Publikationer fra instituttet

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

Publikationsliste

Sortér efter: Dato | Forfatter | Titel

Li, N. (2023). Edge AI for Time-critical Internet-of-things. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Li, J., Li, Z., Liu, Z., Zhou, P. Y., Hong, R., Li, Q. & Hu, H. (2025). Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and User Trajectory Information. IEEE Transactions on Circuits and Systems for Video Technology, 35(12), 12816-12829. https://doi.org/10.1109/TCSVT.2025.3577724

Li, B. (2022). Answer Set Programming for Building Information Modelling. [Ph.d.-afhandling, Aarhus Universitet].

Li, J., Zhao, Z., Li, Q., Li, Z., Zhou, P., Liu, Z., Zhou, H. & Li, Z. (2025). VPFormer: Leveraging Transformer with Voxel Integration for Viewport Prediction in Volumetric Video. ACM Transactions on Multimedia Computing, Communications and Applications, 21(6), Artikel 158. https://doi.org/10.1145/3730402

Li, H., Tian, Y., Lan, K., Liao, Y., Wang, L., Hui, P. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Advance online publication. https://doi.org/10.1109/TPAMI.2025.3620403

Leporowski, B. & Iosifidis, A. (2021). Visualising deep network time-series representations. Neural Computing and Applications, 33(23), 16489-16498. https://doi.org/10.1007/s00521-021-06244-8

Leporowski, B. T., Tola, D., Hansen, C. & Iosifidis, A. (2022). Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. I A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (s. 224-232). Springer. https://doi.org/10.1007/978-3-030-90700-6_25

Leka, S. & Jacobsen, H. S. (2022). The role of Idea management system in Absorptive Capacity and Action-based Process of Radical innovation. I Event Proceedings: LUT Scientific and Expertise Publications LUT Scientific and Expertise Publications.

Leka, S. (2024). The Role of Artificial Intelligence in Idea Management Systems and Innovation Processes: An Integrative Review. I AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence Conference (s. 160-164). Association for Computing Machinery. https://doi.org/10.1145/3660853.3660890

Leka, S. & Shah, A. (2025). Advancing Idea Management Systems with Topic Modeling: Radical Innovation Patterns in Student-Driven Industry Cases. I 2025 3rd Cognitive Models and Artificial Intelligence Conference, AICCONF 2025 - Proceedings IEEE. https://doi.org/10.1109/AICCONF64766.2025.11064163

Leitenstorfer, A., Moskalenko, A. S., Kampfrath, T., Kono, J., Castro-Camus, E., Peng, K., Qureshi, N., Turchinovich, D., Tanaka, K., Markelz, A. G., Havenith, M., Hough, C., Joyce, H. J., Padilla, W. J., Zhou, B., Kim, K. Y., Zhang, X. C., Jepsen, P. U., Dhillon, S. ... Cunningham, J. (2023). The 2023 terahertz science and technology roadmap. Journal of Physics D: Applied Physics, 56(22), Artikel 223001. https://doi.org/10.1088/1361-6463/acbe4c

Lehner, D., Gil Arboleda, S., Mikkelsen, P. H., Larsen, P. G. & Wimmer, M. (2023). An Architectural Extension for Digital Twin Platforms to Leverage Behavioral ModelsBehaviors. I 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023 (s. 1-8). IEEE. https://doi.org/10.1109/CASE56687.2023.10260417

Lehmann, A., Trolle, D. & Nielsen, A. (2023). A global webservice to generate SWAT+ hourly and daily input climate files from ERA5 reanalysis data. Abstract fra 2023 Denmark SWAT Conference, Aarhus, Danmark.

Legaard, C. M., Tola, D., Schranz, T., Macedo, H. D. & Larsen, P. G. (2021). A Universal Mechanism for Implementing Functional Mock-up Units. I G. Wagner, F. Werner, T. I. Ören & F. D. Rango (red.), Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021, Online Streaming, July 7-9, 2021 (s. 121-129). SCITEPRESS Digital Library. https://doi.org/10.5220/0010577601210129

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

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Artikel 236. https://doi.org/10.1145/3567591

Legaard, C. M. (2023). The Next Paradigm for Modeling and Simulation? Integrating Machine Learning Methods in FMI-based Co-Simulation. [Ph.d.-afhandling, Aarhus Universitet]. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

