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Department of Electrical and Computer Engineering

Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

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Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. In 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685613

Yazdani, N., Kouvelas, N., Lucani Rötter, D. E. & Prasad, R. V. (2022). Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames. In IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 235-243). IEEE. https://doi.org/10.1109/SECON55815.2022.9918571

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

Yao, H., Guo, D., Zhao, X., Zang, Y., Yan, C., Lei, T. & Wang, H. (2026). Unbalanced bandwidth Mel-spectrum based stability recognition network for underwater acoustic target. Digital Signal Processing: A Review Journal, 178, Article 106147. https://doi.org/10.1016/j.dsp.2026.106147

Yalsavar, M., Karimaghaee, P., Sheikh-Akbari, A., Khooban, M. H., Dehmeshki, J. & Al-Majeed, S. (2022). Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control. IEEE Access, 10, 17003-17017. https://doi.org/10.1109/ACCESS.2022.3150001

Yaacob, H., Hossain, F., Shari, S., Khare, S. K., Ooi, C. P. & Rajendra Acharya, U. (2023). Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022). IEEE Access, 11, 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382

Xu, L., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2022). Saliency-based Weighted Multilabel Linear Discriminant Analysis. IEEE Transactions on Cybernetics, 52(10), 10200-10213. https://doi.org/10.1109/TCYB.2021.3069338

Wu, Q. F., Jochum, M., Avery, J. E., Vettoretti, G. & Nuterman, R. (2025). Machine Guided Derivation of the Atlantic Meridional Overturning Circulation (AMOC) Strength. Geophysical Research Letters, 52(3), Article e2024GL113454. https://doi.org/10.1029/2024GL113454

Wu, H., Liao, Y., Hadi Mogavi, R., Hui, P. & Zhou, P. Y. (2025). Deepfake in the Metaverse: An Outlook Survey. In X. Fang (Ed.), HCI in Games : 7th International Conference, HCI-Games 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings (pp. 253-267). Springer. https://doi.org/10.1007/978-3-031-92578-8_17

Wu, S., Deng, S., Wei, X., Asif, M. R., Vignoli, G. & Farquharson, C. G. (2025). Frontiers in electromagnetic geophysics - Introduction. Geophysics, 90(3), WAi-WAii. https://doi.org/10.1190/geo2025-0312-spseintro.1

Wright, T., Gomes, C. & Woodcock, J. (2022). Formally Verified Self-adaptation of an Incubator Digital Twin. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (pp. 89-109). Springer. https://doi.org/10.1007/978-3-031-19762-8_7

Wright, T., Dennis, L. A., Woodcock, J. & Foster, S. (2025). Formal Verification of BDI Agents. In M. Hinchey & B. Steffen (Eds.), The Combined Power of Research, Education, and Dissemination: Essays Dedicated to Tiziana Margaria on the Occasion of Her 60th Birthday (pp. 302-326). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-73887-6_20

Woodcock, J. & Larsen, P. G. (1995). Guest Editorial: Introduction to Special Section. IEEE Transactions on Software Engineering, 21, 61-62. https://doi.org/10.1109/TSE.1995.10000

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

Woodcock, J. (2025). Farewell Editorial. Formal Aspects of Computing, 37(4), Article 26. https://doi.org/10.1145/3773042

Winnard, C., Mikkelsen, K., Kidmose, P. & Pearce, M. (2026). Music emotion recognition with cEEGrid. Journal of Neural Engineering, 23(4). https://doi.org/10.1088/1741-2552/ae94b1

Wilinski, M., Goel, A., Iosifidis, A. & Kanniainen, J. (2026). Classifying and clustering trading agents. Quantitative Finance, 26(6), 879-901. https://doi.org/10.1080/14697688.2026.2651768

Wewer, C. R. & Iosifidis, A. (2023). Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10218063

Wewer, C. R., Mahapatra, H., Esterle, L. & Larsen, P. G. (2024). Using FactoryML for Deployment of Machine Learning Models in Industrial Production. In T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (Eds.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 IEEE. https://doi.org/10.1109/ETFA61755.2024.10710938

Wewer, C. R. (2024). Improving Filter Insert Performance and Quality using Data Analytics. [PhD dissertation, Aarhus University].

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

Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K., Zhang, Q. & Guo, M. (2022). Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

Wang, Z., Gao, R., Wang, P. & Chen, H. (2023). A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm. Technological Forecasting and Social Change, 191, Article 122504. https://doi.org/10.1016/j.techfore.2023.122504

Wang, Z., Chen, L., Chen, H. & Rehman, N. U. (2023). Monthly ship price forecasting based on multivariate variational mode decomposition. Engineering Applications of Artificial Intelligence, 125, Article 106698. https://doi.org/10.1016/j.engappai.2023.106698

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. Quantum Information and Computation, 9(1), Article 94. https://doi.org/10.1038/s41534-023-00761-1

Wang, X., Mukherjee, M., Kumar, V., Mavromoustakis, C. X., Shoufan, A., Guo, M. & Zhang, Q. (2023). Rendering Delay Minimization in RIS-assisted Edge Computing for IIoT with VR Streaming. In 2023 IEEE Globecom Workshops, GC Wkshps 2023 (pp. 1319-1324). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465022

Wang, X., Berardinelli, G., Cheng, H. V., Popovski, P. & Adeogun, R. (2025). Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication. 61-66. https://doi.org/10.1109/EuCNC/6GSummit63408.2025.11036884

