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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Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2022). Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks, 153, 461-473. https://doi.org/10.1016/j.neunet.2022.06.038

Bakhtiarnia, A., Leporowski, B., Esterle, L. & Iosifidis, A. (2022). Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. I 2022 IEEE International Smart Cities Conference (ISC2) IEEE. https://doi.org/10.1109/ISC255366.2022.9921939

Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. I ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. I 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191962

Bakhtiarnia, A. (2024). Optimizing Deep Learning Inference for Edge Intelligence. Aarhus University.

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT. I ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 6510-6514). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10446065

Bajovic, D., Bakhtiarnia, A., Bravos, G., Brutti, A., Burkhardt, F., Cauchi, D., Chazapis, A., Cianco, C., Dall'Asen, N., Delic, V., Dimou, C., Djokic, D., Escobar-Molero, A., Esterle, L., Eyben, F., Farella, E., Festi, T., Geromitsos, A., Giakoumakis, G. ... Zammit, J. (2021). MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments. I 2021 International Balkan Conference on Communications and Networking, BalkanCom 2021 (s. 143-147). IEEE. https://doi.org/10.1109/BalkanCom53780.2021.9593258

Baghaee Ivriq, S., Laursen, K., Møller Jørgensen, A., Mondal, T., Zamani, M., Rezaeiyan, Y., Corbett, B., Iversen, B. B. & Moradi, F. (2024). A System-Level Feasibility Study of a Lead-Free Ultrasonically Powered Light Delivery Implant for Optogenetics. Advanced Intelligent Systems , 6(3), Artikel 2300527. https://doi.org/10.1002/aisy.202300527

Baghaee Ivriq, S., Mohammadi, M. & Davidsen, R. S. (2025). Enhancing photovoltaic efficiency in Half-Tandem MAPbI3/ MASnI3 Perovskite solar cells with triple core-shell plasmonic nanoparticles. Scientific Reports, 15(1), Artikel 1478. https://doi.org/10.1038/s41598-025-85243-4

Badicu, A., Iordache, G., Suciu, G., Macedo, H. D., Sassanelli, C., Terzi, S. & Larsen, P. G. (2021). Deploying the Smart Energy Tool for Investment Simulation inside the HUBCAP Sandbox. I A. G. Bruzzone, J. S. Janosy, L. Nicoletti & G. Zacharewicz (red.), 9th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2021 (s. 18-26) https://doi.org/10.46354/i3m.2021.sesde.003

Badenhorst, W., Jensen, C. M., Jakobsen, U., Esfahani, Z. & Murtomäki, L. (2023). Control-Oriented Electrochemical Model and Parameter Estimation for an All-Copper Redox Flow Battery. Batteries, 9(5), Artikel 272. https://doi.org/10.3390/batteries9050272

Aubard, M., Quijano, S., Alvarez Tunon, O., Antal, L. & Brodskiy, Y. (2024). Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees. I OCEANS 2024 - Singapore IEEE. https://doi.org/10.1109/OCEANS51537.2024.10682385

Asplund, F., Macedo, H. D. & Sassanelli, C. (2021). Problematizing the Service Portfolio of Digital Innovation Hubs. I L. M. Camarinha-Matos, X. Boucher & H. Afsarmanesh (red.), Smart and Sustainable Collaborative Networks 4.0 - 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Proceedings: 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Saint-Étienne, France, November 22–24, 2021, Proceedings (s. 433-440). Springer. https://doi.org/10.1007/978-3-030-85969-5_40

Asiminari, G., Moysiadis, V., Kateris, D., Busato, P., Wu, C., Achillas, C., Sørensen, C. G., Pearson, S. & Bochtis, D. (2024). Integrated Route-Planning System for Agricultural Robots. AgriEngineering, 6(1), 657-677. https://doi.org/10.3390/agriengineering6010039

Asif, M. R., Bording, T. S., Barfod, A. S., Grombacher, D. J., Maurya, P. K., Christiansen, A. V., Auken, E. & Larsen, J. J. (2021). Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling. IEEE Access, 9, 34635-34646. https://doi.org/10.1109/ACCESS.2021.3061761

Asif, M. R., Bording, T. S., Maurya, P. K., Zhang, B., Fiandaca, G., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data. IEEE Transactions on Geoscience and Remote Sensing, 60, Artikel 4503610. https://doi.org/10.1109/TGRS.2021.3076121

Asif, M. R., Larsen, J. J., Maurya, P. K., Christiansen, A. V. & Auken, E. (2021). Complete automation of time-domain transient electromagnetic data processing using deep convolutional autoencoder. Abstract fra AGU 2021, USA.

Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data. Geophysics, 87(4), E177-E187. https://doi.org/10.1190/geo2021-0335.1

Asif, M. R., Maurya, P. K., Foged, N., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Automated transient electromagnetic data processing for ground-based and airborne systems by a deep learning expert system. IEEE Transactions on Geoscience and Remote Sensing, 60, Artikel 5919814. https://doi.org/10.1109/TGRS.2022.3202304

Asif, M. R., Foged, N., Bording, T. S., Larsen, J. J. & Christiansen, A. V. (2023). DL-RMD: a geophysically constrained electromagnetic resistivity model database for deep learning applications. Earth System Science Data, 15(3), 1389-1401. https://doi.org/10.5194/essd-2022-345, https://doi.org/10.5194/essd-15-1389-2023

Asif, M. R., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Deep Convolutional Auto-Encoder for Automated Processing of Airborne Time-Domain Electromagnetic Data. 1-5. Afhandling præsenteret på NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbien. https://doi.org/10.3997/2214-4609.202220038

Asif, M. R., Maurya, P. K., Larsen, J. J. & Christiansen, A. V. (2022). Investigating the Integration of Neural Networks in Least-Squares Method for Airborne Electromagnetic Data Inversion. 1-5. Afhandling præsenteret på NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbien. https://doi.org/10.3997/2214-4609.202220034

Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z., Christiansen, A. V. & Bording, T. S. (2023). Automated Processing of a Large-Scale Airborne Electromagnetic Survey by Deep Learning. Afhandling præsenteret på NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320057

Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z. & Christiansen, A. V. (2023). Automated data processing of a large-scale airborne time-domain electromagnetic survey by a deep learning expert system. Afhandling præsenteret på 8th International Workshop on Airborne Electromagnetics, Queensland, Australien.

Asif, M. R., Maurya, P. K., Foged, N. & Christiansen, A. V. (2023). A DATA DRIVEN APPROACH FOR ROBUST INVERSION OF INDUCED POLARIZATION EFFECTS IN TRANSIENT ELECTROMAGNETIC DATA. I APPLICATION OF GEOPHYSICS TO ENGINEERING AND ENVIRONMENTAL PROBLEMS: SYMPOSIUM. 35TH 2023. (SAGEEP 2023) (s. 82-82). Curran Associates.

Asif, M. R., Kass, M. A., Herpe, M., Rawlinson, Z., Westerhoff, R., Larsen, J. J. & Christiansen, A. V. (2025). Comparative analysis of deep learning and traditional airborne electromagnetic data processing: A case study. Geophysics, 90(3), WA103-WA112. https://doi.org/10.1190/geo2024-0282.1

Asif, MR., Larsen, JJ. & Christiansen, AV. (2024). Automated Processing of Time-Domain Electromagnetic Data Influenced by Induced Polarization Effects. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420140

Armacki, A., Milosevic, N., Bajovic, D., Kar, S., Jakovetic, D., Bakhtiarnia, A., Esterle, L., Muscat, A. & Festi, T. (2023). Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities. I 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings (s. 875-879). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/EUSIPCO58844.2023.10289938

Arent, N. H., Far Brusatori, M. & Volet, N. (2020). Extraction of frequency noise spectral components from delayed self-heterodyne measurements of a laser. Abstract fra European Semiconductor Laser Workshop 2020.

Antonsen, M. M., Liu, S., Xu, X., Steinbach, E., Chinello, F. & Zhang, Q. (2024). Digital Twin-empowered Model-Mediated Teleoperation using Multimodality Data with Signed Distance Fields. I 2024 IEEE Haptics Symposium, HAPTICS 2024 (s. 353-359). IEEE. https://doi.org/10.1109/HAPTICS59260.2024.10520841

Antonsen, M. M., Chinello, F. & Zhang, Q. (2024). Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet. I 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 (s. 15707-15713). IEEE. https://doi.org/10.1109/ICRA57147.2024.10610295

Angotzi, G. N., Giantomasi, L., F. Ribeiro, J., Crepaldi, M., Vincenzi, M., Zito, D. & Berdondini, L. (2022). Integrated Micro-Devices for a Lab-in-Organoid Technology Platform: Current Status and Future Perspectives. Frontiers in Neuroscience, 16, Artikel 842265. https://doi.org/10.3389/fnins.2022.842265

Angelov, P., Bernardi, M. L., Nardini, F. M., Pecori, R., Valerio, L., Dini, P., Ashraf, S., Aversano, L., Bianchini, M., Brutti, A., Bukovsky, I., Cagnoni, S., Cao, J., Cimitile, M., Dazzi, P., Iammarino, M., Iosifidis, A., Michahelles, F., Mora, A. ... Welsh, M. (2024). PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome and Committees. I 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (s. 34-35). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10503466

The twg on energy transition (2021). Theme report on energy transition: Towards the achievement of sdg 7 and net-zero emissions. United Nations Publications. https://www.un.org/sites/un2.un.org/files/2021-twg_2-062321.pdf

Andresen, B., Gomes Guerreiro, G. M., Martin, F. & Yang, G. (2022). New pathways to future grid compliance for wind power plants. 115-121.

