Zobrazeno 1 - 10
of 59
pro vyhledávání: '"SINGH, MANAV"'
The demand for a huge amount of data for machine learning (ML) applications is currently a bottleneck in an empirically dominated field. We propose a method to combine prior knowledge with data-driven methods to significantly reduce their data depend
Externí odkaz:
http://arxiv.org/abs/2302.10784
Publikováno v:
Energy and Buildings, 2022
"What-if" questions are intuitively generated and commonly asked during the design process. Engineers and architects need to inherently conduct design decisions, progressing from one phase to another. They either use empirical domain experience, simu
Externí odkaz:
http://arxiv.org/abs/2203.10115
Publikováno v:
In Advanced Engineering Informatics October 2024 62 Part C
Publikováno v:
In Knowledge-Based Systems 21 June 2024 294
Data-driven models created by machine learning, gain in importance in all fields of design and engineering. They, have high potential to assist decision-makers in creating novel, artefacts with better performance and sustainability. However,, limited
Externí odkaz:
http://arxiv.org/abs/2108.13836
Publikováno v:
In Automation in Construction April 2022 136
Publikováno v:
In Machine Learning with Applications 15 December 2021 6
Publikováno v:
In Applied Energy 15 December 2021 304
Publikováno v:
In Advanced Engineering Informatics October 2020 46