# Beam Detection Based on Machine Learning Algorithms

arXiv: https://arxiv.org/abs/2308.00718 · HTML: https://mlsanity.com/paper/2308.00718/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 6 references that are in the map.
- First posted on arXiv 1 Aug 2023.

## Builds on (most cited first, 1 of 1)

- [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://mlsanity.com/paper/1409.1556/) (2014)

## Abstract (arXiv)

The positions of free electron laser beams on screens are precisely determined by a sequence of machine learning models. Transfer training is conducted in a self-constructed convolutional neural network based on VGG16 model. Output of intermediate layers are passed as features to a support vector regression model. With this sequence, 85.8% correct prediction is achieved on test data.