Electrical and Computer Engineering (B.S.)
Document Type and Release Option
Thesis (open access)
Dr. Rami J. Haddad
This research focuses on increasing the classification accuracy of convolutional neural networks in an autonomous network of unmanned aerial vehicles for transportation disaster management. The autonomous network of UAVs will allow first responders to optimize their rescue plans by providing relevant information on inaccessible roads. The research seeks to explore different methods to optimize the architecture of convolutional networks for the multiclass classification of disaster-damaged roads.
Gonzalez Bocanegra, Maria Isabel, "Development and Optimization of Classification Neural Networks for Disaster-Assessment Using Unmanned Aerial Vehicle Systems" (2022). Honors College Theses. 776.