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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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Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6510-6514). IEEE. https://doi.org/10.1109/ICASSP48485.2024.10446065
Bakhtiari, A. A., Navid, H., Mehri, J. & Bochtis, D. (2011). Optimal route planning of agricultural field operations using ant colony optimization. Agricultural Engineering International: CIGR Journal, 13(4), 1-16. http://www.cigrjournal.org/index.php/Ejounral/article/viewFile/1939/1500
Bakhtiari, A. A., Navid, H., Mehri, J., Bochtis, D. & Abdi, R. (2013). Traversal Patterns for Capacitated Operations in Fields with Obstacle Areas. Paper presented at CIOSTA XXXV Conference, Billund, Denmark.
Bakhtiari, A., Navid, H., Mehri, J., Berruto, R. & Bochtis, D. D. (2013). Operations planning for agricultural harvesters using ant colony optimization. Spanish Journal of Agricultural Research, 11, 652-660. https://doi.org/10.5424/sjar/2013113-3865
Bak, T., Nielsen, J., Sørensen, C. A. G. & Have, H. (2004). A software framework for agricultural robotic systems development. In CIGR2004, Beijing, China. Collection of Extent Abstracts, Vol. 2, p. III-37. CD: ISBN 7-80167-707-2/ (pp. 537) https://www.researchgate.net/publication/280315917_A_software_framework_for_agricultural_robotic_systems_development
Bagheri, H., Katz, M., Fitzek, F. H. P., Lucani Rötter, D. E. & Pedersen, M. V. (2014). D2D-Based Mobile Clouds for Energy- and Spectral-Efficient Content Distribution. In S. Mumtaz & J. Rodriguez (Eds.), Smart Device to Smart Device Communication (pp. 237-280). Springer. https://doi.org/10.1007/978-3-319-04963-2
Asiminari, G., Moysiadis, V., Kateris, D., Busato, P., Wu, C., Achillas, C., Sørensen, C. G., Pearson, S. & Bochtis, D. (2024). Integrated Route-Planning System for Agricultural Robots. AgriEngineering, 6(1), 657-677. https://doi.org/10.3390/agriengineering6010039
Asiminari, G., Benos, L., Kateris, D., Busato, P., Achillas, C., Grøn Sørensen, C., Pearson, S. & Bochtis, D. (2025). Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices. AgriEngineering, 7(3), Article 75. https://doi.org/10.3390/agriengineering7030075
Andersen, B. H., Kristensen, E. F. & Jensen, H. F. (2005). Organic technology close to nature with seasonal production systems. In Proc. 15th IFOAM Organic World Congress. Sept. 20-23, Adelaide, Australia. http://www.ifoam2005.info/congress1.html
Andersen, H. E., Kronvang, B., Stjernholm, M., Hoffmann, C. C., Søndergaard, M., Heckrath, G., Rubæk, G. H., Kjærgaard, C., Jacobsen, O. H., Greve, M. H., Bøcher, P. K., Olesen, S. E., Iversen, B. V., Jørgensen, U., Børgesen, C. D., Olsen, P., Jensen, A. L. & Thysen, I. (2006). AMPHORA: Active Mapping of PHOsphorus Risk Areas for implementation of mitigation measures to reduce phosphorus losses to surface waters. In A. Tanyk, I. Öztürk, M. Gürel, M. S. Yazgan & E. Pehlivanoglu-Mantap (Eds.), 10th International Specialised Conference on Diffuse Pollution and Sustainable Basin Management
Andersen, B. H., Kristensen, E. F., Jensen, H. F., Persson, A., Jørgensen, R., Sørensen, C. A. G., Jensen, K. & Pedersen, J. M. (2007). An autonomous mobile robot for feeding outdoor pigs. In Ikke angivet (pp. 289-291). NJF, Nordic Association of Agricultural Scientists.
Andersen, H. E., Heckrath, G., Jensen, A. L., Kronvang, B., Rubæk, G. H., Kjærgaard, C. & Hoffmann, C. C. (2009). Et web-baseret P-indeks som miljøplanlægningsværktøj: del 2. Vand og Jord, (2), 49-52.
