Cargando…
Mitigating Wireless Channel Impairments in Seismic Data Transmission Using Deep Neural Networks
The traditional cable-based geophone network is an inefficient way of seismic data transmission owing to the related cost and weight. The future of oil and gas exploration technology demands large-scale seismic acquisition, versatility, flexibility, scalability, and automation. On the one hand, a ty...
Autores principales: | Iqbal, Naveed, Lawal, Abdulmajid, Zerguine, Azzedine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473374/ https://www.ncbi.nlm.nih.gov/pubmed/34577311 http://dx.doi.org/10.3390/s21186105 |
Ejemplares similares
-
A Seismic Data Acquisition System Based on Wireless Network Transmission
por: Huang, Yanxia, et al.
Publicado: (2021) -
GFZ Wireless Seismic Array (GFZ-WISE), a Wireless Mesh Network of Seismic Sensors: New Perspectives for Seismic Noise Array Investigations and Site Monitoring
por: Picozzi, Matteo, et al.
Publicado: (2010) -
Fast Determination of Optimal Transmission Rate for Wireless Blockchain Networks: A Graph Convolutional Neural Network Approach
por: Ju, Yucong, et al.
Publicado: (2023) -
A Multiband Shared Aperture MIMO Antenna for Millimeter-Wave and Sub-6GHz 5G Applications
por: Hussain, Rifaqat, et al.
Publicado: (2022) -
Brain-Inspired Data Transmission in Dense Wireless Network
por: Kułacz, Łukasz, et al.
Publicado: (2021)