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Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

Publication list

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Leka, S. & Jacobsen, H. S. (2022). The role of Idea management system in Absorptive Capacity and Action-based Process of Radical innovation. In Event Proceedings: LUT Scientific and Expertise Publications LUT Scientific and Expertise Publications.
Rausch, C., Talebi, S., Poshdar, M., Li, B. & Schultz, C. (2022). Tolerance management domain model for semantic enrichment of BIMs. Automation in Construction, 141, Article 104394. https://doi.org/10.1016/j.autcon.2022.104394
Tola, D., Madsen, E., Gomes, C., Esterle, L., Schlette, C., Hansen, C. & Larsen, P. G. (2022). Towards Easy Robot System Integration: Challenges and Future Directions. In 2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 77-82). IEEE. https://doi.org/10.1109/SII52469.2022.9708846
Tola, D., Böttjer, T., Larsen, P. G. & Esterle, L. (2022). Towards Modular Digital Twins of Robot Systems. In Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (pp. 95-100). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00040
Kulik, T., Gomes, C., Macedo, H. D., Hallerstede, S. & Larsen, P. G. (2022). Towards Secure Digital Twins. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (pp. 159-176). Springer. https://doi.org/10.1007/978-3-031-19762-8_11
Besson, M., Alison, J., Bjerge, K., Gorochowski, T. E., Høye, T. T., Jucker, T., Mann, H. M. R. & Clements, C. F. (2022). Towards the fully automated monitoring of ecological communities. Ecology Letters, 25(12), 2753-2775. https://doi.org/10.1111/ele.14123
Lund, J., Jensen, L. B., Macedo, H. D. & Larsen, P. G. (2022). Towards UML and VDM Support in the VS Code Environment. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 50-65) https://doi.org/10.48550/arXiv.2208.10233
Chronopoulos, C., Teizer, J. & Esterle, L. (2022). Trajectory Prediction: A Review of Methods and Challenges in Construction Safety. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 428-438). European Group for Intelligent Computing in Engineering (EG-ICE). https://doi.org/10.7146/aul.455.c233
Katikaridis, D., Moysiadis, V., Tsolakis, N., Busato, P., Kateris, D., Pearson, S., Sørensen, C. G. & Bochtis, D. (2022). UAV-Supported Route Planning for UGVs in Semi-Deterministic Agricultural Environments. Agronomy, 12(8), Article 1937. https://doi.org/10.3390/agronomy12081937
Hansen, J. G., Heiß, M., Kozłowski, M. & Kayacan, E. (2022). UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution. In 2022 European Control Conference (ECC) (pp. 1336-1341). IEEE. https://doi.org/10.23919/ECC55457.2022.9838352
Farooq, W., Islam, S. U., Khan, M. A., Rehman, S., Gulzari, U. A. & Boudjadar, J. (2022). UGAVs-MDVR: A Cluster-Based Multicast Routing Protocol for Unmanned Ground and Aerial Vehicles Communication in VANET. Applied Sciences, 12(23), Article 11995. https://doi.org/10.3390/app122311995
Feng, H., Gomes, C., Sandberg, M., Macedo, H. D. & Larsen, P. G. (2022). Under What Conditions Does a Digital Shadow Track a Periodic Linear Physical System? In A. Cerone, M. Autili, A. Bucaioni, C. Gomes, P. Graziani, M. Palmieri, M. Temperini & G. Venture (Eds.), Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Revised Selected Papers (pp. 143-155). Springer. https://doi.org/10.1007/978-3-031-12429-7_11
Oda, T., Kusakabe, S., Chang, H.-M. & Larsen, P. G. (2022). VDM-SL in action: A FRAM-based approach to contextualise formal specifications. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 5-18) https://doi.org/10.48550/arXiv.2208.10233
Hansen, S. T., Thule, C., Gomes, C., van de Pol, J., Palmieri, M., Inci, E. O., Madsen, F., Alfonso, J., Castellanos, J. Á. & Rodriguez, J. M. (2022). Verification and synthesis of co-simulation algorithms subject to algebraic loops and adaptive steps. International Journal on Software Tools for Technology Transfer, 24(6), 999-1024. https://doi.org/10.1007/s10009-022-00686-8
Tashakor, N., Naseri, F., Fang, J., Schotten, H. & Goetz, S. (2022). Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON49645.2022.9968369
Nørremark, M., Hansen, E. M. & Thomsen, I. K., (2022). Vurderingen af miljøeffekten ved variabel tildeling af husdyrgødning under præcisionslandbrug, No. 2021-0310376, 12 p., Apr 21, 2022. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Khan, T. M., Khan, M. A. U., Rehman, N. U., Naveed, K., Afridi, I. U., Naqvi, S. S. & Raazak, I. (2022). Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control, 71(Part A), Article 103169. https://doi.org/10.1016/j.bspc.2021.103169
Grøn Sørensen, C., Dybro, N., M. Allen, C., Grift, T. & C. Hansen, A. (2021). A Grain Production System Analysis Towards Scalable Machine Systems. Poster session presented at ASABE.
Faraji, B., Gheisarnejad, M., Yalsavar, M. & Khooban, M. H. (2021). An Adaptive ADRC Control for Parkinson’s Patients Using Machine Learning. IEEE Sensors Journal, 21(6), 8670 - 8678. Article 9311650. https://doi.org/10.1109/JSEN.2020.3048588
Lindahl Petersen , K., Ladegaard Jensen, K., Back Nielsen, M., Pas, L.-C., Jensen, N.-P., Nielsen, P. R., Bøjer, O. M., Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N. & Hartmann, B. (2021). Analyse af mulige herbicidbesparelser ved brug af erfaringer og data fra RoboWeedMaPS. Datalogisk Institut. https://datalogisk.dk/wp-content/uploads/2021/03/MST_20rapport_version_2_2002092021.pdf
Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. In N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (Eds.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (pp. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075
Hansen, S. T., Thule, C. & Gomes, C. (2021). An FMI-Based Initialization Plugin for INTO-CPS Maestro 2. In L. Cleophas & M. Massink (Eds.), Software Engineering and Formal Methods: SEFM 2020 Collocated Workshops (pp. 295-310). Springer. https://doi.org/10.1007/978-3-030-67220-1_22
Gheisarnejad, M., Farsizadeh, H., Tavana, M. R. & Khooban, M. H. (2021). A Novel Deep Learning Controller for DC/DC Buck-Boost Converters in Wireless Power Transfer Feeding CPLs. IEEE Transactions on Industrial Electronics, 68(7), 6379-6384. https://doi.org/10.1109/TIE.2020.2994866
Andalibi, M., Hajihosseini, M., Gheisarnejad Chirani, M., Khooban, M. H. & Boudjadar, J. (2021). A Novel Method for Stabilizing Buck-Boost Converters with CPL using Model Prediction Control. In Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (pp. 541-545). Article 9453639 IEEE. https://doi.org/10.1109/ICIT46573.2021.9453639
Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2021). A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters. IEEE Transactions on Industrial Electronics, 68(8), 6849-6858. https://doi.org/10.1109/TIE.2020.3005071
Magris, M. & Iosifidis, A. (2021). Approximate Bayes factors for unit root testing. Paper presented at International Association for Applied Econometrics Annual Conference 2021, Rotterdam, Netherlands. https://www.researchgate.net/publication/349492007_Approximate_Bayes_factors_for_unit_root_testing