Inferring the most probable maps of underground utilities using Bayesian mapping model

Muhammad Bilal, Wasiq Khan, Jennifer Muggleton, Emiliano Rustighi, Hugo Jenks, Steve R. Pennock, Philip Atkins, Anthony Cohn

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
238 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Inferring the most probable maps of underground utilities using Bayesian mapping model'. Together they form a unique fingerprint.

Earth & Environmental Sciences

Physics & Astronomy