Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Artikel 109099. https://doi.org/10.1016/j.fcr.2023.109099

Tøttrup, M. F., Hu, E. C., Kramer, B. A., Macedo, H. D. & Esterle, L. (2023). Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car. I P. Masci, C. Bernardeschi, P. Graziani, M. Koddenbrock & M. Palmieri (red.), Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops: International Conference on Software Engineering and Formal Methods (s. 200-209). Springer. https://doi.org/10.1007/978-3-031-26236-4_18

Bennedsen, J., Böttjer, T. & Tola, D. (2022). Using GitHub classroom in teaching programming. I 18th CDIO International Conference Proceedings - Full papers (s. 690-702) https://www.diva-portal.org/smash/get/diva2:1705223/FULLTEXT01.pdf#page=704

Wewer, C. R., Mahapatra, H., Esterle, L. & Larsen, P. G. (2024). Using FactoryML for Deployment of Machine Learning Models in Industrial Production. I T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (red.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA61755.2024.10710938

Rasmussen, I. A. & Jensen, A. L. (2013, aug.). User guide. www.orgprints. https://orgprints.org/id/eprint/29427/1/2013_Screenshot_manual_Organic_Eprints.pdf

Hjelseth, E. & Li, B. (2021). Use of “Reasoner” for automated building code compliance assessment. I Proceedings of the 38th International Conference of CIB W78 (s. 138-147) https://itc.scix.net/pdfs/w78-2021-paper-014.pdf

Zhou, P. Y. (2024). Unleashing GPT on the Metaverse: Savior or Destroyer? [Point of View]. Proceedings of the IEEE, 112(10), 1572-1582. https://doi.org/10.1109/JPROC.2024.3462604

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? I A. Cerone, M. Autili, A. Bucaioni, C. Gomes, P. Graziani, M. Palmieri, M. Temperini & G. Venture (red.), Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Revised Selected Papers (s. 143-155). Springer. https://doi.org/10.1007/978-3-031-12429-7_11

Tola, D. & Corke, P. (2023). Understanding URDF: A Dataset and Analysis.

Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience.

Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience. I Y. Jingang (red.), 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) IEEE. https://doi.org/10.1109/CASE56687.2023.10260660

Tola, D. & Corke, P. (2024). Understanding URDF: A Dataset and Analysis. IEEE Robotics and Automation Letters, 9(5), 4479-4486. Artikel 10478618. https://doi.org/10.1109/LRA.2024.3381482

Lillelund, C. M., Magris, M. & Pedersen, C. F. (2023). Uncertainty Estimation in Deep Bayesian Survival Models. I IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23) IEEE. https://doi.org/10.1109/BHI58575.2023.10313466

Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. Aarhus University.

Amer, A. H. K. S. A., Alvarez Tunon, O., Ugurlu, H. I., Sejersen, J. L. F., Brodskiy, Y. & Kayacan, E. (2024). UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework. Afhandling præsenteret på IEEE International Conference on Advanced Robotics , Abu Dhabi, United Arab Emirates. https://ieeexplore.ieee.org/abstract/document/10406819

Zamani, M., Hosseini, S., Laursen, K., Rashidi, A., Ivriq, S. B., Rezaeiyan, Y. & Moradi, F. (2025). Ultrasound-Based Wireless Powering Technologies. I R. Das & H. Heidari (red.), Wireless Power Technologies for Biomedical Devices (s. 113-163). Springer. https://doi.org/10.1007/978-3-031-52834-7_6

Rashidi, A., Zamani, M., Mondal, T., Hosseini, S., Laursen, K., Corbett, B. & Moradi, F. (2023). Ultrasonically Powered and Controlled Microsystem for Dual-Wavelength Optogenetics With a Multiload Regulation Scheme. IEEE Solid-State Circuits Letters, 6, 33-36. https://doi.org/10.1109/LSSC.2023.3239601

Surrow, J. H., Thomsen, S. T., Kumar, R. R., Far Brusatori, M., Paula Montes, M., Palsole, A. S., Hoede, C., Klein, H. N. & Volet, N. (2025). Ultra-narrow linewidth laser across the C-band using polarization-controlled dual-cavity feedback. Optics Express, 33(5), 11863-11875. https://doi.org/10.1364/OE.544372

Laursen, K. (2021). Ultra-Low Power IC Design for Ultrasonically-Powered Implants. Århus Universitet.

