Concept
Carte autoadaptative
Publications associées (100)
Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots
Alcherio Martinoli, Chiara Ercolani, Faezeh Rahbar
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring. Oftentimes, this involves detecting how certain gases are spread out in the environment, commonly refe ...
MDPI2023Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer
Jean-Philippe Thiran, Guillaume Marc Georges Vray, Devavrat Tomar
There is a strong incentive to develop computational pathology models to i) ease the burden of tissue typology annotation from whole slide histological images; ii) transfer knowledge, e.g., tissue class separability from the withheld source domain to the d ...
2023Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring
Christian Leinenbach, Sergey Shevchik, Rafal Wróbel, Marc Leparoux
This study presents a self-supervised Bayesian Neural Network (BNN) framework using air-borne Acoustic Emission (AE) to identify different Laser Powder Bed Fusion (LPBF) process regimes such as Lack of Fusion, conduction mode, and keyhole without ground-tr ...
London2023Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation
Alcherio Martinoli, Chiara Ercolani, Lixuan Tang, Ankita Arun Humne
Chemical gas dispersion can represent a severe threat to human and animal lives, as well as to the environment. Constructing a map of the distribution of gas in a fast and reliable manner is critical to ensure accurate monitoring of at-risk facilities and ...
2022