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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Zinsmeister, D., Licklederer, T., Christange, F., Tzscheutschler, P. & Perić, V. S. (2021). A comparison of prosumer system configurations in district heating networks. Energy Reports, 7, 430-439. https://doi.org/10.1016/j.egyr.2021.08.085

Zhou, P., Chen, X., Liu, Z., Braud, T., Hui, P. & Kangasharju, J. (2021). DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV. IEEE Transactions on Intelligent Transportation Systems, 22(4), 2262-2273. Artikel 9275391. https://doi.org/10.1109/TITS.2020.3035841

Zhou, P., Braud, T., Zavodovski, A., