Cargando…
Cross-Entropy as a Metric for the Robustness of Drone Swarms
Due to their growing number and increasing autonomy, drones and drone swarms are equipped with sophisticated algorithms that help them achieve mission objectives. Such algorithms vary in their quality such that their comparison requires a metric that would allow for their correct assessment. The nov...
Autores principales: | Cofta, Piotr, Ledziński, Damian, Śmigiel, Sandra, Gackowska, Marta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517137/ https://www.ncbi.nlm.nih.gov/pubmed/33286369 http://dx.doi.org/10.3390/e22060597 |
Ejemplares similares
-
Multivariate linear regression model based on cross-entropy for estimating disorganisation in drone formations
por: Gackowska, Marta, et al.
Publicado: (2023) -
IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification
por: Pałczyński, Krzysztof, et al.
Publicado: (2021) -
ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset
por: Śmigiel, Sandra, et al.
Publicado: (2021) -
Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset
por: Śmigiel, Sandra, et al.
Publicado: (2021) -
Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset
por: Pałczyński, Krzysztof, et al.
Publicado: (2022)