Le Fevre Sejersen, J., Suzumura, T. & Kayacan, E. (2025). GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning. I C. Laugier, A. Renzaglia, N. Atanasov, S. Birchfield, G. Cielniak, L. De Mattos, L. Fiorini, P. Giguere, K. Hashimoto, J. Ibanez-Guzman, T. Kamegawa, J. Lee, G. Loianno, K. Luck, H. Maruyama, P. Martinet, H. Moradi, U. Nunes, J. Pettre, A. Pretto, T. Ranzani, A. Ronnau, S. Rossi, E. Rouse, F. Ruggiero, O. Simonin, D. Wang, M. Yang, E. Yoshida ... H. Zhao (red.), IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings (s. 10556-10563). IEEE. https://doi.org/10.1109/IROS60139.2025.11246312

le Fevre Sejersen, J., Pimentel De Figueiredo, R. & Kayacan, E. (2021). Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. I 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (s. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Lee, L.-H., Hosio, S., Braud, T. & Zhou, P. (2024). A Roadmap Toward Metaversity: Recent Developments and Perspectives in Education. I D. Liu, R. Huang, A. H. S. Metwally, A. Tlili & E. Fan Lin (red.), Application of the Metaverse in Education (s. 73-95). Springer Nature. https://doi.org/10.1007/978-981-97-1298-4_5

Lee, L. H., Braud, T., Zhou, P. Y., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C. & Hui, P. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Foundations and Trends in Human-Computer Interaction, 18(2-3), 100-337. https://doi.org/10.1561/1100000095

Lee, L. H., Zhou, P. Y., Zhang, C. & Hosio, S. (2025). What if we have Metaverse GPT? Content singularity and human-Metaverse interaction in the AIGC era. I Human-Centered Metaverse: Concepts, Methods, and Applications (s. 13-28). Elsevier. https://doi.org/10.1016/B978-0-443-21996-2.00015-2

Lechuga, M. M. L., Nørremark, M., Jorguseski, L., D'Acunto, L., Politis, C. & Palattella, M. R. (2023). Multi-Connectivity for Livestock Transport in Rural Areas. Afhandling præsenteret på 2023 Joint EuCNC & 6G Summit, Gothenburg, Sverige.

Lebiecka-Johansen, P., Cabrera, A. F., Strøm, J., Mikkelsen, K., Elsborg Madsen, R., Dyhr Thomsen, M., Hansen, M., Engelhard Christensen, J., Hemmsen, M. & Kidmose, P. (2024). Evaluation of Ear-EEG based Automatic Sleep Staging Performance. Journal of Sleep Research, 33(S1), Artikel e14291. https://doi.org/10.1111/jsr.14291

Lebiecka-Johansen, P., Strom, J., Mikkelsen, K. B., Cabrera, A. F., Madsen, R. E., Christensen, J. A. E., Hemmsen, M. C. & Kidmose, P. (2025). Benefits of Different Strategies to Adapt Sleep Scoring Models from Scalp- to Ear-EEG. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025, 1-7. https://doi.org/10.1109/EMBC58623.2025.11252780

Layek, K., Nair, S. V., Hari Krishnan, P. & Hatua, K. (2024). Voltage Angle-Based Torque Control of Dual Three-Phase Interior Permanent Magnet Synchronous Motor Considering Mismatch in Winding Parameters. IEEE Transactions on Industrial Electronics, 71(9), 10119-10129. https://doi.org/10.1109/TIE.2023.3329210

Laursen, S. R. L., Holm, H. A. & Nielsen, S. H. (2022). Heart rate-based dynamic sound intervention - a pilot study. I Proceedings of the EUROREGIO/BNAM2022 Conference: Joimt Acoustics Conference (s. 473-481). https://www.conforg.fr/erbnam2022/output_directory/data/articles/000032.pdf

Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M. & Moradi, F. (2023). An Ultrasonically-Powered System for 1.06mm³ Implantable Optogenetics and Drug Delivery Dust. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3937-3941. https://doi.org/10.1109/TCSII.2023.3289028

Laursen, K. (2021). Ultra-Low Power IC Design for Ultrasonically-Powered Implants. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Lauritsen, S. M. (2022). MACHINE LEARNING BASED PREDICTION OF CLINICAL DETERIORATION IN GENERAL WARDS. [Ph.d.-afhandling, Aarhus Universitet].

