Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Improved Accuracy in Predicting the Best Sensor Fusion Architecture for ..."

Erik Molino-Minero-Re et al. (2021)

> Home

Details and statistics

DOI: 10.3390/S21217007

access: open

type: Journal Article

metadata version: 2021-12-15

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/Molino-Minero-Re21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/Molino-Minero-Re21
Erik Molino-Minero-Re, Antonio A. Aguileta, Ramón F. Brena, Enrique Garcia-Ceja:
Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains. Sensors 21(21): 7007 (2021)

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.