Wang, Z., Chen, L., Chen, H., Yang, J. & Rehman, N. U. (2025). Graph signal processing meets machine learning: Multi-scale spatial-temporal ensemble learning methodology for air quality forecasting. Expert Systems with Applications, 291, Article 128538. https://doi.org/10.1016/j.eswa.2025.128538

Wang, Z., Chen, H., Zhu, J. & Ding, Z. (2026). Ternary Interval Forecasting of Air Pollutant Concentration: A Novel Multivariate Decomposition and Optimal Variable Weight Ensemble Paradigm. Journal of Forecasting, 45(2), 670-698. https://doi.org/10.1002/for.70027

Wang, Z., Tai, C. L. A., Zhou, P., Shi, Y. & Lee, L. H. (2026). VTPPG: End-to-end Video-Transformed Persona Poem Generation. Cognitive Computation, 18(1), Article 31. https://doi.org/10.1007/s12559-026-10556-z

Wan, S., Chen, C. & Iosifidis, A. (2022). Editorial to special issue on cross-media learning for visual question answering. Image and Vision Computing, 118, Article 104355. https://doi.org/10.1016/j.imavis.2021.104355

Waheed, H., Akram, W., Islam, S. U., Hadi, A., Boudjadar, J. & Zafar, N. (2023). A Mobile-Based System for Detecting Ginger Leaf Disorders Using Deep Learning. Future Internet, 15(3), Article 86. https://doi.org/10.3390/fi15030086

Wagner, S. R. (2020). HEUCOD draft recommendation.

Wagner, S. R., Eriksen, C. L. D., Hede, B. & Christensen, L. B. (2021). Toothbrushing compliance tracking in a nursing home setting using telemonitoring-enabled powered toothbrushes. British Dental Journal. https://doi.org/10.1038/s41415-021-3169-7

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/

Wagner, S., Rosian-Schikuta, I. & Cabral, J. (2022). Oral-care adherence. Service design for nursing homes – initial caregiver reactions and socio-economic analysis. GMS German Medical Science, 20, Article Doc04. https://doi.org/10.3205/000306

Wagner, S. R., Gregersen, R. R., Henriksen, L., Hauge, E. M. & Keller, K. K. (2022). Smartphone Pedometer Sensor Application for Evaluating Disease Activity and Predicting Comorbidities in Patients with Rheumatoid Arthritis: A Validation Study. Sensors, 22(23), Article 9396. https://doi.org/10.3390/s22239396

Wagner, S. (2021). CARIOT+ Care Coach – An Ambient Assisted Living Ecosystem for Supporting Open Data and Open Science Projects. In E. Pissaloux, G. A. Papadopoulos, A. Achilleos & R. Velázquez (Eds.), ICT for Health, Accessibility and Wellbeing - 1st International Conference, IHAW 2021, Revised Selected Papers (pp. 45-59). Springer Science+Business Media. https://doi.org/10.1007/978-3-030-94209-0_5

Voros, N. S., Snook, C. F., Hallerstede, S. & Masselos, K. (2005). Embedded system design using formal model refinement: An approach based on the combined use of UML and the B language. Design Automation for Embedded Systems, 9(2), 67-99. https://doi.org/10.1007/s10617-005-1184-6

Volet, N., Ulsig, E. Z., Degli-Eredi, I., Tønning, P. & Stanton, E. J. (2021). Walk-off effect in nonlinear crystals suitable for UVC generation. In P. G. Schunemann & K. L. Schepler (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Article 116701O SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581674

Vindbjerg, L. K. & Esterle, L. (2024). Generative Models for Temporal-based Task Definition. 109-114. Paper presented at 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems. https://doi.org/10.1109/ACSOS-C63493.2024.00040

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

Villa-Henriksen, A., Edwards, G. T. C., Green, O. & Sørensen, C. A. G. (2021). Evaluation of grain quality-based simulated selective harvest performed by an autonomous agricultural robot. Agronomy, 11(9), Article 1728. https://doi.org/10.3390/agronomy11091728

Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. [PhD dissertation, Aarhus University]. Aarhus Universitet. https://doi.org/10.7146/aul.434

Villadsen, K., Dalgaard Jensen, M., Larsen, P. G. & Macedo, H. D. (2022). Bridging the Requirements-Specification Gap using Behaviour-Driven Development. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 19-33) https://doi.org/10.48550/arXiv.2208.10233

Vijayalakshmi, M., Wang, R., Raghava Reddy, K., Reddy, C. V., Bandaru, N., Dudem, B., Shim, J. & Aminabhavi, T. M. (2025). Hierarchical g-C₃N₄-nanosheet-covered nickel cobalt vanadate hydroxide porous fibrous array hybrid electrodes for high performance asymmetric supercapacitors. Chemical Engineering Journal, 512, Article 162043. https://doi.org/10.1016/j.cej.2025.162043

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

Vestergaard, R., Zhang, Q., Sipos, M. & Lucani Rötter, D. E. (2021). Titchy: Online Time-series Compression with Random Access for the Internet of Things. IEEE Internet of Things Journal, 8(24), 17568-17583. https://doi.org/10.1109/JIOT.2021.3081868

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2021: Proceedings Article 9484460 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

Vestergaard, R., Pagnin, E., Kundu, R. & Lucani, D. E. (2022). Secure Cloud Storage with Joint Deduplication and Erasure Protection. In C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa & J. Zhang (Eds.), 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (pp. 554-563). IEEE. https://doi.org/10.1109/CLOUD55607.2022.00078

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