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

Sortér efter: Dato | Forfatter | Titel

Villa-Henriksen, A., Skou-Nielsen, N., Munkholm, L. J., Sørensen, C. A. G., Green, O. & Edwards, G. T. C. (2021). Infield optimized route planning in harvesting operations for risk of soil compaction reduction. Soil Use and Management, 37(4), 810-821. https://doi.org/10.1111/sum.12654

Shi, L., Mehrooz, G. & Jacobsen, R. H. (2021). Inspection Path Planning for Aerial Vehicles via Sampling-based Sequential Optimization. I 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 (s. 679-687). Artikel 9476784 IEEE. https://doi.org/10.1109/ICUAS51884.2021.9476784

Mosayebi, M., Sadeghzadeh, S. M., Gheisarnejad, M. & Khooban, M. H. (2021). Intelligent and Fast Model-Free Sliding Mode Control for Shipboard DC Microgrids. IEEE Transactions on Transportation Electrification, 7(3), 1662-1671. Artikel 9311751. https://doi.org/10.1109/TTE.2020.3048552

Boudjadar, J. & Beck, M. M. (2021). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. Afhandling præsenteret på Intelligent Systems Conference , Amsterdam, Holland.

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Artikel 9371681. https://doi.org/10.1109/ACCESS.2021.3064382

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Iosifidis, A. & Larsen, P. G. (2021). Introduction to Digital Twin Engineering. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (s. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552135

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C. & Kidmose, P. (2021). Investigation of low dimensional feature spaces for automatic sleep staging. Computer Methods and Programs in Biomedicine, 205, Artikel 106091. https://doi.org/10.1016/j.cmpb.2021.106091

Amiri, M., Dehghani, M., Khayatian, A., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Investigation of Wind Energy Impact on Power Systems Stability Using Lyapunov Exponents. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 12-22). Springer. https://doi.org/10.1007/978-3-030-65796-3_2

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). IrradianceNet: Spatiotemporal Deep Learning Model for Satellite-Derived Solar Irradiance Nowcasting. Solar Energy, 228, 659-669. https://doi.org/10.1016/j.solener.2021.09.073

Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. I 2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021 (s. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398

Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. I 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

Bozcan, I. (2021). Learning-based Anomaly Detection for Aerial Surveillance. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Laakom, F., Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Learning to ignore: rethinking attention in CNNs. I 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05684.pdf

Esterle, L. & King, D. W. (2021). Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms. ACM Transactions on Autonomous and Adaptive Systems, 16(2), Artikel 5. https://doi.org/10.1145/3502725

Balauroiu, M., Ruf, F., Volet, N. & Heck, M. (2021). Low-loss all-optical ns-switching for scalable quantum photonic links. Poster-session præsenteret på Photonic Links for Quantum Technology Platforms.

Spasaro, M. (2021). Low-Power Radio-Frequency Low Noise Amplifiers for Future Wireless Transceivers. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z. & Khooban, M. H. (2021). Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain. I E E E Sensors Journal, 21(6), 8245-8252. Artikel 9285309. https://doi.org/10.1109/JSEN.2020.3042937

Bording, T. S., Asif, M. R., Barfod, A. S., Larsen, J. J., Zhang, B., Grombacher, D. J., Christiansen, A. V., Engebretsen, K. W., Pedersen, J. B., Maurya, P. K. & Auken, E. (2021). Machine learning based fast forward modelling of ground-based time-domain electromagnetic data. Journal of Applied Geophysics, 187, Artikel 104290. https://doi.org/10.1016/j.jappgeo.2021.104290

Boettjer, T., Krogshave, J. T. & Ramanujan, D. (2021). Machine-specific estimation of milling energy consumption in detailed design. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 143(8), Artikel 081010. https://doi.org/10.1115/1.4050179

Weiß., G., Pietraroia., D., Sassanelli., C. & Macedo., H. (2021). Manufacturing Process Simulation in a Hybrid Cloud Setup. I Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2021 (s. 49-58). SCITEPRESS Digital Library. https://doi.org/10.5220/0010641700003062