Balauroiu, M., Ruf, F., Volet, N. & Heck, M. (2021). Ultralow loss, fast all-optical scalable switches. I 2021 IEEE Photonics Conference, IPC 2021 - Proceedings IEEE. https://doi.org/10.1109/IPC48725.2021.9593084

Brusatori, M. F., Duplat, D. N., Degli-Eredi, I., Nielsen, L., Tønning, P. L., Castera, P., Volet, N. & Heck, M. J. R. (2022). Ultralow-linewidth ring laser using hybrid integration and generic foundry platforms. Optics Letters, 47(11), 2686-2689. https://doi.org/10.1364/OL.457367

Maalandish, M., Babaeian, E., Abolhasani, P., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Ultra high step-up soft-switching DC/DC converter using coupled inductor and interleaved technique. IET Power Electronics, 16(8), 1320-1338. https://doi.org/10.1049/pel2.12472

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), Artikel 11995. https://doi.org/10.3390/app122311995

Hansen, J. G., Heiß, M., Kozłowski, M. & Kayacan, E. (2022). UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution. I 2022 European Control Conference (ECC) (s. 1336-1341). IEEE. https://doi.org/10.23919/ECC55457.2022.9838352

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), Artikel 1937. https://doi.org/10.3390/agronomy12081937

Bozcan, I. & Kayacan, E. (2020). UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance. I 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 1158-1164). Artikel 9341790 IEEE. https://doi.org/10.1109/IROS45743.2020.9341790

Macedo, H. D. & Oliveira, J. N. (2013). Typing linear algebra: A biproduct-oriented approach.

Bogomolov, S., Fitzgerald, J., Foldager, F. F., Gamble, C., Larsen, P. G., Pierce, K., Stankaitis, P. & Wooding, B. (2021). Tuning Robotti: the Machine-assisted Exploration of Parameter Spaces in Multi-Models of a Cyber-Physical System. I J. Fitzgerald, T. Oda & H. D. Macedo (red.), Proceedings of the 18th International Overture Workshop (s. 50-65) https://arxiv.org/pdf/2101.07261.pdf

Carlson Hanse, L., Tjørnild, M. J., Sørensen, S. G., Johansen, P., Lugones, I. & Hjortdal, V. E. (2022). Trileaflet Semilunar Valve Reconstruction: Pulsatile In Vitro Evaluation. Interactive Cardiovascular and Thoracic Surgery, 35(4), Artikel ivac227. https://doi.org/10.1093/icvts/ivac227

Taurone, F., Dorsch, J., Lucani Rötter, D. E. & Zhang, Q. (2024). triaGeD: using compression for anomaly detection. I A. Bilgin, J. E. Fowler, J. Serra-Sagrista, Y. Ye & J. A. Storer (red.), Proceedings - DCC 2024: 2024 Data Compression Conference (s. 588-588). IEEE. https://doi.org/10.1109/DCC58796.2024.00105

Taurone, F., Fehér, M., Sipos, M. & Lucani Rötter, D. E. (2024). TREAT - Two wRongs makE A righT: Efficient distributed storage and queries of IoT datasets with erasure coding and compression. I DEBS 2024: Proceedings of the 18th ACM International Conference on Distributed and Event-Based Systems (s. 147-158). Association for Computing Machinery. https://doi.org/10.1145/3629104.3666039

