"Artificial intelligence-based Monte-Carlo numerical simulation of ..."

Ghulam Moeen Uddin et al. (2019)

> Home

Details and statistics

DOI: 10.1017/S0890060419000039

access: closed

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/aiedam/UddinAKFNHZK19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/aiedam/UddinAKFNHZK19
Ghulam Moeen Uddin, Syed Muhammad Arafat, Ali Hussain Kazim, Muhammad Farhan, Sajawal Gul Niazi, Nasir Hayat, Ibrahim Zeid, Sagar V. Kamarthi:
Artificial intelligence-based Monte-Carlo numerical simulation of aerodynamics of tire grooves using computational fluid dynamics. Artif. Intell. Eng. Des. Anal. Manuf. 33(3): 302-316 (2019)

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.