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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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Bochtis, D., Vougioukas, S., Ampatzidis, Y. G. & Tsatsarelis, C. A. (2007). A Decision Support System Development for the Evaluation of Machinery Management Systems. In 5th Pan-Hellenic Conference of Agricultural Engineering (pp. 821-828)

Bochtis, D. (2012). Concepts and methods for scheduling field machinery operations. In H. M. Khodr (Ed.), Scheduling Problems and Solutions (pp. 179-191). Nova Science Publishers. https://www.novapublishers.com/catalog/product_info.php?products_id=20366

Bochtis, D., Sørensen, C. A. G., Jørgensen, R. N., Nørremark, M., Hameed, I. A. & Swain, K. C. (2011). Robotic weed monitoring. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61(3), 202-208. https://doi.org/10.1080/09064711003796428

Bochtis, D. D., Grøn Sørensen, C., Busato, P. & Berruto, R. (2013). Benefits from optimal route planning based on B-patterns. Biosystems Engineering, 115(4), 389-395. https://doi.org/10.1016/j.biosystemseng.2013.04.006

Bochtis, D. D., Dogoulis, P., Gemtos, T., Busato, P., Grøn Sørensen, C. & Berruto, R. (2013). A flow-shop problem formulation of biomass handling operations scheduling. Computers and Electronics in Agriculture, 91, 49-56. https://doi.org/10.1016/j.compag.2012.11.015

Bochtis, D. (2013). Sustainable Agrifood Production and Distribution through Innovative Technologies and Operational Research Applications. Abstract from Operational Research Society Annual Conference, Exeter, United Kingdom.

Bochtis, D. (2013). Satellite navigation: a key enabler for sustainable agricultural production systems. In D. A. Gertsis (Ed.), Precision agriculture - a tool to implement sustainability aspects of the new Common Agricultural Policy (CAP) in 2014-2020: Book of abstracts (pp. 50) http://afs.edu.gr/files/02_pdf/ESNA_bookofabstracts_final.pdf

Bochtis, D. (2013). Bio-production management in the era of automation and robotics. In Proceedings of FABE 2013: International Conference on Food and Biosystems Engineering (Vol. 2, pp. 603-609).

Bochtis, D. & Grøn Sørensen, C. (2014). Special Issue: Operations management. Biosystems Engineering, 120. https://doi.org/10.1016/j.biosystemseng.2014.02.011

Bochtis, D. D., Grøn Sørensen, C., Green, O., Ibrahim, I. A. F. A. H. & Berruto, R. (2014). Design of a wildlife avoidance planning system for autonomous harvesting operations. International Journal of Advanced Robotic Systems, 11(1), Article 6. https://doi.org/10.5772/57442

Bochtis, D. D., Grøn Sørensen, C. & Busato, P. (2014). Advances in agricultural machinery management: A review. Biosystems Engineering, 126, 69-81. https://doi.org/10.1016/j.biosystemseng.2014.07.012

Bochtis, D. D., Grøn Sørensen, C. & Berruto, R. (2014). Editorial of special issue: Agrifood and biomass supply chains. Agricultural Engineering International: CIGR Journal, 2014(SPEC. ISSUE). http://www.scopus.com/inward/record.url?scp=84901020425&partnerID=8YFLogxK

Bochtis, D., Griepentrog, H. W., Vougioukas, S., Busato, P., Berruto, R. & Zhou, K. (2015). Route planning for orchard operations. Computers and Electronics in Agriculture, 113, 51-60. https://doi.org/10.1016/j.compag.2014.12.024

Bochtis, D., Benos, L., Lampridi, M., Marinoudi, V., Pearson, S. & Sørensen, C. G. (2020). Agricultural workforce crisis in light of the COVID-19 pandemic. Sustainability, 12(19), Article 8212. https://doi.org/10.3390/su12198212

Bochtis, D., Sørensen, C. A. G. & Kateris, D. (2018). Operations management in agriculture. Elsevier. https://doi.org/10.1016/C2015-0-06290-6

Bochtis, D. D., Sørensen, C. G., Fountas, S., Moysiadis, V. & Pardalos, P. M. (2022). Preface. Springer Optimization and its Applications, 184, v-xiii.

