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

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Li, N., Bennis, M., Iosifidis, A. & Zhang, Q. (2023). Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. I IEEE Globecom 2023 (s. 1603-1608). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465187

Ghanatian, H., Benetti, L., Anacleto, P., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2023). Spin-orbit torque flash analog-to-digital converter. Scientific Reports, 13(1), Artikel 9416. https://doi.org/10.1038/s41598-023-35845-7

Rezaeiyan, Y., Zamani, M., Shreya, S., Farkhani, H. & Moradi, F. (2023). Spin-Torque Based Radio-Frequency Signal Classification Front-End. I 2023 IEEE International Symposium on Circuits and Systems (ISCAS) IEEE. https://doi.org/10.1109/ISCAS46773.2023.10181428

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

Woodcock, J., Andersen, M. S., Aranha, D. F., Hallerstede, S., Hansen, S. T., Jakobsen, N. K., Kulik, T., Larsen, P. G., Macedo, H. D., Martin, C. I. I. & Norrild, V. A. M. (2023). State of the Art Report: Verified Computation. https://doi.org/10.48550/arXiv.2308.15191

Musaeus, C. S., Kjær, T. W., Cacic Hribljan, M., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Frederiksen, K. S. (2023). Subclinical Epileptiform Activity in Dementia with Lewy Bodies. Movement Disorders, 38(10), 1861-1870. https://doi.org/10.1002/mds.29531

Ma, C., Rutz, D., Balafoutis, A., Vaiopoulos, K., Vandorou, F., Kyriakarakos, G., Grøn Sørensen, C., Nørremark, M., Kristensen, E. F., Manolakos, D., Koutsouris, A., Kanaki, V., Paris, B., Papadakis, G., Borzecka, M., Wydra, M., Biševac, V., Vansintjan, D., Román, J. ... Hansen, A. G. (2023). SUPPORTING BIOMASS USAGE AND PRODUCTION TO DECARBONIZE AGRICULTURE INDUSTRY: THE AGROFOSSILFREE PROJECT. I 31st European Biomass Conference and Exhibition: Proceedings (s. 373 - 378)

Aher, G. R., Macedo, H. D., Larsen, P. G. & Ramanujan, D. (2023). Supporting Design for Circular Economy Using Lifecycle Co-Simulation. I ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Artikel DETC2023-116537, V005T05A006; American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2023-116537

Hansen, S. T., Gomes, C. & Kazemi, Z. (2023). Synthesizing Orchestration Algorithms for FMI 3.0. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 184-195). IEEE. https://ieeexplore.ieee.org/document/10155361

Tamashiro, M. A., Schaper, M.-M. A., Jensen, A. V., Heick, R., Danielsen, B., Van Mechelen, M., Jensen, K. L., Smith, R. C. & Iversen, O. S. (2023). Teaching Technical and Societal Aspects of IoT - A case study using the Orbit IoT Kit. I DIS '23: : Proceedings of the 2023 ACM Designing Interactive Systems Conference (Bind 1, s. 1236-1247). Association for Computing Machinery. https://doi.org/10.1145/3563657.3596092

Vang, M., Grombacher, D., Griffiths, M. P., Liu, L. & Larsen, J. J. (2023). Technical note: High-density mapping of regional groundwater tables with steady-state surface nuclear magnetic resonance - three Danish case studies. Hydrology and Earth System Sciences, 27(16), 3115-3124. https://doi.org/10.5194/hess-27-3115-2023

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. (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.

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

Zayed, Y. N. H. (2023). Towards a Human-Centered Framework for the Assessment of Subjective Social Values in Buildings. I J. Vanthienen, T. Kliegr, P. Fodor, D. Lanti, D. Arndt, E. V. Kostylev, T. Mitsikas & A. Soylu (red.), RuleML+RR-Companion 2023: RuleML+RR Challenge and Doctoral Consortium 2023 (Bind 3485). CEUR-WS.org. https://ceur-ws.org/Vol-3485/paper6908.pdf

Schultz, C. P. L., Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G. & Kamari, A. (2023). Towards a human-centred framework for representing and reasoning about social values in buildings. 1-10. Afhandling præsenteret på 30th EG-ICE: International Conference on Intelligent Computing in Engineering. https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/towards_a_human-centred_framework_for_representing_and_reasoning_about_social_values_in_buildings.pdf

Kakavandi, F., Gomes, C., de Reus, R., Badstue, J., Jensen, J. L., Larsen, P. G. & Iosifidis, A. (2023). Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study. I E. Karaarslan, Ö. Aydin, Ü. Cali & M. Challenger (red.), Digital Twin Driven Intelligent Systems and Emerging Metaverse (s. 39-64). Springer. https://doi.org/10.1007/978-981-99-0252-1_2

Sergeeva, A. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

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

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

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

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

Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.

