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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Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Artikel 111029. https://doi.org/10.1016/j.patcog.2024.111029

Koolivand, Y., Mosalmani, A., Rezaeiyan, Y., Esmailbeygi, H., Hatamzadeh, E., Zamani, M. & Moradi, F. (2024). A 65nm 3mA 0.14-m-Accuracy TDR Based Leak Detection SoC for District Heating Networks with I/C Calibration Technique. I Proceedings of the Custom Integrated Circuits Conference IEEE. https://doi.org/10.1109/CICC60959.2024.10528962

Koolivand, Y., Rezaeiyan, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T. & Moradi, F. (2024). A 69MHz-Bandwidth 40V/μ s-Slew-Rate 3n V/√Hz-Noise 4.5 μ V-Offset Chopper Operational Amplifier. IEEE Transactions on Circuits and Systems I: Regular Papers, 71(7), 2977-2988. https://doi.org/10.1109/TCSI.2024.3374428

Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y. & Zhou, P. (2024). A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. I L.-W. Ku, A. Martins & V. Srikumar (red.), 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference (s. 3670-3685). Association for Computational Linguistics (ACL).

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

Kristoffersen, A. E., Schultz, C. P. L. & Kamari, A. (2024). A critical comparison of concepts and approaches to social sustainability in the construction industry. Journal of Building Engineering , 91, Artikel 109530. https://doi.org/10.1016/j.jobe.2024.109530

Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Adapting to the Agricultural Labor Market Shaped by Robotization. Sustainability, 16(16), Artikel 7061. https://doi.org/10.3390/su16167061

Fathollahi, A. & Andresen, B. (2024). Adaptive Fixed-Time Control strategy of Generator Excitation and Thyristor-Controlled Series Capacitor in Multi-Machine Energy Systems. IEEE Access, 12, 100316-100327. https://doi.org/10.1109/ACCESS.2024.3430199

Han, G., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Adaptive prescribed performance based on recursive nonsingular terminal sliding mode control for quad-rotor systems under uncertainty and disturbance: real-time validation. Aerospace Science and Technology, 147, Artikel 109028. https://doi.org/10.1016/j.ast.2024.109028

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of floral environments and insect populations. bioRxiv. https://doi.org/10.1101/2024.04.12.589205

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments. Ecological Informatics, 84, Artikel 102861. https://doi.org/10.1016/j.ecoinf.2024.102861

Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024). A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs. International Journal of Engineering Education, 40(4), 801-814.

Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 209-221). Springer. https://doi.org/10.1007/978-3-031-66719-0_10

Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. Aarhus University.

Nordtorp, F., Baş, E. E., Gomes, C. & Abbiati, G. (2024). A Hybrid Testing Framework for Wind Turbine Mechanical Components. Journal of Physics: Conference Series, 2767(5), Artikel 052046. https://doi.org/10.1088/1742-6596/2767/5/052046

Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. I Proceedings of the 6th IFAC International Workshop on Advance Maintenance Engineering, Services and Technology (AMEST 2024) (8 udg., Bind 58, s. 162-167). Elsevier. https://doi.org/10.1016/j.ifacol.2024.08.067

Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. I J. Cámara & S.-S. Jongmans (red.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 udg., s. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3

Mahto, K. K., Mahato, B., Chandan, B., Das, D., Das, P., Kumari, S., Vita, V., Pavlatos, C. & Fotis, G. (2024). A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components. Technologies, 12(6), Artikel 90. https://doi.org/10.3390/technologies12060090

Hurst, A. (2024). Analytics Directly on Compressed IoT Data. Aarhus University.

Shahgholian, G. & Fathollahi, A. (2024). Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System. AppliedMath, 4(2), 452-467. https://doi.org/10.3390/appliedmath4020024

Grombacher, D., Griffiths, M. P., Kass, M. A. & Larsen, J. J. (2024). An investigation of factors affecting the depths of steady-state surface nuclear magnetic resonance signals. Geophysics, 89(2), J9-J17. https://doi.org/10.1190/geo2023-0068.1

Khare, S. K., McLachlan, P., Maurya, P. K. & Larsen, J. J. (2024). An optimized and hybrid gating scheme for the suppression of very low-frequency radios in transient electromagnetic systems. Geoscientific Instrumentation, Methods and Data Systems, 13(1), 27-41. https://doi.org/10.5194/gi-13-27-2024

Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Artikel nsae026. https://doi.org/10.1093/scan/nsae026

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

Lee, L.-H., Hosio, S., Braud, T. & Zhou, P. (2024). A Roadmap Toward Metaversity: Recent Developments and Perspectives in Education. I D. Liu, R. Huang, A. H. S. Metwally, A. Tlili & E. Fan Lin (red.), Application of the Metaverse in Education (s. 73-95). Springer Nature. https://doi.org/10.1007/978-981-97-1298-4_5