Bennedsen, J. & Øien, G. (2023). TRANSNATIONAL COLLABORATION ON LIFELONG LEARNING BETWEEN HIGHER ENGINEERING EDUCATION INSTITUTIONS: A UNIVERSITY PERSPECTIVE. I G. Reilly, M. Murphy, B. V. Nagy & H.-M. Jarvinen (red.), SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (s. 173-182). European Society for Engineering Education (SEFI). https://doi.org/10.21427/2F51-E932

Agarwala, S. (2021). Transactions on Additive Manufacturing Meets Medicine. Transactions on Additive Manufacturing Meets Medicine , 3(S1). https://www.journals.infinite-science.de/index.php/ammm/article/view/595

Chronopoulos, C., Teizer, J. & Esterle, L. (2022). Trajectory Prediction: A Review of Methods and Challenges in Construction Safety. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (s. 428-438). European Group for Intelligent Computing in Engineering (EG-ICE). https://doi.org/10.7146/aul.455.c233

Rasool, S., Saleem, A., Ikram Ul Haq, M. & Jacobsen, R. H. (2024). Towards Zero Trust Security for Prosumer-Driven Verifiable Green Energy Certificates. I 2024 7th International Conference on Energy Conservation and Efficiency (ICECE) (s. 1-6). IEEE. https://doi.org/10.1109/ICECE61222.2024.10505279

Lund, J., Jensen, L. B., Macedo, H. D. & Larsen, P. G. (2022). Towards UML and VDM Support in the VS Code Environment. I H. D. Macedo & K. Pierce (red.), Proceedings of the 20th International Overture Workshop (s. 50-65) https://doi.org/10.48550/arXiv.2208.10233

Larsen, P. G., Talasila, P. & Fitzgerald, J. (2024). Towards the Composition of Digital Twins. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (s. 103-122). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-67114-2_5

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

Aher, G. R., Boudjadar, J. & Ramanujan, D. (2023). Towards Simulation-Based Circular Product Design. Procedia CIRP, 116, 690-695. https://doi.org/10.1016/j.procir.2023.02.116

Kulik, T., Gomes, C., Macedo, H. D., Hallerstede, S. & Larsen, P. G. (2022). Towards Secure Digital Twins. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (s. 159-176). Springer. https://doi.org/10.1007/978-3-031-19762-8_11

Vestergaard, R. (2021). Towards Scalable Randomly Accessible Data Compression. Århus Universitet.

Gil Arboleda, S. (2024). Towards realization of Digital Twins for systems with coupled behavior. Aarhus University. https://doi.org/10.7146/aul.545

Oakes, B., Gomes, C., Abbiati, G., Kamburjan, E., Bas, E. E. & Engelsgaard, S. (2024). Towards Ontological Service-Driven Engineering of Digital Twins. I Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (s. 464-469). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3652620.3688261

Tola, D., Böttjer, T., Larsen, P. G. & Esterle, L. (2022). Towards Modular Digital Twins of Robot Systems. I Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (s. 95-100). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00040

Kruckel, C. J., Becker, H., Ban, Y., Heck, M. J. R., Van Campenhout, J. & Van Thourhout, D. (2021). Towards Maximum Energy Efficiency of Carrier-Injection-Based Silicon Photonics. Journal of Lightwave Technology, 39(9), 2931-2940. https://doi.org/10.1109/JLT.2021.3059915

Böttjer, T. (2024). Towards Manufacturing Digital Twins: A Case Study in the Injection Moulding Industry. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

Legaard, C. M., Thule, C. & Larsen, P. G. (2019). Towards Graphical Configuration in the INTO-CPS Application. I 17TH OVERTURE WORKSHOP

Bjerge, K., Karstoft, H. & Høye, T. T. (2024). Towards edge processing of images from insect camera traps. bioRxiv. https://doi.org/10.1101/2024.07.01.601488

Bjerge, K., Karstoft, H. & Høye, T. T. (2025). Towards edge processing of images from insect camera traps. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.70007

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. I 2022 IEEE/SICE International Symposium on System Integration (SII) (s. 77-82). IEEE. https://doi.org/10.1109/SII52469.2022.9708846

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