Nicolaj Søndberg-Jeppesen

  • Selma Lagerløfs Vej 300, 2-2-14

    9220 Aalborg Ø

    Denmark

20032018
If you made any changes in Pure these will be visible here soon.

Fingerprint The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.

  • 2 Similar Profiles
Bayesian networks Engineering & Materials Science
Unsupervised learning Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Industrial plants Engineering & Materials Science
Health Engineering & Materials Science
Monitoring Engineering & Materials Science
Sensors Engineering & Materials Science
Welding Engineering & Materials Science

Network Dive into details by clicking on the dots.

Projects 2010 2010

Animated computer games

Zeng, Y., Jensen, F. V., Søndberg-Jeppesen, N. & Bangsø, O.

19/05/2010 → …

Project: Research

Research Output 2003 2018

  • 6 Article in proceeding
  • 1 Ph.D. thesis
  • 1 Conference abstract for conference
  • 1 Conference article in Journal

A component framework as an enabler for industrial cyber physical systems

Neto, L., Madsen, A. L., Søndberg-Jeppesen, N., Silva, R., Reis, J., McIntyre, P. & Gonçalves, G., 15 Jun 2018, Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. IEEE, p. 339-344 6 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Sensors
Dispensers
Bayesian networks
Fault detection
Software engineering

Applying object-oriented bayesian networks for smart diagnosis and health monitoring at both component and factory level

Madsen, A. L., Søndberg-Jeppesen, N., Sayed, M. S., Peschl, M. & Lohse, N., 2017, Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Proceedings. Springer, Vol. Part II. p. 132-141 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10351 LNCS).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Bayesian networks
Industrial plants
Health
Monitoring
Welding
1 Citation (Scopus)
26 Downloads (Pure)

Parameter learning algorithms for continuous model improvement using operational data

Madsen, A. L., Jeppesen, N. S., Jensen, F., Sayed, M. S., Moser, U., Neto, L., Reis, J. & Lohse, N., 2017, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 14th European Conference, ECSQARU 2017, Proceedings. Springer, p. 115-124 10 p. (Lecture Notes In Artificial Intelligence; No. 10369).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
Bayesian networks
Learning algorithms
Industrial robots
Software architecture
Robots

Opponent modeling in a PGM framework

Sønderberg-Madsen, N., Jensen, F. V. & Zeng, Y., 6 May 2013. 2 p.

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-review

Open Access
File

Press / Media

Forskning om spillets næste træk

Nicolaj Søndberg-Jeppesen

15/01/2010

1 item of media coverage

Press/Media: Press / Media