Cai, X. & Cheng, H. V. (2024). Array Pattern Synthesis with Discrete Phases for Reconfigurable Intelligent Surfaces. I 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (s. 741 - 745). IEEE. https://doi.org/10.1109/SPAWC60668.2024.10694155

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

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2024). Automated performance assessment of prevention through design and planning (PtD/P) strategies in construction. Automation in Construction, 157, Artikel 105159. https://doi.org/10.1016/j.autcon.2023.105159

Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfguration Enabled by Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14

Rouhani, S. H., Su, C.-L., Mobayen, S., Esmaeili Shayan, M., Khooban, M. H. & Elsisi, M. (2024). Barrier-Function Adaptive Finite-Time Trajectory Tracking Controls for Cyber Resilience in Smart Grids Under an Electricity Market Environment. IEEE Transactions on Smart Grid, 15(6), 6031-6047. https://doi.org/10.1109/TSG.2024.3417704

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

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

Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6

Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Li, B. & Schultz, C. P. L. (2024). Clingo2DSR - A clingo-based software system for declarative spatial reasoning. Spatial Cognition & Computation. https://doi.org/10.1080/13875868.2024.2324875

Strøm, J., Engholm, A. L., Lorenzen, K. P. & Mikkelsen, K. B. (2024). Common sleep data pipeline for combined data sets. PLOS ONE, 19(8), Artikel e0307202. https://doi.org/10.1371/journal.pone.0307202

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

Ferro, M. V., Sørensen, C. G. & Catania, P. (2024). Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images. Computers and Electronics in Agriculture, 225, Artikel 109277. https://doi.org/10.1016/j.compag.2024.109277

Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G. (2024). Computer vision and deep learning in insects for food and feed production: A review. Computers and Electronics in Agriculture, 216, Artikel 108503. https://doi.org/10.1016/j.compag.2023.108503

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2024). Computer-vision based prediction of body traits and larval sex in black soldier fly. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Dong, L., Yang, W., Wen, L., Zhao, X., Claus, A. G. S., Wu, C. & Zhou, K. (2024). Continuous curvature wayline generation using quadratic optimisation for agricultural machine guidance. Biosystems Engineering, 238, 22-37. https://doi.org/10.1016/j.biosystemseng.2023.12.009

Stanton, E. J., Tønning, P., Ulsig, E. Z., Calmar, S., Stanton, M. A., Thomsen, S. T., Gravesen, K. B., Johansen, P. & Volet, N. (2024). Continuous-wave second-harmonic generation in the far-UVC pumped by a blue laser diode. Scientific Reports, 14(1), Artikel 3238. https://doi.org/10.1038/s41598-024-53144-7

Hansen, S. T., Thule, C., Gomes, C., Lausdahl, K. G., Madsen, F. P., Abbiati, G. & Larsen, P. G. (2024). Co-simulation at different levels of expertise with Maestro2. Journal of Systems and Software, 209, Artikel 111905. https://doi.org/10.1016/j.jss.2023.111905

Minh Nguyen, Q., Tran, D. T., Kanniainen, J., Iosifidis, A. & Gabbouj, M. (2024). Cryptocurrency Portfolio Optimization by Neural Networks. I 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (s. 25-32). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371855

Zhan, C., Wan, D., Han, Y., Zhang, J., Liu, S., Liu, H., Hu, T., Xiao, W., Cao, J. & Li, D. (2024). Decadal trends of black carbon and heavy metal accumulation in a lake sediment core from central China: A historical perspective. Catena, 247, Artikel 108513. https://doi.org/10.1016/j.catena.2024.108513

Fathollahi, A. & Andresen, B. (2024). Deep deterministic policy gradient for adaptive power system stabilization and voltage regulation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, Artikel 100675. https://doi.org/10.1016/j.prime.2024.100675

Pauwels, R. & Iosifidis, A. (2024). Deep Learning in Image Processing: Part 1—Types of Neural Networks, Image Segmentation. I Artificial Intelligence in Dentistry (s. 283-316). Springer. https://doi.org/10.1007/978-3-031-43827-1_17

Pauwels, R. & Iosifidis, A. (2024). Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration. I K. Orhan & R. Jagtap (red.), Artificial Intelligence in Dentistry (s. 317-351). Springer. https://doi.org/10.1007/978-3-031-43827-1_18

Kuntuarova, S., Licklederer, T., Huynh, T., Zinsmeister, D., Hamacher, T. & Perić, V. (2024). Design and simulation of district heating networks: A review of modeling approaches and tools. Energy, 305, Artikel 132189. https://doi.org/10.1016/j.energy.2024.132189

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