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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Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2022). Realistic Assessment of Transport Protocols Performance over LEO-based Communications. I PE-WASUN '22: Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor & Ubiquitous Networks (s. 91-98). Association for Computing Machinery. https://doi.org/10.1145/3551663.3558680

Henriksen, M. L., Karlsen, C. B., Klarskov, P. & Hinge, M. (2022). Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning. Vibrational Spectroscopy, 118, artikel 103329. https://doi.org/10.1016/j.vibspec.2021.103329

Henriksen, M. L., Pedersen, W. N., Klarskov, P. & Hinge, M. (2022). One step calibration of industrial hyperspectral cameras. Chemometrics and Intelligent Laboratory Systems, 227, artikel 104609. https://doi.org/10.1016/j.chemolab.2022.104609

Hemakom, A., Ahrabian, A., Looney, D., Rehman, N. U. & Mandic, D. P. (2015). Nonuniformly sampled trivariate empirical mode decomposition. I 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/icassp.2015.7178660

Helmstedt, C., Manouselis , N. M., Martín-Moncunill, D., Protonotarios, V., Sicilia, M-A., M. Stracke, C., Adamides, G., Aventurier, P., Belsis, P., Beyer, J., Biniari, K., Bouza, D., Ciotoli, F., Engel-Vermette, S., Nicola Ghirad, N. G., Koutoumanos, A., Jensen, A. L., Le Henaff, D., Masselin-Silvin , S. ... Tsiflidou, E. (2020). Opening Up Access to Scientific Information: Recommendations for Improving Virtual Repositories and Online Communities. University Publisher. https://hal.inrae.fr/hal-02806629/document

Heidary, J., Gheisarnejad Chirani, M., Rastegar, H. & Khooban, M. H. (2022). Survey on microgrids frequency regulation: Modeling and control systems. Electric Power Systems Research, 213, artikel 108719. https://doi.org/10.1016/j.epsr.2022.108719

Heidary, J., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control. Electric Power Systems Research, 217, artikel 109105. https://doi.org/10.1016/j.epsr.2022.109105

Heidary, J., Oshnoei, S., Gheisarnejad Chirani, M., Khalghani, M. R. & Khooban, M. H. (2023). Shipboard Microgrid Frequency Control Based on Machine Learning Under Hybrid Cyberattacks. IEEE Transactions on Industrial Electronics. https://ieeexplore.ieee.org/document/10232899

Heidari, N. & Iosifidis, A. (2021). Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access, 9, 81957-81968. https://doi.org/10.1109/ACCESS.2021.3085905

Heidari, N. & Iosifidis, A. (2021). Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. I Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition (s. 7907-7914). artikel 9412091 IEEE. https://doi.org/10.1109/ICPR48806.2021.9412091

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. I ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Bind 2021-June, s. 3220-3224). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413860

Heidari, N. & Iosifidis, A. (2021). On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. I IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534440

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. arXiv.org. https://arxiv.org/pdf/2106.04332.pdf

Heidari, N. (2022). Representation Learning for Graph-Structured Data Analysis. Aarhus Universitet.

Heidari, N., Hedegaard Morsing, L. & Iosifidis, A. (2022). Graph convolutional networks. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 71-99). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00009-9

Hegde, S., Shi, L., Hernandez Marcano, N. J., Shrivastava, R., Blume, O. & Jacobsen, R. H. (2021). Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications. I 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings artikel 9449009 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Transactions on Image Processing, 30, 8619-8631. https://doi.org/10.1109/TIP.2021.3118978

Hedegaard Morsing, L., Heidari, N. & Iosifidis, A. (2022). Continual Spatio-Temporal Graph Convolutional Networks. Pattern Recognition, 140, 109528. https://doi.org/10.48550/arXiv.2203.11009

Hedegaard Morsing, L., Alok, A., Jose, J. & Iosifidis, A. (2022). Structured Pruning Adapters. https://doi.org/10.48550/arXiv.2211.10155

