Classifying Transients
The Latest Project --Classifying Transients
Can deep learning be used to classify transients in James Webb Space Telescope (JWST) data and improve our understanding of the early universe?
We are exploring generative models to reach a feasible amount of training data; then delve into deep learning and geospatial methods to classify various transients.
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Deep Learning using drone photography to identify persons/bodies. Artificial Intelligence for homicide.
Aerial thermal imaging to detect faulty solar panels using Deep Learning and GIS.
3D Modeling flood impact and damage assessment.
Bayesian + GIS Methods to make geographical predictions.
Custom Shiny app using R programming language to get kids to do chores!
Developing solutions for NextGen 911 addressing issue.
Mapping geologic features and performing geospatial analysis to find potential cultivation locations on Mars.
Generating training data by annotating images. A bounding box is placed around the object and organized for multi algorithm development.