Boadas, L., Cataldo, G., Harima, K. & Lucani Rötter, D. E. (2006). The use of ICT as supporting tool in Basic Electronics Laboratory for engineers: experience of its practical application. In Proceedings of the REV2006: Conference International Remote Engineering and Virtual Instrumentation Symposium, 2006 https://doi.org/10.13140/RG.2.1.5152.4640

Blackmore, B. S., Fountas, S., Vougioukas, S., Tang, L., Sørensen, C. A. G. & Jørgensen, R. (2004). A method to define agricultural robot behaviours. In Proc. int. conf. on Mechatronics & Robotics (MECHROB) 2004, Aachen, Germany. Vol. III (pp. 1197-1200)

Berruto, R., Busato, P., Bochtis, D. & Sørensen, C. A. G. (2010). Sustainability Evaluation of Manure Distribution with Dynamic Simulation Model. Paper presented at ASABE Annual International Meeting, 2010, Pittsburgh, United States. http://asae.frymulti.com/azdez.asp?search=1&JID=5&AID=29877&CID=pitt2010&T=2

Berruto, R., Busato, P. & Bochtis, D. (2011). Biogas slurry logistics assessment: tanker vs. umbilical system. 2132-2135. Paper presented at 19th European Biomass Conference, Berlin, Germany.

Berruto, R., Buzato, P. B., Bochtis, D. & Grøn Sørensen, C. (2013). Comparison of distribution systems for biogas plant residual. Biomass & Bioenergy, 52, 139-150. https://doi.org/10.1016/j.biombioe.2013.02.030

Berruto, R., Busato, P. & Bochtis, D. (2013). Expert system with cloud database for optimal management of fruit and vegetable traceability. In Proceedings of FABE 2013: International Conference on Food and Biosystems Engineering (Vol. 2, pp. 581-582)

Benos, L., Grøn Sørensen, C. & Bochtis, D. (2022). Field Deployment of Robotic Systems for Agriculture in Light of Key Safety, Labor, Ethics and Legislation Issues. Current Robotics Reports, 3(2), 49-56. https://doi.org/10.1007/s43154-022-00074-9

Basso, B., Fountas, S., Sartori, L., Pedersen, S. M., Sørensen, C. A. G., Pesonen, L., Werner, A. & Blackmore, S. (2009). Crop models provide the 'desired extra information' to reduce farmer's risk in decision making: the case of nitrogen application rates. In C. Lokhorst, J. F. M. Huijsmans & R. P. M. de Louw (Eds.), JIAC2009: Book of abstracts (pp. 255). Wageningen Academic Publishers. https://brill.com/edcollchap/book/9789086866755/BP000256.xml

Basso, B., Fountas, S., Sartori, L., Cafiero, G., Pedersen, S. M., Sørensen, C. A. G., Pesonen, L., Werner, A. & Blackmore, S. (2009). Farmer's risk in decision making: the case of nitrogen application rates. 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

Basso, B., Sartori, L., Cammarano, D., Fiorentino, C., Grace, P. R., Fountas, S. & Grøn Sørensen, C. (2012). Environmental and economic evaluation of N fertilizer rates in a maize crop in Italy: A spatial and temporal analysis using crop models. Biosystems Engineering, 113(2), 103–111. https://doi.org/10.1016/j.biosystemseng.2012.06.012

Bartzanas, T., Bochtis, D., Sørensen, C. A. G., Sapounas, A. A. & Green, O. (2010). A numerical modelling approach for biomass field drying. Biosystems Engineering, 106(4), 458-469. https://doi.org/10.1016/j.biosystemseng.2010.05.010

Bartzanas, T., Bochtis, D., Sørensen, C. A. G., Green, O., Fountas, S. & Sapounas, A. A. (2010). CFD approach of biomass drying process. In AgEng 2010 - Book of Abstracts (pp. 192-192) https://www.cabidigitallibrary.org/doi/pdf/10.5555/20113080009

Bartzanas, T., Bochtis, D., Sørensen, C. A. G., Green, O., Fountas, S. & Sapounas, A. A. (2010). CFD approach of biomass drying process. Paper presented at AgEng 2010 - Towards Environmental Technology, Clermont-Ferrand, France.

