Cargando…
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks †
Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. In addition to their useful applications, an alarming concern in regard to the physical infrastructure security, safety and privacy has...
Autores principales: | Al-Emadi, Sara, Al-Ali, Abdulla, Al-Ali, Abdulaziz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348319/ https://www.ncbi.nlm.nih.gov/pubmed/34372189 http://dx.doi.org/10.3390/s21154953 |
Ejemplares similares
-
DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
por: Allahham, MHD Saria, et al.
Publicado: (2019) -
Generative Adversarial Networks and Data Clustering for Likable Drone Design
por: Yamin, Lee J., et al.
Publicado: (2022) -
DeepVision: Enhanced Drone Detection and Recognition in Visible Imagery through Deep Learning Networks
por: Al Dawasari, Hassan J., et al.
Publicado: (2023) -
YOLO-based segmented dataset for drone vs. bird detection for deep and machine learning algorithms
por: Shandilya, Shishir Kumar, et al.
Publicado: (2023) -
LHC analysis-specific datasets with Generative Adversarial Networks
por: Hashemi, Bobak, et al.
Publicado: (2019)