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

Yazdani, N. (2021). Massive-Scale IoT Dynamic Data Updating and Compression for a Scalable IoT Infrastructure. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Yuksel, O., Sandberg, M., Hattel, J. H., Akkerman, R. & Baran, I. (2021). Mesoscale Process Modeling of a Thick Pultruded Composite with Variability in Fiber Volume Fraction. Materials, 14(13), Artikel 3763. https://doi.org/10.3390/ma14133763

Khezri, R., Mahmoudi, A. & Khooban, M. H. (2021). Microgrids planning for residential electrification in rural areas. I S. Padmanaban, P. Sivaraman, C. Sharmeela & J. B. Holm-Nielsen (red.), Residential Microgrids and Rural Electrifications (s. 1-25). Academic Press. https://doi.org/10.1016/B978-0-323-90177-2.00014-1

Nielsen, L., Burihabwa, D., Schiavoni, V., Felber, P. & Lucani Rötter, D. E. (2021). MinervaFS: A User-Space File System for Generalised Deduplication. I International Symposium on Reliable Distributed Systems (SRDS) IEEE. https://doi.org/10.1109/SRDS53918.2021.00033

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. Artikel 9328872. https://doi.org/10.1109/TCSII.2021.3053160

Banaei, M., Oloomi‐buygi, M., Raouf‐Sheybani, H. & Khooban, M. H. (2021). Mixed supply function‐Cournot equilibrium model of futures and day‐ahead electricity markets. IET Generation, Transmission & Distribution, 15(10), 1640-1654. https://doi.org/10.1049/gtd2.12123

Feng, H., Gomes, C., Iosifidis, A. & Larsen, P. G. (2021). Model-based monitoring and state estimation for digital twins: The Kalman filter. I C. R. Martin, M. J. Blas & A. I. Psijas (red.), Annual Modeling and Simulation Conference (ANNSIM 2021) (s. 1-2)

Samboju, S. K., Tanjavooru, V. T., Zinsmeister, D. & Peric, V. S. (2021). Modeling of combined heat and power generation unit for dynamic analysis of integrated thermal-electric grids∗. I Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems Artikel 11 Association for Computing Machinery. https://doi.org/10.1145/3470481.3472711

Böttjer, T., Sandberg, M., Larsen, P. G. & Macedo, H. D. (2021). Modelling an Injection Moulding Machine using the Vienna Development Method. I H. D. Macedo, C. Thule & K. Pierce (red.), Proceedings of the 19th International Overture Workshop (s. 51-65) https://arxiv.org/abs/2110.09371

Kulik, T., Macedo, H. D., Talasila, P. & Larsen, P. G. (2021). Modelling the HUBCAP Sandbox Architecture In VDM: A Study In Security. I J. Fitzgerald, T. Oda & H. D. Macedo (red.), Proceedings of the 18th International Overture Workshop (s. 20-35) https://arxiv.org/pdf/2101.07261.pdf

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Iraji, M., Dehghani, M., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Motor Current Signature Analysis Using Shapelet. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 23-33). Springer. https://doi.org/10.1007/978-3-030-65796-3_3

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Multi-Exit Vision Transformer for Dynamic Inference. I The 32nd British Machine Vision Conference https://www.semanticscholar.org/paper/Multi-Exit-Vision-Transformer-for-Dynamic-Inference-Bakhtiarnia-Zhang/26f61039857423c0aad2c44f0e7769cbb61246c9

Tran, D. T., Yamac, M., Degerli, A., Gabbouj, M. & Iosifidis, A. (2021). Multilinear compressive learning. IEEE Transactions on Neural Networks and Learning Systems, 32(4), 1512-1524. Artikel 9070152. https://doi.org/10.1109/TNNLS.2020.2984831

Gheisarnejad Chirani, M. & Khooban, M. H. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. I Design, Control, and Operation of Microgrids in Smart Grids: Power Systems (s. 1-26). Springer. https://doi.org/10.1007/978-3-030-64631-8_1

