If you made any changes in Pure these will be visible here soon.


Dive into the research topics where Maxim Khomiakov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Deep Learning for Automatic Railway Maintenance

    Hovad, E., Wix, T., Khomiakov, M., Vassos, G., da Silva Rodrigues, A. F., de Miguel Tejada, A. & Clemmensen, L. H., 2021, Intelligent Quality Assessment of Railway Switches and Crossings. Springer, p. 207-228 (Springer Series in Reliability Engineering).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review