Augmentation-free unsupervised approach for point clouds
An augmentation-free unsupervised approach for point clouds to learn transferable point-level features via soft clustering, (SoftClu).
Integrative AI often relies on combined models of multiple AI techniques and there are many ways to create those models and the algorithms that act on them.
An augmentation-free unsupervised approach for point clouds to learn transferable point-level features via soft clustering, (SoftClu).
Discover one of the breakthrough achievements of the ESFA project, a pioneer project in the field of Artificial Intelligence applied to Climate Prediction. Leveraging Geoskop’s revolutionary AI algorithms, housed in a Docker image, we provide unprecedente...
Implementation prototype for scene generation in Autonomous Driving with Multi-Relational CKRs and ASP with Algebraic Measures
In the energy landscape that DSOs find themselves in today, predicting demand and the generation capacity of the systems to which they distribute becomes essential. This is mainly due to the injection of renewable energy among the consumers of the network...
Optimisation of the design and operation of ship energy systems in terms of energy efficiency and lifecycle costs
A lightweight AI rerouting decision model that helps to determine whether running weather routing is beneficial. The goal of the model is to help minimize the high computational workload demanded by a commercial weather routing system that performs freque...
THRUST-4RESST is a multifunctional forest condition assessment tool that is based on AI-aided analytics of time-resolved satellite data
THRUST-AID YOLOv8-based Clearing Object Detection model will help investigate the surroundings of the powerline based on RGB aerial data and indicate potential threats
A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data. The Neighborhood Contrastive Learning (NCL) framework effectively leverages the local...