Hedegaard Morsing, L. & Iosifidis, A. (2022). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. I S. Avidan, G. Brostow, M. Cissé, G. M. Farinella & T. Hassner (red.), Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings (s. 369-385). Springer. https://doi.org/10.1007/978-3-031-19772-7_22

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2022). Continual Transformers: Redundancy-Free Attention for Online Inference. The Eleventh International Conference on Learning Representations. https://arxiv.org/abs/2201.06268

Hedegaard, L. & Iosifidis, A. (2023). Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. I L. Karlinsky, T. Michaeli & K. Nishino (red.), Computer Vision – ECCV 2022 Workshops, Proceedings (s. 21-34). Springer. https://doi.org/10.1007/978-3-031-25082-8_2

Hassan Hire, J., Agianniotis, N., Kofoed, B. P. & Moradi, F. (2022). Energy Harvesting In Immersed Tunnel For Powering Wireless Sensor Nodes For Corrosion Monitoring. I E E E Sensors Journal, 22(10), 9892-9903. adv. onlinepublikation. https://doi.org/10.1109/JSEN.2022.3165659

Hassan Hire, J. (2022). Self-powered Embedded Wireless Corrosion Monitoring System. Aarhus Universitet.

HAO, H., WANG, H., REHMAN, N. UR. & TIAN, H. (2016). A Study of the Characteristics of MEMD for Fractional Gaussian Noise. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E99.A(6), 1228-1232. https://doi.org/10.1587/transfun.e99.a.1228

Hao, H., Wang, H. L. & Rehman, N. U. (2017). A joint framework for multivariate signal denoising using multivariate empirical mode decomposition. Signal Processing, 135, 263-273. https://doi.org/10.1016/j.sigpro.2017.01.022

Hansen, S. T., Thule, C. & Gomes, C. (2021). An FMI-Based Initialization Plugin for INTO-CPS Maestro 2. I L. Cleophas & M. Massink (red.), Software Engineering and Formal Methods: SEFM 2020 Collocated Workshops (s. 295-310). Springer. https://doi.org/10.1007/978-3-030-67220-1_22

Hansen, S. T., Gomes, C., Larsen, P. G. & Van De Pol, J. (2021). Synthesizing Co-Simulation Algorithms with Step Negotiation and Algebraic Loop Handling. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (s. 62-73). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552073

Hansen, S. T., Gomes, C., Palmieri, M., Thule, C., van de Pol, J. & Woodcock, J. (2021). Verification of Co-simulation Algorithms Subject to Algebraic Loops and Adaptive Steps. I A. L. Lafuente & A. Mavridou (red.), Formal Methods for Industrial Critical Systems (s. 3-20). Springer. https://doi.org/10.1007/978-3-030-85248-1_1

Hansen, J. P., Jespersen, L. M., Brunori, G., Jensen, A. L., Holst, K., Mathiesen, C., Halberg, N. & Rasmussen, I. A. (2014). ICT and social media as drivers of multi-actor innovation in agriculture. I World Conference on Computers in Agriculture, San Jose, Costa Rica, 2014 https://journals.sfu.ca/cigrp/index.php/Proc/article/view/162/161

Hansen, M. J., Kai, P., Nørremark, M., Børsting, C. F., Ottosen, C-O. & Konnerup, D. (2022). Miljø- og Klimateknologi 2022. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Hansen, S. T., Gomes, C. Â. G., Najafi, M., Sommer, T., Blesken, M., Zacharias, I., Kotte, O., Mai, P. R., Schuch, K., Wernersson, K., Bertsch, C., Blochwitz, T. & Junghanns, A. (2022). The FMI 3.0 Standard Interface for Clocked and Scheduled Simulations. Electronics (Switzerland), 11(21), artikel 3635. https://doi.org/10.3390/electronics11213635

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

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

Hansen, S. T. & Ölveczky, P. C. (2022). Modeling, Algorithm Synthesis, and Instrumentation for Co-simulation in Maude. I K. Bae (red.), Rewriting Logic and Its Applications. WRLA 2022 (s. 130-150). Springer. https://doi.org/10.1007/978-3-031-12441-9_7

Hansen, E. M., Thomsen, I. K., Cronin, I. V., Gislum, R., Larsen, R. & Mortensen, A. K., (2023). Opdatere trappemodel om dækningsgrad af efterafgrøder ved kontrol i forhold til etableringstidspunkt, Nr. 2022-0445946, 18 s., apr. 26, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Hansen, S. T., Gomes, C. & Kazemi, Z. (2023). Synthesizing Orchestration Algorithms for FMI 3.0: Synthesizing Orchestration Algorithms for FMI 3.0. I 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 184-195). IEEE.

