A framework for Data-Driven Structural Analysis in general elasticity based on nonlinear optimization: The static case
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.112993
Abstract: Abstract Data-Driven Computational Mechanics is a novel computing paradigm that enables the transition from standard data-starved approaches to modern data-rich approaches. At this early stage of development, one can distinguish two mainstream directions. The first one, which… read more here.
Keywords: nonlinear optimization; framework data; data driven; optimization ... See more keywords
A Framework for Data Driven Dynamic Modeling of Serial Manipulators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3223182
Abstract: Robot dynamic modeling and parameter identification are essential for many analyses. High-fidelity multi-body dynamics simulators can model the robot’s dynamic behavior, but they can’t identify the robot’s non-linear dynamic model needed for controller design. This… read more here.
Keywords: system; dynamic modeling; serial manipulators; framework ... See more keywords
DaLiF: a data lifecycle framework for data-driven governments
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Big Data"
DOI: 10.1186/s40537-021-00481-3
Abstract: The public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big… read more here.
Keywords: big data; lifecycle; framework data; lifecycle framework ... See more keywords