Looney, D.
, Rehman, N. U., Mandic, D., Rutkowski, T. M., Heidenreich, A. & Beyer, D. (2009).
Conditioning multimodal information for smart environments. I
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) IEEE.
https://doi.org/10.1109/icdsc.2009.5289373
Liu, L., Grombacher, D., Griffiths, M., Vang, M. & Larsen, J. J. (2023).
Signal Processing Steady-State Surface NMR Data.
IEEE Transactions on Instrumentation and Measurement,
72, Artikel 6502313.
https://doi.org/10.1109/TIM.2023.3264033
Liu, B., Wang, Y., Mofid, O., Mobayen, S.
& Khooban, M. H. (2024).
Barrier Function-Based Backstepping Fractional-Order Sliding Mode Control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances.
IEEE Transactions on Aerospace and Electronic Systems,
60(1), 716-728.
https://doi.org/10.1109/TAES.2023.3328801
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
Lin, P.-C., Abbaszadeh, E., Mobayen, S., Rouhani, S. H., Su, C.-L., Haddad-Zarif, M.
& Khooban, M. H. (2024).
Soft variable structure fractional sliding-mode control for frequency regulation in renewable shipboard microgrids.
Ocean Engineering, Artikel 117065.
https://doi.org/10.1016/j.oceaneng.2024.117065
Licklederer, T., Zinsmeister, D., Elizarov, I.
, Perić, V. & Tzscheutschler, P. (2021).
Characteristics and challenges in prosumer-dominated thermal networks.
Journal of Physics: Conference Series,
2042(1), Artikel 012039.
https://doi.org/10.1088/1742-6596/2042/1/012039
Li, B.
, Schultz, C. P. L., Melzner, J., Golovina, O. & Teizer, J. (2020).
Safe and Lean Location-based Construction Scheduling. I H. Osumi, H. Furuya & K. Tateyama (red.),
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020): From Demonstration to Practical Use - To New Stage of Construction Robot - (s. 1409-1416). International Association for Automation and Robotics in Construction (IAARC).
https://doi.org/10.22260/ISARC2020/0195
Li, B.
, Schultz, C. P. L., Dimyadi, J. & Amor, R. (2021).
Defeasible reasoning for automated building code compliance checking. I V. Semenov & R. J. Scherer (red.),
ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction: Proceedings of the 13th European Conference on Product & Process Modelling (ECPPM 2021), 15-17 September 2021, Moscow, Russia (s. 229-236). CRC Press.
https://doi.org/10.1201/9781003191476
Li, B.
, Schultz, C., Teizer, J., Golovina, O. & Melzner, J. (2022).
Towards a unifying domain model of construction safety, health and well-being: SafeConDM.
Advanced Engineering Informatics,
51, Artikel 101487.
https://doi.org/10.1016/j.aei.2021.101487
Li, R., Shreya, S., Ricci, S., Bridarolli, D., Ielmini, D.
, Farkhani, H. & Moradi, F. (2023).
Thermal-Induced Multi-State Memristors for Neuromorphic Engineering. I
IEEE International Symposium on Circuits and Systems (ISCAS): Proceedings IEEE.
https://doi.org/10.1109/ISCAS46773.2023.10182122
Li, C.
, Kies, A., Zhou, K., Schlott, M., Sayed, O. E., Bilousova, M. & Stöcker, H. (2024).
Optimal Power Flow in a highly renewable power system based on attention neural networks.
Applied Energy,
359, Artikel 122779.
https://doi.org/10.1016/j.apenergy.2024.122779
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
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
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., 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
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.
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
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 (Bind Volume 1: SIMULTECH, 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, 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., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021).
Apsu - A compact surface NMR instrument for groundwater investigations.
SEG Technical Program Expanded Abstracts,
2021-September, 3135-3139.
https://doi.org/10.1190/segam2021-3582046.1
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