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

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

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

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

Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. I ICAIF 2023 - 4th ACM International Conference on AI in Finance (s. 541-548). Association for Computing Machinery. https://doi.org/10.1145/3604237.3626863

Naveed, K., Meldgaard Madsen, L., Grombacher, D. & Larsen, J. J. (2023). Variational Mode Decomposition-Based Processing of Time-Domain Induced Polarization Data. Abstract fra NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320133

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2023). Variational Neural Networks. Procedia Computer Science, 222, 104-113. https://doi.org/10.1016/j.procs.2023.08.148

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. I 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (s. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810

Akhbari, A., Rahimi, M. & Khooban, M. H. (2023). Various Control Strategies Performance Assessment of the DFIG wind turbine connected to a DC grid. IET Electric Power Applications, 17(5), 687-708. https://doi.org/10.1049/elp2.12297

Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Fathollahi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 65-75. https://doi.org/10.1109/TETCI.2022.3168507

Adamsen, A. P. S., Kastensand, M., Larsen, P. F., Kristensen, E. F., Kristensen, J. K., Holm, M. & Guldberg, L. B. (2023). Weekly discharge of slurry with collection and destruction of methane gases from covered manure slurry storages can more than halve climate gas emissions from pig production. Abstract fra Agri Food and Climate Circle 2023, Copenhagen, Danmark.

Böhnert, T., Rezaeiyan, Y., Claro, M. S., Benetti, L., Jenkins, A. S., Farkhani, H., Moradi, F. & Ferreira, R. (2023). Weighted spin torque nano-oscillator system for neuromorphic computing. Nature Communication Engineering, 2(1), Artikel 65. https://doi.org/10.1038/s44172-023-00117-9

Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. I B. Williams, Y. Chen & J. Neville (red.), AAAI-23 Technical Tracks 7 (s. 8421-8429). Artikel 190493 AAAI Press. https://doi.org/10.1609/aaai.v37i7.26015

Tajalli, S. A. M., Tajalli , S. Z., Homayounzadeh, M. & Khooban, M. H. (2023). Zero-Carbon Power-to-Hydrogen Integrated Residential System Over a Hybrid Cloud Framework. IEEE Transactions on Cloud Computing , 11(3), 3099-3110. https://doi.org/10.1109/TCC.2023.3257995

Taurone, F., Lucani Rötter, D. E. & Zhang, Q. (2023). Zip to Zip-it: Compression to Achieve Local Differential Privacy. I GLOBECOM 2023 - 2023 IEEE Global Communications Conference (s. 2196-2201). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437448

Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. I A. Iosifidis & A. Tefa (red.), Deep Learning for Robot Perception and Cognition (s. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X

Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, Artikel 105017. https://doi.org/10.1016/j.cageo.2021.105017

Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Augustin, L., Volet, N. & Heck, M. (2022). A 10-kHz intrinsic linewidth coupled extended-cavity DBR laser monolithically integrated on an InP platform. Optics Letters, 47(9), 2346-2349 . https://doi.org/10.1364/OL.454478

Ghanatian, H., Farkhani, H., Rezaeiyan, Y., Bohnert, T., Ferreira, R. & Moradi, F. (2022). A 3-Bit Flash Spin-Orbit Torque (SOT)-Analog-to-Digital Converter (ADC). IEEE Transactions on Electron Devices, 69(4), 1691-1697. https://doi.org/10.1109/TED.2022.3142649

Kamari, A., Kotula, B. M. & Schultz, C. P. L. (2022). A BIM-based LCA tool for sustainable building design during the early design stage. Smart and Sustainable Built Environment, 11(2), 217-244. https://doi.org/10.1108/SASBE-09-2021-0157

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2022). Accurate detection and identification of insects from camera trap images with deep learning. bioRxiv. https://doi.org/10.1101/2022.10.25.513484

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, Artikel e13837. https://doi.org/10.7717/peerj.13837

Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), Artikel 014001. https://doi.org/10.1088/1361-6463/ac28bb

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