannan, Sameer Mehta, Marina Micheli, Vijay Mookerje, Konrad Nübel, Alex Pentland, Trebor Scholz, Divya Siddarth, Julian Tait, Bapu Vaitla, Jianguo Zhu
Network effects, economies of scale, and lock-in-effects increasingly lead to a concentration of digital resources and capabilities, hindering the free and equitable development of digital entrepreneurship (SDG9), new skills, and jobs (SDG8), especia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e273e9a4d9221f5cd90471e12380d616
https://doi.org/10.20944/preprints202304.0130.v1
https://doi.org/10.20944/preprints202304.0130.v1
We call for a paradigm shift in engineering education. We are entering the era of the Fourth Industrial Revolution (“4IR”), accelerated by Artificial Intelligence (“AI”). Disruptive changes affect all industrial sectors and society, leading t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a9eae538a7ea5bfb30729ded446afa6
https://mediatum.ub.tum.de/1694900
https://mediatum.ub.tum.de/1694900