Discover how multimodal microscopy combines Raman, photoluminescence, and SHG to deliver insights into the structure and ...
Abstract: This paper focuses on the RCS prediction of a 2dimensional object with Gaussian Process Regression (GPR) trained based on a set of shapes of 2D objects and their relevant RCS data. RCS (or ...
This uses a Gaussian Processes regression, implemented in R, using the kernlab package. The software takes raw T1-weighted MRI scans, then uses SPM12 for segmentation and normalisation. A slightly ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
1 Ecole Polytechnique de Ouagadougou, Ouagadougou, Burkina Faso. 2 Agence National Meteorologie, Ouagadougou, Burkina Faso. Precipitation is a critical meteorological factor that significantly impacts ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results