Andresen, B., Søgaard, C. T. & Zamastil, M. M. (2023). Grid Code Requirements for Connecting a Hybrid Power Plant: An overview of status and recommendations for future requirements. I 22nd Wind and Solar Integration Workshop (WIW 2023) (s. 22-29). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2714

Andresen, B., Jassmann, U., Dreyer, T., Santjer , F., Quistorf, G. & Zuga, A. (2024). IEC 61400-21-4: Measurement and assessment of electrical characteristics: A standardized way to perform grid compliance test & measurements at component and subsystem level for wind turbines. I IEC 61400-21-4: Measurement and assessment of electrical characteristics : A standardized way to perform grid compliance test & measurements at component and subsystem level for wind turbines

Andresen, B. (2024). Standardized way to perform test and measurements of Wind turbine components and subsystems on Test bench systems. Abstract fra 7th International Workshop on Grid Simulator Testing, Bremen, Tyskland.

Andersen, K. F., Pham, H. X., Ugurlu, H. I. & Kayacan, E. (2022). Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network. I 2022 European Control Conference (ECC) (s. 1342-1348). IEEE. https://doi.org/10.23919/ECC55457.2022.9838538

Andersen, S., Laursen, P. H., Wood, G. J., Lyhne, M. D., Madsen, T. L., Hansen, E. S. S., Johansen, P., Kim, W. Y. & Andersen, M. J. (2024). Comparison of admittance and cardiac magnetic resonance generated pressure-volume loops in a porcine model. Physiological Measurement, 45(5), Artikel 055014. https://doi.org/10.1088/1361-6579/ad4a03

Andalibi, M., Hajihosseini, M., Gheisarnejad, M., Boudjadar, J., Khooban, M. H. & Dragicevic, T. (2020). A New Nonlinear Controller for Multilevel DC/DC Boost Converter. I 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (s. 276-280). Artikel 9244399 IEEE. https://doi.org/10.1109/PEDG48541.2020.9244399

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. I Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (s. 541-545). Artikel 9453639 IEEE. https://doi.org/10.1109/ICIT46573.2021.9453639

Andalibi, M., Hajihosseini, M., Teymoori, S., Kargar, M. & Gheisarnejad, M. (2021). A Time-Varying Deep Reinforcement Model Predictive Control for DC Power Converter Systems. I S. K. Mazumder, J. C. Balda, L. He, J. Liu & A. Gupta (red.), 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (s. 1-6). IEEE. https://doi.org/10.1109/PEDG51384.2021.9494214

Andalibi, M., Madani, S., Ziebert, C., Naseri, F. & Hajihosseini, M. (2022). A Model-Based Approach for Voltage and State-of- Charge Estimation of Lithium-ion Batteries. I 2022 IEEE Sustainable Power and Energy Conference (iSPEC) IEEE. https://doi.org/10.1109/iSPEC54162.2022.10032998

Andalibi, M., Shourangizhaghighi, A., Hajihosseini, M., Saaed Madani, S., Ziebert, C. & Boudjadar, J. (2023). Design and Simulation-Based Optimization of an Intelligent Autonomous Cruise Control System. Computers, 12(4), Artikel 84. https://doi.org/10.3390/computers12040084

Anandakumar, M., Pradeepkumar, J., Kappel, S. L., Edussooriya, C. U. S. & De Silva, A. C. (2023). A Knowledge Distillation Framework for Enhancing Ear-EEG Based Sleep Staging with Scalp-EEG Data. I 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (s. 514-519). IEEE. https://doi.org/10.1109/SMC53992.2023.10394011

Anand, M., Panigrahi, S., Kofoed, M. V. W., Aghababaei, R. & Agarwala, S. (2024). Bioinspired poly(vinyl alcohol) films with tunable adhesion and self-healing for biodegradable electronics and beyond. Sustainable Materials and Technologies, 41, Artikel e01084. https://doi.org/10.1016/j.susmat.2024.e01084

Anagnostis, A., Tagarakis, A. C., Kateris, D., Moysiadis, V., Sørensen, C. G., Pearson, S. & Bochtis, D. (2021). Orchard mapping with deep learning semantic segmentation. Sensors, 21(11), Artikel 3813. https://doi.org/10.3390/s21113813

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Tekniske rapporter

Institut for Elektro- og Computerteknologi udgiver en serie af tekniske rapporter.

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Læs de tekniske rapporter ved at klikke nedenfor:

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Ph.d.-afhandlinger

Ph.d.-afhandinger ved Institut for Elektro- og Computerteknologi udgives gennem Statsbibliotekets/AU library's online E-books platform, hvor der er open access. Du kan finde publicerede afhandlinger ved at følge linket nedenfor.

Ph.d.-afhandlinger ved Institut for Elektro- og Computerteknologi

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