Lati, R. N., Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P., Jørgensen, R. N. & Christensen, S. (2021). Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop. Weed Research, 61(3), 147-153. https://doi.org/10.1111/wre.12469

Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Gusmeroli, S. & Jr, G. S. (2020). A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems. I F. De Rango, T. Ören & M. Obaidat (red.), Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications SIMULTECH - Volume 1 (s. 263-270). SCITEPRESS Digital Library. https://doi.org/10.5220/0009892802630270

Larsen, P. G., Fitzgerald, J., Woodcock, J., Gamble, C., Payne, R. & Pierce, K. (2018). Features of Integrated Model-Based Co-modelling and Co-simulation Technology. I A. Cerone & M. Roveri (red.), Software Engineering and Formal Methods - SEFM 2017 Collocated Workshops: DataMod, FAACS, MSE, CoSim-CPS, and FOCLASA, Revised Selected Papers (s. 377-390). Springer. https://doi.org/10.1007/978-3-319-74781-1_26

Larsen, J. J., Pedersen, S. S., Foged, N. & Auken, E. (2021). Suppression of very low frequency radio noise in transient electromagnetic data with semi-tapered gates. Geoscientific Instrumentation, Methods and Data Systems, 10(1), 81-90. Artikel 8. https://doi.org/10.5194/gi-10-81-2021

Larsen, P. G., Soulioti, G., Macedo, H. D., Alifragkis, V., Fitzgerald, J., Livanos, N., Pfeifer, H., Pasquinelli, M., Benedict, M., Thule, C., Tonetta, S., Stritzelberger, B., Marguglio, A., Sutton, L. F., Obstbaum, M., Gusmeroli, S., Beutenmüller, F., Jr., G. S., Wijnands, Q. & Talasila, P. (2020). Enabling Combining Models and Tools in an Online MBSE Collaboration Platform. I Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf

Larsen, J. J., Langhof, R. B., Kjær, M. W., Vang, M., Liu, L., Griffiths, M. & Grombacher, D. (2022). Efficient processing of surface NMR data with spectral analysis. Geophysical Journal International, 229(1), 286-298. https://doi.org/10.1093/gji/ggab472

Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022). HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. I M. S. Obaidat, T. Oren & F. D. Rango (red.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (s. 90-110). Springer. https://doi.org/10.1007/978-3-030-84811-8_5

Larsen, E. L., Espelund, U., Lauritsen, S. M., Thiesson, B., Lange, J., Friis Kjeldsen, G. & Jørgensen, M. J. (2022). +Priokritisk. Early identification of clinical detorioriation among hospitalized patients by explainable AI. Poster-session præsenteret på Symposium on Artificial Intelligence for Learning Health Systems.

Larsen, J. J., Lévy, L. & Asif, M. R. (2022). Removal of powerline noise in geophysical data sets with a scientific machine-learning based approach. IEEE Transactions on Geoscience and Remote Sensing, 60, Artikel 5923410. https://doi.org/10.1109/TGRS.2022.3223737

Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

Larsen, J. J., Kass, M. A., Grombacher, D. & Griffiths, M. P. (2024). Feasibility of Surface Nuclear Magnetic Resonance With Absurdly Long Excitation Pulses. Geophysical Research Letters, 51(20), Artikel e2024GL110826. https://doi.org/10.1029/2024GL110826

Larsen, P. G., Esterle, L., Fitzgerald, J. & Frasheri, M. (2023). Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (s. 222-236). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-40132-9_14

Larsen, J. J., Kass, A., Grombacher, D. & Griffiths, M. P. (2024). Surface NMR with Very Long Transmitter Pulses. Abstract fra AGU Fall meeting 2024, Washington DC, USA.

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. https://doi.org/10.1007/978-3-031-67114-2_5

Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021). Apsu - A compact surface NMR instrument for groundwater investigations. I SEG Technical Program Expanded Abstracts 2021 (s. 3135-3139). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2021-3582046.1

Larsen, J. J., Asif, M. R. & Rafiei Foroushani, M. (2025). Benchmarking deep learning models for wetland mapping in Denmark using high-resolution earth observation data. Abstract fra EGU General Assembly 2025, Vienna, Østrig. https://doi.org/10.5194/egusphere-egu25-4365

Lakshminarayanan, S., Duecker, D., Sarabakha, A., Ganguly, A., Takayama, L. & Haddadin, S. (2024). Estimation of External Force acting on Underwater Robots. I 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (s. 3125-3131). IEEE. https://doi.org/10.1109/CASE59546.2024.10711608

Lading, T., Lindskow, T., Sharghbin, M., Benhassen, L. L., Bechsgaard, T. K., Røpcke, D. M., Nielsen, S. L. & Johansen, P. (2018). Aortic valve repair techniques affect the annulus differently: an In Vitro characterization. The Journal of Heart Valve Disease, 27(4), 251-58.

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Artikel 9371681. https://doi.org/10.1109/ACCESS.2021.3064382

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Within-layer Diversity Reduces Generalization Gap. Afhandling præsenteret på International Conference on Machine Learning Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, 2021. https://arxiv.org/pdf/2106.06012.pdf

Viser resultater 651 til 700 ud af 1450

Forrige

Næste

Revideret 30.12.2025

AU Engineering