Hageman, K., Feal, A., Gamba, J., Girish, A., Bleier, J., Lindorfer, M., Tapiador, J. & Vallina-Rodriguez, N. (2023). Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem. IEEE Transactions on Software Engineering, 49(4), 2964-2979. https://doi.org/10.1109/TSE.2023.3236582

Gul, S., Siddiqui, M. F. & Rehman, N. U. (2019). FPGA Based Real-Time Implementation of Online EMD With Fixed Point Architecture. IEEE Access, 7, 176565-176577. https://doi.org/10.1109/access.2019.2957819

Gudjonsdottir, M. S., Audunsson, H., Donoso, A. M., Kristjansson, G., Saemundsdóttir, I., Foley, J. T., Kyas, M., Sripakagorn, A., Roslöf, J., Bennedsen, J., Edström, K., Kuptasthien, N. & Lyng, R. (2022). Editorial. Proceedings of the International CDIO Conference, iii-iv.

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. I INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Grøn Sørensen, C., Pesonen, L., Fountas, S., Suomi, P., Bochtis, D., Bildsøe, P. & Pedersen, S. M. (2010). A user-centric approach for information modelling in arable farming. Computers and Electronics in Agriculture, 73(1), 44-55. https://doi.org/10.1016/j.compag.2010.04.003

Grøn Sørensen, C. & Bochtis, D. (2010). Agricultural fleet management: A systems approach. Afhandling præsenteret på World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR), Quebec City, Canada. http://bioeng.ca/publications/meetings-papers?sobi2Task=sobi2Details&catid=23&sobi2Id=324

Grøn Sørensen, C. & Bochtis, D. (2010). Agricultural Fleet Management: A system approach. I P. Savoie, J. Villeneuve & R. Morisette (red.), XVIIth World Congress of the International Commission of Agricultural and Biosystems Engineering, Book of Abstracts (s. 182) https://www.semanticscholar.org/paper/AGRICULTURAL-FLEET-MANAGEMENT%3A-A-SYSTEM-APPROACH-Soerensen-Bochtis/f48b196d036719a0003cc4f1686473b70a737634

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 præsenteret på ASABE.

Grøn Sørensen, C. (2022). Smart Farming and Circular Systems. I Q. Zhang (red.), Encyclopedia of Smart Agriculture Technologies Springer, Cham. https://doi.org/10.1007/978-3-030-89123-7_254-1

Grombacher, D., Liu, L., Griffiths, M. P., Vang, M. & Larsen, J. J. (2021). Steady-State Surface NMR for Mapping of Groundwater. Geophysical Research Letters, 48(23), artikel e2021GL095381. https://doi.org/10.1029/2021GL095381

Grombacher, D., Griffiths, M. P., Liu, L., Vang, M. & Larsen, J. J. (2022). Frequency Shifting Steady-State Surface NMR Signals to Avoid Problematic Narrowband-Noise Sources. Geophysical Research Letters, 49(7), artikel e2021GL097402. https://doi.org/10.1029/2021GL097402

Griffiths, M. P., Grombacher, D. J. & Larsen, J. J. (2021). Efficient numerical Bloch solutions for multipulse surface NMR. Geophysical Journal International, 227(3), 1905-1916. https://doi.org/10.1093/gji/ggab321

Griffiths, M. P., Grombacher, D., Liu, L., Vang, M. Ø. & Larsen, J. J. (2022). Forward Modeling Steady-State Free Precession in Surface NMR. IEEE Geoscience and Remote Sensing Letters, 60, artikel 4513510. https://doi.org/10.1109/TGRS.2022.3221624

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