Bartzanas, T., Bochtis, D., Green, O., Grøn Sørensen, C. & Fidaros, D. (2013). Prediction of quality parameters for biomass silage: A CFD approach. Computers and Electronics in Agriculture, 93, 209–216. https://doi.org/10.1016/j.compag.2012.05.013

Bartzanas, T., Bochtis, D., Grøn Sørensen, C. & Green, O. (2012). Moisture content evaluation of biomass using CFD approach. Scientia Agricola, 69(5), 287-292. https://www.scielo.br/j/sa/a/RHbXBwrM5y3RY3CQMJsRGDq/?format=pdf&lang=en

Bartzanas, T., Bochtis, D., Grøn Sørensen, C. & Green, O. (2013). Application of Computational Fluid Dynamics (CFD) for Optimizing the Biomass Field Drying Process. Paper presented at CIOSTA XXXV Conference, Billund, Denmark. https://www.researchgate.net/publication/280223686_Application_of_Computational_Fluid_Dynamics_CFD_for_Optimizing_the_Biomass_Field_Drying_Process

Barros, B., aguiar, A. & Lucani Rötter, D. E. (2012). Network-aware Biomedical Signal Processing - Loss Concealment or Loss Awareness. In : International Conference on Health Informatics (pp. 318-325)

Banhazi, T., Banhazi, A., Tikasz, I. E., Palotay, S., Mallimger, K., Neubauer, T., Corpaci, L., Marchaim, U., Kopler, I., Opalinski, S., Olejnik, K., Kokin, E., Gunnarsson, S., Bjerre, T. & Soerensen, C. (2024). Facilitating PLF Technology Adoption in the Pig and Poultry Industries. Studies in Agricultural Economics, 126(1), 43-49. https://doi.org/10.7896/j.2725

Banaei, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2020). A Comparative Analysis of Optimal Operation Scenarios in Hybrid Emission-Free Ferry Ships. IEEE Transactions on Transportation Electrification, 6(1), 318-333. Article 8976275. https://doi.org/10.1109/TTE.2020.2970674

Banaei, M., Ghanami, F., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2020). Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas. Energies, 13(16), Article 4179. https://doi.org/10.3390/en13164179

Baliyarasimhuni, S., Lucani Rötter, D. E. & Sousa, J. (2013). Joint Route Planning for UAV and Sensor Network Data Retrieval. In 2013 7th Annual IEEE Systems Conference (pp. 688-692). IEEE.

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Multi-Exit Vision Transformer for Dynamic Inference. In The 32nd British Machine Vision Conference https://www.semanticscholar.org/paper/Multi-Exit-Vision-Transformer-for-Dynamic-Inference-Bakhtiarnia-Zhang/26f61039857423c0aad2c44f0e7769cbb61246c9

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2022). Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks, 153, 461-473. https://doi.org/10.1016/j.neunet.2022.06.038

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 559-564). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371805

Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. In ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. In 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191962

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). Efficient High-Resolution Deep Learning: A Survey. ACM Computing Surveys, 56(7), 1 - 35. Article 181. https://doi.org/10.1145/3645107

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). Institute of Electrical and Electronics Engineers Inc.. 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 Tookanlou, P., Pourmoayed, R., Grøn Sørensen, C. & Nørremark, M. (2025). Predicting readiness of arable land and scheduling of tillage operations using finite-horizon Markov decision process and Gaussian state space models. The Open Operational Research Journal, 25(4), Article 92. https://doi.org/10.1007/s12351-025-00964-8

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