Anagnostis, A., Tagarakis, A. C., Kateris, D., Moysiadis, V., Sørensen, C. G., Pearson, S. & Bochtis, D. (2021). Orchard mapping with deep learning semantic segmentation. Sensors, 21(11), Article 3813. https://doi.org/10.3390/s21113813
Ampatzidis, Y., Vougioukas, S. & Bochtis, D. (2006). A Decomposition Framework for the Autonomous Navigation of Agricultural Vehicles. In Proceedings of the HAICTA International Conference, Information Systems in Sustainable Agriculture,Agroenvironment and Food Technology (Vol. II, pp. 55) http://ikee.lib.auth.gr/record/113631/files/Ampatzidis_HAICTA.pdf?version=1
Ampatzidis, Y. G., Vougioukas, S. G. & Bochtis, D. (2007). In-field Traceability During the Traditional Fruit Harvesting using RFID. In 5th Pan-Hellenic Conference of Agricultural Engineering (pp. 795-802)
Alimguzhin, V., Mari, F., Melatti, I., Tronci, E., Ebeid, E. S. M., Mikkelsen, S. A., Jacobsen, R. H., Gruber , J. K., Hayes, B., Huerta, F. & Prodanovic, M. (2015). A Glimpse of SmartHG Project Test-bed and Communication Infrastructure. In 2015 18th Euromicro Conference on Digital Systems Design (DSD) (pp. 225-232). IEEE. https://doi.org/10.1109/DSD.2015.106
Alexandridis, T. K., Topaloglou, C. A., Paradalis, I., Tsakoumis, G., Vogiatiz, M., Andrianopoulos, A., Takavakoglou, V., Vougioukas, S. G., Bochtis, D., Zalidis, G. C. & Silleos, N. G. (2008). Monitoring indicators for Mediterranean wetland and agricultural area using ALOS data. In Proceedings of ALOS Pricipal Investigators Symposium 2008, Rhodes, Greece http://ikee.lib.auth.gr/record/270725?ln=en#
Alam, M. & Zhang, Q. (2017). Designing optimum mother constellation and codebooks for SCMA. In M. Debbah, D. Gesbert & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017: ICC Article 7996539 IEEE. https://doi.org/10.1109/ICC.2017.7996539
Alam, M. & Zhang, Q. (2017). Performance Study of SCMA Codebook Design. I E E E Wireless Communications and Networking Conference. Proceedings. https://doi.org/10.1109/WCNC.2017.7925767
Alam, M. & Zhang, Q. (2018). Enhanced Compressed Sensing Based Multiuser Detection for Machine Type Communication. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (pp. 1-6). IEEE. https://doi.org/10.1109/WCNC.2018.8377222
Alam, M. & Zhang, Q. (2018). Sequence Block based Compressed Sensing Multiuser Detection for 5G. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings Article 8647750 IEEE. https://doi.org/10.1109/GLOCOM.2018.8647750
Alam, M. & Zhang, Q. (2019). Novel Codebook-based MC-CDMA with Compressive Sensing Multiuser Detection for Sporadic mMTC. In 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings: Non-Orthogonal Multiple Access Techniques for 5G Workshop Article 8644174 IEEE. https://doi.org/10.1109/GLOCOMW.2018.8644174
Alam, M. & Zhang, Q. (2019). QoS-aware NOMA with Sequence Block Compressed Sensing Multiuser Detection. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Article 8885427 IEEE. https://doi.org/10.1109/WCNC.2019.8885427
AI, S., Kolhe, M., Jiao, L., Ullveit-Moe, N. & Zhang, Q. (2015). Domestic Demand Predictions Considering Influence of External Environmental Parameters. In Proceedings of 2015 13th IEEE International Conference on Industrial Informatics (INDIN) (pp. 640-644). IEEE. https://doi.org/10.1109/INDIN.2015.7281810
Ai, H., Cao, Z., Lu, H., Chen, C., Ma, J., Zhou, P., Kim, T. K., Hui, P. & Wang, L. (2024). Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting. IEEE Transactions on Visualization and Computer Graphics, 30(5), 2734-2744. https://doi.org/10.1109/TVCG.2024.3372085
Aggelopoulou, A. D., Bochtis, D., Fountas, S., Koutsostathis, A. & Gentos, T. A. (2009). Flower spatial variability in an apple orchard. In C. Lokhorst, J. F. M. Huijsmans & R. P. M. de Louw (Eds.), JIAC2009: Book of abstracts (pp. 29). Wageningen Academic Publishers.
Aggelopoulou, A. D., Bochtis, D., Koutsostathis, A., Fountas, S., Gemtos, T. A. & Nanos, G. D. (2009). Flower spatial variability in an apple orchard: . In E. J. van Henten, D. Goense & C. Lokhorst (Eds.), Precision agriculture '09 (pp. 287-292). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-664-9
Aggelopoulou, A. D., Bochtis, D., Fountas, S., Swain, K. C., Gemtos, T. A. & Nanos, G. D. (2011). Yield prediction in apple orchards based on image processing. Precision Agriculture, 12(3), 448-456. https://doi.org/10.1007/s11119-010-9187-0