3 papers
Bayesian Optimization and Convolutional Neural Networks for Zernike-Based Wavefront Correction in High Harmonic Generation
Guilherme Grancho D. Fernandes, Duarte Alexandrino, Eduardo Silva +2
High harmonic generation (HHG) is a nonlinear process that enables table-top generation of tunable, high-energy, coherent, ultrashort radiation pulses in the extreme ultraviolet (E…
Classification of Transient Astronomical Object Light Curves Using LSTM Neural Networks
Guilherme Grancho D. Fernandes, Marco A. Barroca, Mateus dos Santos +1
This study presents a bidirectional Long Short-Term Memory (LSTM) neural network for classifying transient astronomical object light curves from the Photometric LSST Astronomical T…
Mapping The Layers of The Ocean Floor With a Convolutional Neural Network
Guilherme G. D. Fernandes, Vitor S. P. P. Oliveira, João P. I. Astolfo
The mapping of ocean floor layers is a current challenge for the oil industry. Existing solution methods involve mapping through seismic methods and wave inversion, which are compl…