Publications from Technical Sciences

Follow the latest publications from the Faculty of Technical Sciences. The overview shows the publications with the latest at the top.

Sort by: Date | Author | Title

Donfrancesco, V., Ciucci, P., Salvatori, V., Benson, D., Andersen, L. W., Bassi, E., Blanco, J. C., Boitani, L., Caniglia, R., Canu, A., Capitani, C., Chapron, G., Czarnomska, S. D., Fabbri, E., Galaverni, M., Galov, A., Gimenez, O., Godinho, R., Greco, C. ... Mukherjee, N. (2019). Unravelling the scientific debate on how to address wolf-dog hybridization in Europe. Frontiers in Ecology and Evolution, 7(May), Article 175. https://doi.org/10.3389/fevo.2019.00175

Govdeli, Y., Moheed Bin Muzaffar, S., Raj, R., Elhadidi, B. & Kayacan, E. (2019). Unsteady aerodynamic modeling and control of pusher and tilt-rotor quadplane configurations. Aerospace Science and Technology, 94, Article 105421. https://doi.org/10.1016/j.ast.2019.105421

Christiansen, P. H., Kragh, M. F., Brodskiy, Y. & Karstoft, H. (2019). UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor. arxiv.org. https://arxiv.org/abs/1907.04011

Krogh, M. A., Enemark, P. S. & Foldager, L. (2019). Unsupervised outlier detection in questionnaire data. Poster session presented at Annunal Conference of the Society for Veterinary Epidemiology and Preventive Medicine (SVEPM), Utrecht, Netherlands.

EFSA Panel Plant Hlth PLH (2019). Update of the Scientific Opinion on the risks to plant health posed by Xylella fastidiosa in the EU territory. EFSA Journal, 17(5), Article e05665. https://doi.org/10.2903/j.efsa.2019.5665

Basart, S., Benedictow, A. M. K., Bennouna, Y., Blechschmidt, A.-M., Chabrillat, S., Christophe, Y., Cuevas, E., Eskes, H. J., Hansen, K. M., Jorba, O., Kapsomenakis, J., Langerock, B., Pay, T., Richter, A., Sudarchikova, N., Schulz, M., Wagner, A. & Zerefos, C. (2019). Upgrade verification note for the CAMS near-real time global atmospheric composition service: Evaluation of the e-suite for the CAMS upgrade of July 2019.

Basart, S., Benedictow, A. M. K., Bennouna, Y., Blechschmidt, A.-M., Chabrillat, S., Christophe, Y., Cuevas, E., Eskes, H. J., Hansen, K. M., Jorba, O., Kapsomenakis, J., Langerock, B., Pay, T., Richter, A., Sudarchikova, N., Schulz, M., Wagner, A. & Zerefos, C. (2019). Upgrade verification note for the CAMS near-real time global atmospheric composition service: Quick-look evaluation of the e-suite experiments h4x1, h4xd (2017); CAMS upgrade July 2019.

Goodsite, M. E., Hertel, O., Johnson, M. S. & Jørgensen, N. R. (2019). Urban air quality: sources and concentrations. In R. A. Meyers (Ed.), Encyclopedia of sustainability science and technology Springer. https://doi.org/10.1007/978-1-4939-2493-6

Kristensen, M. H. (2019). Urban building energy modelling for retrofit analysis under uncertainty. Aarhus University. https://doi.org/10.7146/aul.301.208

Fox, A. D. (2019). Urban Geese - looking to North America for experiences to guide management in Europe? Wildfowl, 69, 3-27. https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2688

Jensen, M., Montcalm, A. & Elser-Gravesen, D. (2019). Urter og bær kan konservere kød. Gartner Tidende, 135(2), 40.

Ma, P., Lund, M. S., Aamand, G. P. & Su, G. (2019). Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population. Journal of Dairy Science, 102(8), 7237-7247. https://doi.org/10.3168/jds.2018-15815

Amorim Franchi, G., Herskin, M. S. & Jensen, M. B. (2019). Use of a feed frustration test to assess level of hunger in dairy cows subjected to various dry-off management routines. In R. C. Newberry & B. O. Braastad (Eds.), Proceedings of the 53rd Congress of the ISAE: Animal Lives Worth Living (pp. 112-112). Wageningen Academic Publishers. https://www.applied-ethology.org/ISAE_Meetings.html

