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Found 4 papers, 2 papers with code
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers
The use of the Audio Spectrogram Transformer (AST) model for gravitational-wave data analysis is investigated.
Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection
Moreover, the trained model is successful in identifying the GW170817 event in the LIGO H1 detector data.
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence
In this paper we present our work to improve access to diagnosis in remote areas where good quality medical services may be lacking.
Exploring SMEFT in VH with Machine Learning
In this paper we study the use of Machine Learning techniques to exploit kinematic information in VH, the production of a Higgs in association with a massive vector boson.
High Energy Physics - Phenomenology High Energy Physics - Experiment
