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Department of Electrical and Computer Engineering

Publications by Communication, Control & Automation

Are you looking for publications by Section of Communication, Control & Automation? On this page you can find all the publications made by the Section of Communication, Control & Automation - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Rasool, S. & Jacobsen, R. H. (2024). REC to ReCert: Introducing Re-Certification to Empower Prosumer-driven Certificate Aggregators. In 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024 (pp. 77-83). IEEE. https://doi.org/10.1109/SmartGridComm60555.2024.10738030

Rasool, S. & Jacobsen, R. H. (2025). Perspective Chapter: Leveraging Self-Sovereign Identity to Introduce ReCert: A Foundational Framework for Decentralized BCTE Solutions. In Blockchain - Pioneering the Web3 Infrastructure for an Intelligent Future InTechOpen. https://doi.org/10.5772/intechopen.1007156

Rasmussen, J. & Nørremark, M. (2006). Digital image analysis offers new possibilities in weed harrowing research. Zemdirbyste - Agriculture, 93(4), 155-165.

Rasmussen, J. & Nørremark, M. (2007). Forskning i ukrudtsharvning får nyt liv med digital billedbehandling. FØJO e-Nyt, Marts 2007. http://www.foejo.dk/nyhedsmail/marts2_2007/digi.html

Rasmussen, J. & Nørremark, M. (2007). Digital images for assessing soil cover of crop plants. Paper presented at 7th EWRS Workshop on Physical and Cultural Weed Control, Salem, Germany.

Rasmussen, J., Nørremark, M. & Bibby, B. M. (2007). Assessment of leaf cover and crop soil cover in weedharrowing research using digital images. Weed Research, 47, 299-310.

Rasmussen, J., Nørremark, M. & Bibby, B. M. (2008). New technologies call for new research priorities in physical weed control with low selectivity. Paper presented at International Weed Science Congress, Vancouver, Canada. http://orgprints.org/13688/

Rasmussen, J. & Nørremark, M. (2009). På vej mod den intelligente ukrudtsharve. Forskningsnytt om Oekologisk Landbruk i Norden, (1), 26-28.

Rasmussen, I. A. & Jensen, A. L. (2015). Open research repository for organic agriculture. In Proceedings of 10th International Conference on Open Repositories (OR2015) http://www.or2015.net/

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2014). Organic Eprints – Helping research results go to work. In G. Rahmann & U. Aksoy (Eds.), Building Organic Bridges: Proceedings of the 4th ISOFAR Scientific Conference at the Organic World Congress (Vol. 1, pp. 207-209). Johann Heinrich von Thünen-Institut. https://doi.org/10.3220/REP_20_1_2014

Rasmussen, I. A., Jensen, A. L., Jørgensen, M. S., Kristensen, H. & Moeskops, B. (2017). OK-Net Arable online knowledge platform. Abstract from 3rd Organic Innovation Days, Bruxelles, Belgium.

Rasmussen, I. A., Jensen, A. L., Jørgensen, M. S., Kristensen, H., Conder, M., Miceheloni, C. & Moeskops, B. (2017). OK-Net Arable online knowledge platform. In NJF Seminar 495, 4th Organic Conference: ORGANICS for tomorrow´s food systems (1 ed., Vol. 13, pp. 130-132). http://njf.nu/assets/Uploads/NJF-proceedings.pdf

Rasmussen, I. A., Jensen, A. L., Jørgensen, M. S., Kristensen, H., Conder, M., Micheloni, C. & Moeskops, B. (2017). OK-Net Arable online knowledge platform. In Innovative Research for Organic 3.0 Volume 2: Proceedings of the Scientific Track at the Organic World Congress 2017 (Volume 2 ed., Vol. Thünen Report 54, pp. 622-224).

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping Science Go To Work. Paper presented at Organic World Congress 2021, Rennes, France. https://orgprints.org/id/eprint/42172/1/OWC2020-SCI-239.pdf

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping science go to work. Poster session presented at Organic World Congress 2021, Rennes, France. https://orgprints.org/id/eprint/42339/2/OWC2020-SCI-239_ORGANIC%20EPRINTS%20-%20HELPING%20SCIENCE%20GO%20TO%20WORK_poster_RasmussenIA.pdf

Rask, C. D. & Lucani Rötter, D. E. (2024). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. In 2024 IEEE International Conference on Image Processing, ICIP 2024: Proceedings (pp. 1987-1993). IEEE. https://doi.org/10.1109/ICIP51287.2024.10647293