Kristensen, P. K., Ehrenstein, V., Shetty, N. & Pedersen, A. B. (2019). Use of anti-osteoporosis medication dispensing by patients with hip fracture: could we do better? Osteoporosis International, 30(9), 1817-1825. https://doi.org/10.1007/s00198-019-05066-8

Chu, T. T., Bastiaansen, J. WM., Berg, P., Rome, H. J. S., Marois, D., Henshall, J. & Jensen, J. (2019). Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments. Genetics Selection Evolution, 51, Article 50. https://doi.org/10.1186/s12711-019-0493-3

Chu, T. T., Bastiaansen, J. WM., Berg, P. & Komen, H. (2019). Use of genomic information to improve accuracy of prediction from group records. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Jensen, P. K. (2019). Use of integrated weed management tools in crop rotations with grass seed production. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 69(3), 209-218 . https://doi.org/10.1080/09064710.2018.1530295

Vagndorf, N., Sarup, P. M., Orabi, J., Andersen, J. R., Hovmøller, M. S., Thach, T., Rodriguez Algaba, J., Jørgensen, L. N. & Jahoor, A. (2019). Use of MAGIC and NAM populations in wheat pre-breeding. Abstract from 1st International Wheat Congress, Saskatoon, Canada. https://venuewest-my.sharepoint.com/:p:/p/congress/EWfzzwXlCORPtu3MHxF3_8cBVQuyKUl6CAJs9cxeN4oMlQ?e=VPoDuG

Ali, E., Nielsen, S. D.-H., Ebd-El Aal, S., Saleh, E. & LaPointe, G. (2019). Use of Mass Spectrometry to Profile Peptides in Whey Protein Isolate Medium Fermented by Lactobacillus helveticus LH-2 and Lactobacillus acidophilus La-5. Frontiers in nutrition, 6, Article 152. https://doi.org/10.3389/fnut.2019.00152

Stæhr, P. A., Groom, G. B., Krause-Jensen, D., Hansen, L. B., Huber, S., Jensen, L. Ø., Rasmussen, M. B., Upadhyay, S. & Ørberg, S. B. (2019). Use of remote sensing technologies for monitoring chlorophyll a and submerged aquatic vegetation in Danish coastal waters: Part of the RESTEK project (Brug af remote sensing teknologier til opgørelse af klorofyl-a koncentrationer og vegetationsudbredelse i danske kystvande). Aarhus University, DCE - Danish Centre for Environment and Energy. Technical Report from DCE – Danish Centre for Environment and Energy No. 139 http://dce2.au.dk/pub/TR139.pdf

Gao, H., Nielsen, B., Su, G., Madsen, P., Jensen, J., Christensen, O. F., Ostersen, T. & Shirali, M. (2019). Use of repeated group measurements with drop out animals for genetic analysis. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Gao, H., Nielsen, B., Su, G., Madsen, P., Jensen, J., Christensen, O. F., Ostersen, T. & Shirali, M. (2019). Use of Repeated Group Measurements with Drop Out Animals for Variance Component Estimation and Genetic Evaluation: A Simulation Study. G3: Genes, Genomes, Genetics, 9(9), 2935-2940. https://doi.org/10.1534/g3.119.400484

Damgaard, C., Strandberg, M. T., Kjær, C. & Sørensen, P. B. (2019). Use "Risk of system failure" rather than additive aggregation methods of indicators when assessing habitat quality. Ecological Indicators, 107, Article 105564. https://doi.org/10.1016/j.ecolind.2019.105564

Badry, A., Palma, L., Beja, P., Ciesielski, T. M., Dias, A., Lierhagen, S., Jenssen, B. M., Sturaro, N., Eulaers, I. & Jaspers, V. L. B. (2019). Using an apex predator for large-scale monitoring of trace element contamination: Associations with environmental, anthropogenic and dietary proxies. Science of the Total Environment, 676, 746-755. https://doi.org/10.1016/j.scitotenv.2019.04.217

Sonne, C. & Alstrup, A. K. O. (2019). Using citizen science to speed up plastic collection and mapping of urban noise: Lessons learned from Denmark. Marine Pollution Bulletin, 149, Article 110591. https://doi.org/10.1016/j.marpolbul.2019.110591

Andersen, P. S., Andersen, E., Graversgaard, M., Christensen, A. A., Vejre, H. & Dalgaard, T. (2019). Using landscape scenarios to improve local nitrogen management and planning. Journal of Environmental Management, 232, 523-530. https://doi.org/10.1016/j.jenvman.2018.11.023

Thers, H., Bøcher, P. K. & Svenning, J. C. (2019). Using lidar to assess the development of structural diversity in forests undergoing passive rewilding in temperate Northern Europe. PeerJ, 6, Article 6219. https://doi.org/10.7717/peerj.6219

Taghizadeh-Toosi, A. (2019). Using long-term field experiments to improve soil C turnover models. Soil Science Society of America annual meeting, San Diego, USA, January 2019.

