Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Application of Convolutional and Recurrent Neural Networks for Buried ..."

Mahdi Moalla et al. (2020)

> Home

Details and statistics

DOI: 10.1109/TGRS.2020.2978763

access: closed

type: Journal Article

metadata version: 2021-09-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tgrs/MoallaFKB20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tgrs/MoallaFKB20
Mahdi Moalla, Hichem Frigui, Andrew Karem, Abdelhamid Bouzid:
Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data. IEEE Trans. Geosci. Remote. Sens. 58(10): 7022-7034 (2020)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.