Rafiei Foroushani, M., Khooban, M. H., Afshari-Igder, M. & Boudjadar, J. (2020). A Novel Approach to Overcome the Limitations of Reliability Centered Maintenance Implementation on the Smart Grid Distance Protection System. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(2), 320-324. Article 8668570. https://doi.org/10.1109/TCSII.2019.2905639

Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2021). Energy Management of a Zero-Emission Ferry Boat with a Fuel Cell-Based Hybrid Energy System: Feasibility Assessment. IEEE Transactions on Industrial Electronics, 68(2), 1739-1748. https://doi.org/10.1109/TIE.2020.2992005

Rafiei Foroushani, M., Niknam, T., Aghaei, J., Shafie-khah, M. & P.S.Catalão, J. (2018). Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine. IEEE Transactions on Smart Grid, 9(6), 6961 - 6971. Article 8298533. https://doi.org/10.1109/TSG.2018.2807845

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Article 9380640. https://doi.org/10.1109/ACCESS.2021.3066300

Rafiei Foroushani, M., Raitoharju, J. & Iosifidis, A. (2023). Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access, 11, 2445 - 2477. https://doi.org/10.1109/ACCESS.2023.3234187

Rafiei Foroushani, M. & Iosifidis, A. (2023). Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. In 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191068

Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. In H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (Eds.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993

Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. [PhD thesis, Aarhus University]. Aarhus University.

Rafiei Foroushani, M., Asif, M. R., Nørremark, M. & Grøn Sørensen, C. (2025). Temporal and Spatial Analysis of Critical Field Points Using High-Resolution Soil Water Content Estimation Employing Remote Sensing and Deep-Learning. Abstract from EGU General Assembly 2025, Vienna, Austria. https://doi.org/10.5194/egusphere-egu25-18129

Rafiei, M., Asif, MR., Nørremark, M. & Sørensen, CAG. (2024). High-Resolution Near-Surface Soil Water Content Estimation, Using Remote Sensing Data and Deep Computer Vision Methods. In NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

Pullens, J. W. M., Olesen, J. E. & Grøn Sørensen, C., (2019). Model til udarbejdelse af en prognose for høstdatoer, No. 2019-760-001085, 2 p., Sept 25, 2019. https://doi.org/10.1016/j.fcr.2021.108085

Pullens, J. W. M., Sørensen, C. A. G. & Olesen, J. E. (2021). Temperature-based prediction of harvest date in winter and spring cereals as a basis for assessing viability for growing cover crops. Field Crops Research, 264, Article 108085. https://doi.org/10.1016/j.fcr.2021.108085

Prudencio, J., Aguiar, A. & Lucani Rötter, D. E. (2013). Physical Activity Recognition from Smartphone Embedded Sensors. In Pattern Recognition and Image Analysis (pp. 863-872). Springer. https://link.springer.com/chapter/10.1007%2F978-3-642-38628-2_102

Prior, R., Lucani Rötter, D. E., Phulpin, Y., Nistor, M. & Barros, J. (2014). Network Coding Protocols for Smart Grid Communications. IEEE Transactions on Smart Grid, 5(3), 1523-1531. https://doi.org/10.1109/TSG.2013.2288868

Presser, M., Zhang, Q., Bechmann, A. & Beliatis, M. (2018). The Internet of Things as Driver for Digital Business Model Innovation. In A. Aagaard (Ed.), Digital Business Models: Driving Transformation and Innovation (pp. 27-55). Springer. https://doi.org/10.1007/978-3-319-96902-2_2

Pinto, T., Lucani Rötter, D. E. & Medard, M. (2013). On Identifying which Intermediate Nodes Should Code in Multicast Networks. In IEEE International Conference on Communications 2013 (pp. 3376-3381) http://www.rle.mit.edu/ncrc/wp-content/uploads/2013/11/ieee_icc_2013.pdf

Phulpin, Y., Barros, J. & Lucani Rötter, D. E. (2011). Network Coding in Smart Grids. In Smart Grid Communications (SmartGridComm), 2011 IEEE International Conference on (pp. 49-54). IEEE. https://doi.org/10.1109/SmartGridComm.2011.6102374

Petersen, P. H., Jensen, J. E., Elbæk, J., Jensen, P. K. & Nørremark, M. (2018). Handlingsforslag. In M. Nørremark & P. H. Pedersen (Eds.), Sprøjte- og præcisionsteknologi for reduktion af jordbrugets forbrug af plantebeskyttelsesmidler: En status for udvikling, barrierer og forslag til videre handling (pp. 33-35). Miljø- og Fødevareministeriet. https://www2.mst.dk/Udgiv/publikationer/2018/02/978-87-93614-67-3.pdf

Pesonen, L., Sørensen, C. A. G., Nikkilä, R., Rydberg, A. & Green, O. (Eds.) (2008). Information and Communication Technology in Agriculture: NJF seminar No 411. NJF.