Hammami, H., Mota, R. R., Vanderick, S., Naderi, S., Bastin, C., Gengler, N. & GplusE Consortium (2019). Using milk MIR spectra to identify candidate genes associated with climate--smart traits in cattle. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Vol. 25, pp. 607). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-890-2

Cao, L., Fox, A. D., Wang, X. & Meng, F. (2019). Using mobile phone technology and satellite technology to catch up on 100 years of missing data: the rush to conserve the wintering waterbirds of the Yangtze River Floodplain. 25. Abstract from International Symposium on developing effective coordinated monitoring of East Asian Waterbirds in the 21st Century, Beijing, China.

Li, C., Li, H., Li, J., Yuping, L., Li, C., Manevski, K. & Shen, Y. (2019). Using NDVI Percentiles to Monitor Real-Time Crop Growth. Computers and Electronics in Agriculture, 162, 357-363. https://doi.org/10.1016/j.compag.2019.04.026

Devos, Y., Craig, W., Devlin, R. H., Ippolito, A., Leggatt, R. A., Romeis, J., Shaw, R., Svendsen, C. & Topping, C. J. (2019). Using problem formulation for fit-for-purpose pre-market environmental risk assessments of regulated stressors. EFSA Journal, 17(S1), Article e170708. https://doi.org/10.2903/j.efsa.2019.e170708

Naeemipour Younesi, H., Shariati, M. M., Zerehdaran, S., Jabbari Nooghabi, M. & Løvendahl, P. (2019). Using quantile regression for fitting lactation curve in dairy cows. Journal of Dairy Research, 86(1), 19-24. https://doi.org/10.1017/S0022029919000013

Clausen, K. K., Balsby, T. J. S., Goma, V. & Madsen, J. (2019). Using re-sighting data to estimate population size of Pink-footed Geese (Anser brachyrhynchus). Ornis Fennica, 96(3), 112-123.

Vogdrup-Schmidt, M., Olsen, S. B., Dubgaard, A., Kristensen, I. T., Jørgensen, L. B., Normander, B., Ege, C. & Dalgaard, T. (2019). Using spatial multi-criteria decision analysis to develop new and sustainable directions for the future use of agricultural land in Denmark. Ecological Indicators, 103, 34-42. https://doi.org/10.1016/j.ecolind.2019.03.056

Damgaard, C. & Irvine, K. M. (2019). Using the beta distribution to analyse plant cover data. Journal of Ecology, 107(6), 2747–2759. https://doi.org/10.1111/1365-2745.13200

Hansen, N. P., Lund, P., Weisbjerg, M. R. & Larsen, M. (2019). Using the oro-ruminal FLORA® device, volatile fatty acid proportions but not concentrations and pH were valid in rumen fluid samples. Advances in Animal Biosciences, 10(3), 639-639. Article P 189. https://www.cambridge.org/core/journals/advances-in-animal-biosciences/article/proceedings-of-the-xiiith-international-symposium-on-ruminant-physiology-isrp-2019/7D464B8882B4D5304683797665CD9E5E

Stepien, E. N., Olsen, M. T., Egemose, H. D., Midtiby, H. S., Torres Ortiz, S., Højer-Kristensen, J. & Wahlberg, M. (2019). Using UAVs for morphometric measurements of harbour porpoises (Phocoena phocoena). Poster session presented at Nordic Remote Sensing, Aarhus, Denmark.

Stepien, E. N., Olsen, M. T., Egemose, H. D., Midtiby, H., Torres Ortiz, S., Kristensen, J. H. & Wahlberg, M. (2019). Using UAVs for morphometric measurements of harbour porpoises (Phocoena phocoena).. Abstract from World Marine Mammal Conference, Barcelona, Spain.

