Abstract: Unmanned aerial vehicles (UAVs) offer a means to relay signals around obstacles in millimeter wave (mmWave) mobile ad hoc networks. Achieving these benefits, however, requires a dynamic beam ...
Abstract: Phase unwrapping (PU) is a critical process for numerous synthetic aperture radar interferometry (InSAR) applications. The advent of deep learning (DL) has revolutionized PU, with various DL ...
Dive into the fascinating process of building a deep sea monster diorama, starting from a wire armature and polymer clay. Learn step-by-step sculpting, painting, and resin techniques to create a ...
data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results