"Deep Learning based Efficient Trajectory Planning and Sharing for Aerial ..."

Tushar Vrind et al. (2021)

> Home

Details and statistics

DOI: 10.1109/WF-IOT51360.2021.9595576

access: closed

type: Conference or Workshop Paper

metadata version: 2021-11-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/wf-iot/VrindRPD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wf-iot/VrindRPD21
Tushar Vrind, Sudharshan Rao, Lalit Pathak, Debabrata Das:
Deep Learning based Efficient Trajectory Planning and Sharing for Aerial Cells in mMTC Networks. WF-IoT 2021: 165-170

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.