Dan Børge Jensen
Associate Professor
- 2016
- Published
Comparison of strategies for combining dynamic linear models with artificial neural networks for detecting diarrhea in slaughter pigs
Jensen, Dan Børge & Kristensen, Anders Ringgaard, Oct 2016, In: Journal of Animal Science. 94, Supplement 5, p. 84-84 1 p., 0173.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Automatic learning and pattern recognition using sensor data in livestock farming
Jensen, Dan Børge, 1 Jul 2016, Centre for Herd-oriented Education, Research and Development, Department of Large Animal Sciences, University of Copenhagen. 159 p.Research output: Book/Report › Ph.D. thesis › Research
- Published
Early warning of diarrhea and pen fouling in growing pigs using sensor-based monitoring
Jensen, Dan Børge, Toft, N. & Kristensen, Anders Ringgaard, Jun 2016. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Dynamic generalized linear models for monitoring endemic diseases: moving beyond univariate process monitoring control algorithms
Lopes Antunes, A. C., Jensen, Dan Børge, Halasa, T. & Toft, N., Mar 2016. 11 p.Research output: Contribution to conference › Paper › Research › peer-review
- Published
A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs
Jensen, Dan Børge, 3 Feb 2016, Up to date with pig: Book of presentations of the 3rd CPH Pig seminar.Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Communication
- Published
Temperature as a predictor of fouling and diarrhea in slaughter pigs
Jensen, Dan Børge & Kristensen, Anders Ringgaard, Jan 2016, In: Livestock Science. 183, p. 1-3 3 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis
Jensen, Dan Børge, Hogeveen, H. & De Vries, A., 2016, In: Journal of Dairy Science. 99, 9, p. 7344-7361 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Combining a multivariate dynamic linear model and a naive Bayesian classifier for mastitis detection
Jensen, Dan Børge & De Vries, A., 2016. 1 p.Research output: Contribution to conference › Poster › Research › peer-review
ID: 44182188
Most downloads
-
296
downloads
The intelligent pig barn
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
Published -
166
downloads
Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
165
downloads
Temperature as a predictor of fouling and diarrhea in Slaughter pigs
Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
Published