Aarhus Universitets segl

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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Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023). A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. I G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (s. 189-199). Springer. https://doi.org/10.1007/978-3-031-29548-5_13
Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. I M. Zorzi, M. Tao & W. Saad (red.), ICC 2023 - IEEE International Conference on Communications (s. 967-972). IEEE. https://doi.org/10.1109/ICC45041.2023.10279110
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., 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
Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. https://doi.org/10.1049/pel2.12486
Sejersen, J. L. F. & Kayacan, E. (2023). CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. 9254-9261. Afhandling præsenteret på 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA. https://doi.org/10.1109/IROS55552.2023.10341937
Taurone, F., Lucani Rötter, D. E., Fehér, M. & Zhang, Q. (2023). Change a Bit to save Bytes: Compression for Floating Point Time-Series Data. I M. Zorzi, M. Tao & W. Saad (red.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (s. 3756-3761). IEEE. https://doi.org/10.1109/ICC45041.2023.10279204
Chen, J., Liang, Y. C., Cheng, H. V. & Yu, W. (2023). Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems. IEEE Transactions on Wireless Communications, 22(10), 6853-6869. https://doi.org/10.1109/TWC.2023.3246264
Fiorelli, R., Peralías, E., Méndez-Romero, R., Rajabali, M., Kumar, A., Zahedinejad, M., Åkerman, J., Moradi, F., Serrano-Gotarredona, T. & Linares-Barranco, B. (2023). CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range. Electronics, 12(1), Artikel 230. https://doi.org/10.3390/electronics12010230
Zhang, B., Yan, S., Li, B., Wu, S., Feng, H., Gao, X., Song, X. & Siddique, K. H. M. (2023). Combining organic and chemical fertilizer plus water-saving system reduces environmental impacts and improves apple yield in rainfed apple orchards. Agricultural Water Management, 288, Artikel 108482. https://doi.org/10.1016/j.agwat.2023.108482
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
Glukhov, A., Bridarolli, D., Ricci, S., Li, R., Shreya, S., Farkhani, H., Moradi, F. & Ielmini, D. (2023). Compact Modeling of Resistive Switching Memory (RRAM) With Voltage and Temperature Dependences. I 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (s. 793-797). IEEE. https://doi.org/10.1109/NMDC57951.2023.10343984
Meldgaard Madsen, L., Asif, M. R., Maurya, P. K., Kühl, A. K., Domenzain, D., Jensen, C., Martin, T., Bastani, M. & Persson, L. (2023). Comparison of tTEM-IP and ERT-IP: Cases from Mine Tailing Sites in Sweden. Abstract fra NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320114
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
Ulsig, E. Z., Stanton, E. J., Reddy, D. V., Shalm, K., Volet, N. & Mirin, R. (2023). Correlated Photon Pairs Obtained by SPDC in AlGaAs-OI Waveguides. I Quantum 2.0: Proceedings Optica Quantum 2.0 Conference and Exhibition (s. QTh4C-2) https://doi.org/10.1364/QUANTUM.2023.QTh4C.2
Alfalouji, Q., Schranz, T., Falay, B., Wilfling, S., Exenberger, J., Mattausch, T., Gomes, C. & Schweiger, G. (2023). Co-simulation for buildings and smart energy systems — A taxonomic review. Simulation Modelling Practice and Theory, 126, Artikel 102770. https://doi.org/10.1016/j.simpat.2023.102770
Shabani, M. (2023). Data-driven Inter-Stock Predictive Analytics. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. I 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538
Li, H., Zhang, Q. & Kuldeep, G. (2023). Demo: 3TierView: A Three-tier Privacy-preserving Live Video Surveillance IoT System. I MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (s. 594–595). Association for Computing Machinery. https://doi.org/10.1145/3581791.3597289
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
Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), Artikel 1256. https://doi.org/10.3390/app13031256
Skovsen, S. K., Kutugata, M., Jennewein, J., Reberg-Horton, C. S. & Mirsky, S. B. (2023). Detailed Species Competition Mapping of Mixed Cover Crop Species Using Tractor Mounted Color Camera and Computer Vision. Abstract fra 2023 ASA/CSSA/SSSA International Annual Meeting, St. Louis, Missouri, USA.
Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023). Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring. Neurobiology of Disease, 183, Artikel 106149. https://doi.org/10.1016/j.nbd.2023.106149
Wang, Y., Faurby, C. F. D., Ruf, F., Sund, P. I., Nielsen, K., Volet, N., Heck, M. J. R., Bart, N., Wieck, A. D., Ludwig, A., Midolo, L., Paesani, S. & Lodahl, P. (2023). Deterministic photon source interfaced with a programmable silicon-nitride integrated circuit. npj Quantum Information, 9(1), Artikel 94. https://doi.org/10.1038/s41534-023-00761-1
Øien, G. E. D. & Bennedsen, J. (2023). DEVELOPING A DIDACTIC FOUNDATION FOR THE TECH FACULTY AT AARHUS UNIVERSITY. I R. Lyng, J. Bennedsen, L. Bettaieb, N. R. Bodsberg, K. Edstrom, M. S. Guojonsdottir, J. Roslof, O. K. Solbjorg & G. Oien (red.), 19th CDIO International Conference: Proceedings - Full Papers (s. 45-55). NTNU Norwegian University of Science and Technology. https://www.ntnu.edu/documents/1308247420/0/CDIO+2023+Proceedings.pdf/6989d202-864d-52e5-fee7-15d84a281f41?t=1697116952671
Feng, H. (2023). Digital Twin Engineering with an Application to an Incubator. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.