📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

CLOI-NET: Class segmentation of industrial facilities' point cloud datasets (2020)

First Author: Agapaki E
Attributed to:  CSIC Innovation and Knowledge Centre Phase 2 funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.aei.2020.101121

Publication URI: http://dx.doi.org/10.1016/j.aei.2020.101121

Type: Journal Article/Review

Parent Publication: Advanced Engineering Informatics