1 code implementation • 12 Jan 2024 • Elias Arbash, Margret Fuchs, Behnood Rasti, Sandra Lorenz, Pedram Ghamisi, Richard Gloaguen
Addressing the critical theme of recycling electronic waste (E-waste), this contribution is dedicated to developing advanced automated data processing pipelines as a basis for decision-making and process control.
no code implementations • 17 May 2023 • Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann
To address these challenges, we present Tinto, a multi-sensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for non-structured 3D data like point clouds.