Victoria, M. & Bruun Andresen, G. (2019). Using validated reanalysis data to investigate the impact of the PV system configurations at high penetration levels in European countries. Progress in Photovoltaics, 27(7), 576-592. https://doi.org/10.1002/pip.3126

Peng, Y., Roell, Y. E., Møller, A. B., Adhikari, K., Beucher, A. M., Greve, M. B. & Greve, M. H. (2019). Using Vis-NIR and Ancillary Data to Identify and Map Terron in Denmark. Poster session presented at Joint Workshop for Digital Soil Mapping and GlobalSoilMap, Santiago, Chile.

Pedersen, T. F. (2019). Utilization of Energy and Protein in Lactating Sows. Aarhus Universitet.

Thorsteinsson, M. M., Kjeldsen, A. M., Martinussen, H. & Vestergaard, M. (2019). Vær ekstra opmærksom på slagtekalvene i overgangsperioden omkring fravænning – færre sygdomme giver bedre slagtekalve. Landbrugsinfo, KvægInfo, 02.12.2019, Article 2589.

Henriksen, J. C. & Munksgaard, L. (2019). Validation of AfiTagII, a device for automatic measuring of lying behaviour in Holstein and Jersey cows on two different bedding materials. Animal, 13(3), 617-621. https://doi.org/10.1017/S1751731118001623

Soyeurt, H., Froidmont, E., Dufrasne, I., Wang, Z., Gengler, N., Dehareng, F., GplusE Consortium & Grelet, C. (2019). Validation of the prediction of body weight from dairy cow characteristics and milk MIR spectra. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Vol. 25, pp. 606). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-890-2

Bennouna, Y., Schulz, M., Christophe, Y., Eskes, H. J., Basart, S., Benedictow, A. M. K., Blechschmidt, A.-M., Chabrillat, S., Clark, H., Cuevas, E., Hansen, K. M., Im, U., Kapsomenakis, J., Langerock, B., Petersen, K., Richter, A., Sudarchikova, N., Thouret, V., Wagner, A. ... Zerefos, C. (2019). Validation report for the CAMS global reanalyses of aerosols and reactive trace gases, years 2003 - 2017. http://atmosphere.copernicus.eu/

Christophe, Y., Bennouna, Y., Schulz, M., Eskes, H. J., Basart, S., Benedictow, A. M. K., Blechschmidt, A.-M., Chabrillat, S., Clark, H., Cuevas, E., Hansen, K. M., Im, U., Kapsomenakis, J., Langerock, B., Petersen, K., Richter, A., Sudarchikova, N., Thouret, V., Wagner, A. ... Zerefos, C. (2019). Validation report of the CAMS global Reanalysis of aerosols and reactive gases, years 2003-2018. http://atmosphere.copernicus.eu/

Schultz, M., Christophe, Y., Ramonet, M., Wagner, A., Eskes, H. J., Basart, S., Benedictow, A. M. K., Bennouna, Y., Blechschmidt, A.-M., Chabrillat, S., Cuevas, E., El-Yazidi, A., Flentje, H., Hansen, K. M., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N. ... Zerefos, C. (2019). Validation report of the CAMS near-real-time global atmospheric composition service: December 2018 -February 2019. http://atmosphere.copernicus.eu/quarterly_validation_reports

Christophe, Y., Ramonet, M., Wagner, A., Schulz, M., Eskes, H. J., Basart, S., Benedictow, A. M. K., Bennouna, Y., Blechschmidt, A.-M., Chabrillat, S., Cuevas, E., El-Yazidi, A., Flentje, H., Hansen, K. M., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N. ... Zerefos, C. (2019). Validation report of the CAMS near-real-time global atmospheric composition service: March - May 2019. http://atmosphere.copernicus.eu/quarterly_validation_reports

Wagner, A., Schulz, M., Christophe, Y., Ramonet, M., Eskes, H. J., Basart, S., Benedictow, A. M. K., Bennouna, Y., Blechschmidt, A.-M., Chabrillat, S., Clark, H., Cuevas, E., Flentje, H., Hansen, K. M., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N. ... Zerefos, C. (2019). Validation report of the CAMS near-real-time global atmospheric composition service. September - November 2018. http://atmosphere.copernicus.eu/quarterly_validation_reports

Displaying results 16701 to 16750 out of 75872

335

Revised 10.12.2025

TECH web support