Naveed, K., Mukhtar, S. & Ur Rehman, N. (2021). Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis. I 2021 IEEE Statistical Signal Processing Workshop, SSP 2021 (s. 441-445). IEEE. https://doi.org/10.1109/SSP49050.2021.9513823

Marandi, S. A., Sehat, H., Lucani Rötter, D. E., Mousavifar, S. & Jacobsen, R. H. (2021). Network Coding-based Data Storage and Retrieval for Kademlia. I 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Artikel 9448845 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9448845

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG: Bringing EEG music studies into the concert hall . Poster-session præsenteret på Rhythm Production and Perception Workshop 2021, Oslo, Norge.

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG. Poster-session præsenteret på Advances and Perspectives in Auditory Neuroscience, USA.

Bozorgasli, Z., Foroozan, H., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). New Trends on Digital Twin-Based Blockchain Technology in Zero-Emission Ship Applications. Naval Engineers Journal, 133(3), 115-135. http://bt.e-ditionsbyfry.com/publication/?m=63540&i=721756&view=articleBrowser&article_id=4109541&ver=html5

Abrazeh, S., Parvaresh, A., Mohseni, S.-R., Jahanshahi Zeitouni, M., Gheisarnejad, M. & Khooban, M. H. (2021). Nonsingular Terminal Sliding Mode Control With Ultra-Local Model and Single Input Interval Type-2 Fuzzy Logic Control for Pitch Control of Wind Turbines. IEEE/CAA Journal of Automatica Sinica, 8(3), 690-700. Artikel 9346074. https://doi.org/10.1109/JAS.2021.1003889

Dormann, F., Frisk, O., Andersen, L. N. & Pedersen, C. F. (2021). Not All Noise Is Accounted Equally: How Differentially Private Learning Benefits From Large Sampling Rates. I 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021 IEEE. https://doi.org/10.1109/MLSP52302.2021.9596307

Vahdanjoo, M. & Grøn Sørensen, C. (2021). Novel Route Planning Method to Improve the Operational Efficiency of Capacitated Operations. Case: Application of Organic Fertilizer. AgriEngineering, 3(3), 458-477. https://doi.org/10.3390/agriengineering3030031

Kouvelas, N., Prasad, R. V., Yazdani, N. & Lucani Rötter, D. E. (2021). np-CECADA: Enhancing Ubiquitous Connectivity of LoRa Networks. I Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021 (s. 374-382). IEEE. https://doi.org/10.1109/MASS52906.2021.00054

Wagner, S. R. (2021). Nye smarte teknologier er på vej – hvordan får almensektoren det bedste ud af dem? Månedsskrift for Almen Praksis, 2021(Juni/juli), 470-478. https://www.maanedsskriftet.dk/mpl/2021/344/12755/

Abu-Ghaida, H., Leka, S., Kunrath, K., Thostrup, R. & Ramanujan, D. (2021). Økoengineer – A Web-Based Game Platform for Guided Discovery-Based Sustainability Learning in Engineering Curricula. I 18th International Conference on Design Education (DEC): 18th International Conference on Design Education (DEC) (Bind 4). Artikel DETC2021-69406, V004T04A014 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2021-69406

Vestergaard, R., Hanna, O., Song, L., Lucani Rötter, D. E. & Fragouli, C. (2021). On Coded Broadcasting for Wireless Recommendation Systems. I ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500829

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). On Feature Diversity in Energy-based models. Afhandling præsenteret på International Conference on Learning Representations Workshop on Energy-Based Models, , Vienna. https://openreview.net/pdf?id=ks3Q08yy66r

Yazdani, N. & Lucani Rötter, D. E. (2021). Online Compression of Multiple IoT Sources Reduces the Age of Information. IEEE Internet of Things Journal, 8(19), 14514-14530. https://doi.org/10.1109/JIOT.2021.3064511

Viser resultater 1201 til 1250 ud af 1421

Forrige

Næste

Revideret 30.12.2025

AU Engineering