Dan Børge Jensen
Lektor
- Udgivet
A multi-dimensional dynamic linear model for monitoring slaughter pig production
Jensen, Dan Børge, Cornou, C., Toft, N. & Kristensen, Anders Ringgaard, 2015.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
A multi-dimensional dynamic linear model for monitoring growing pigs
Jensen, Dan Børge, 2015, Up to date with pig research: book of presentations of the 2nd CPH Pig seminar. Faculty of Health and Medical Sciences, University of Copenhagen, s. 55-58 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
- Udgivet
A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in Slaughter pigs
Jensen, Dan Børge, Toft, N. & Kristensen, Anders Ringgaard, 1 apr. 2017, I: Computers and Electronics in Agriculture. 135, s. 51-62 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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.Publikation: Bidrag til bog/antologi/rapport › Bidrag til rapport › Formidling
- Udgivet
A simulation study to evaluate the performance of five statistical monitoring methods when applied to different time-series components in the context of control programs for endemic diseases
Lopes Antunes, A. C., Jensen, Dan Børge, Halasa, T. & Toft, N., 2017, I: PLoS ONE. 12, 3, 0173099.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Automatic counting and positioning of slaughter pigs within the pen using a convolutional neural network and video images
Jensen, Dan Børge & Pedersen, L. J., 2021, I: Computers and Electronics in Agriculture. 188, 106296.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
- Udgivet
Automatic monitoring and detection of tail-biting behavior in groups of pigs using video-based deep learning methods
Hakansson, Franziska & Jensen, Dan Børge, 2023, I: Frontiers in Veterinary Science. 9, 1099347.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, I: Journal of Dairy Science. 99, 9, s. 7344-7361 18 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Bayesian prediction of bacterial growth temperature range based on genome sequences.
Jensen, Dan Børge, Vesth, T. C., Hallin, P. F., Pedersen, A. G. & Ussery, D. W., 2012, I: BMC Genomics. Volume 13 Supplement 7Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Bayesian prediction of mastitis using sensor data routinely collected in dairy herds
Jensen, Dan Børge & Devries, A., aug. 2015, Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science. s. 297 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
Bayesian prediction of microbial oxygen requirement
Jensen, Dan Børge & Ussery, D. W., 2013, I: F1000Research. 2, 184.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Combining a multivariate dynamic linear model and a naive Bayesian classifier for mastitis detection
Jensen, Dan Børge & De Vries, A., 2016. 1 s.Publikation: Konferencebidrag › Poster › Forskning › fagfællebedømt
- Udgivet
Combining a multivariate dynamic linear model with artificial neural networks for detecting diarrhea in slaughter pigs
Jensen, Dan Børge, Kristensen, Anders Ringgaard & Pedersen, L. J., feb. 2017.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
- Udgivet
Comparison of architectures and training strategies for convolutional neural networks intended for location-specific counting of slaughter pigs
Jensen, Dan Børge, Vestbjerg Larsen, M. L. & Pedersen, L. J., 2019, Precision Livestock Farming 2019 : Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019. O'Brien, B., Hennessy, D. & Shalloo, L. (red.). s. 476-483 8 s. (Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Comparison of strategies for combining dynamic linear models with artificial neural networks for detecting diarrhea in slaughter pigs
Jensen, Dan Børge & Kristensen, Anders Ringgaard, okt. 2016, I: Journal of Animal Science. 94, Supplement 5, s. 84-84 1 s., 0173.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Comparison of time-series models for monitoring temporal trends in endemic diseases sero-prevalence: Lessons from porcine reproductive and respiratory syndrome in Danish swine herds
Lopes Antunes, A. C. & Jensen, Dan Børge, 2019, I: BMC Veterinary Research. 15, 1, 8 s., 231.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Describing temporal variation in reticuloruminal pH using continuous monitoring data
Denwood, Matt, Kleen, J. L., Jensen, Dan Børge & Jonsson, N. N., 2018, I: Journal of Dairy Science. 101, 1, s. 233-245 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Different reticuloruminal pH metrics of high-yielding dairy cattle during the transition period in relation to metabolic health, activity, and feed intake
Heirbaut, S., Jensen, Dan Børge, Jing, X. P., Stefańska, B., Lutakome, P., Vandaele, L. & Fievez, V., 2022, I: Journal of Dairy Science. 105, 8, s. 6880-6894 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dynamic forecasting of individual cow milk yield in automatic milking systems
Jensen, Dan Børge, van der Voort, M. & Hogeveen, H., nov. 2018, I: Journal of Dairy Science. 101, 11, s. 10428-10439 12 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
Dynamic monitoring of weight data at the pen vs at the individual level
Jensen, Dan Børge, Toft, N., Kristensen, Anders Ringgaard & Cornou, C., aug. 2014. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
- Udgivet
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 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- Udgivet
Effect of De-noising by Wavelet Filtering and Data Augmentation by Borderline SMOTE on the Classification of Imbalanced Datasets of Pig Behavior
Jin, M., Wang, C. & Jensen, Dan Børge, 2021, I: Frontiers in Animal Science. 2, 666855.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Effect of head and tail rope-assisted recovery of horses after elective and emergency surgery under general anaesthesia
Nicolaisen, A. S. K., Bendix Nygaard, A., Christophersen, M. T., Jensen, Dan Børge & Lindegaard, Casper, 2022, I: Equine Veterinary Education. 34, 3, s. 126-133Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 44182188
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The intelligent pig barn
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
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Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
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Temperature as a predictor of fouling and diarrhea in Slaughter pigs
Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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