Pesonen, L., Sørensen, C. A. G., Suomi, P., Nikkilä, R., Nash, E. & Oetzel, K. (2009). Integration of Farm Management Information Systems to support real‐timemanagement decisions and compliance of management standards - FUTURE FARM: THEME 2 FOOD, AGRICULTURE AND FISHERIES, AND BIOTECHNOLOGY - Preliminary report on knowledge and information to be encoded. EU 7th framework programme.

Pesonen, L., Bochtis, D., Sørensen, C. A. G., Vougioukas, G. S., Suomi, P. & Fountas, S. (2010). FUTUREFARM: Functional requirements of the derived information system: Work package 3: “Analysis and specification of knowledge based farm management”.

Pesonen, L., Ronkainen, A. & Sørensen, C. A. G. (2011). FUTURE FARM: Final report and documentation specifications of FMIS: Work package 3: Analysis and specification of knowledge based farm management. http://www.futurefarm.eu

Perrucci, G. P., Fitzek, F. H. P., Zhang, Q. & Katz, M. (2009). Cooperative mobile web browsing. EURASIP Journal on Wireless Communications and Networking, 2009. https://doi.org/10.1155/2009/543054

Pereira, C., Aguiar, A. & Lucani Rötter, D. E. (2016). When are network coding based dynamic multi-homing techniques beneficial? Computer Networks, 108, 55-65. https://doi.org/10.1016/j.comnet.2016.08.002

Pereira, C., Aguiar, A. & Lucani Rötter, D. E. (2013). Dynamic Load Allocation for Multi-homing via Coded Packets. In IEEE Vehicular Technology Conference 2013 (pp. 1-5) http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6692525

Pedersen, J. & Kristensen, E. F. (2004). Fremtidens tørrings- og lageranlæg. Agrologisk, 2, 14-15.

Pedersen, S. M., Ørum, J. E., Fountas, S., Sørensen, C. A. G., Pesonen, L. & Dreger, F. (2008). FUTURE FARM: System description of proposed Farm Management Information System (FMIS): Report on work package 5.

Pedersen, S. S., Kristensen, E. F., Kristensen, H. O. & Petersen, J. (2009). Dansk, økologisk dyrkning af sojabønner til fødevare- og foderformål: Resultater 2008. Intern Rapport - Markbrug No. 22

Pedersen, S. M., Fountas, S., Sørensen, C. A. G., Pesonen, L., Basso, B., Ørum, J. E. & Blackmore, S. (2009). Potential savings and economic benefits in arable farming from better information management. In C. Lokhorst, J. F. M. Huijsmans & R. P. M. de Louw (Eds.), JIAC2009: Book of abstracts (pp. 254). Wageningen Academic Publishers.

Pedersen, S. M., Ørum, J. E., Sørensen, C. A. G., Fountas, S., Pesonen, L., Blackmore, B. S. & Basso, B. (2009). Potential savings and economic benefits in arable farming from better precision farming and information management. Paper presented at JIAC (Joint International Agricultural Conference) - 7th European Conference on Precision Agriculture, Wageningen, Netherlands. https://doi.org/10.3920/978-90-8686-664-9

Pedersen, S. S., Kristensen, E. F., Mejnertsen, P., Pedersen, N. P., Kristensen, H. O. & Petersen, J. (2010). Dansk, Økologisk dyrkning af sojabønner til fødevare- og foderformål: Resultater 2009. Aarhus University. Intern rapport, markbrug No. 25

Pedersen, H. H., Grøn Sørensen, C., Oudshoorn, F. W. & McPhee, J. E. (2013). User requirements for a Wide Span Tractor for Controlled Traffic Farming. Paper presented at CIOSTA XXXV Conference, Billund, Denmark.

Pedersen, H. H., Grøn Sørensen, C., Oudshoorn, F. W., Meyer, R., Kjeldahl, J. K. & Chamen, T. (2013). A Wide Span Tractor concept developed for efficient and environmental friendly farming. In T. Lang (Ed.), Land, Technik, Proceedings of AgEng 2013: Components and systems for better solutions (pp. 47-53). VDI Fachmedien GmbH.

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AU Engineering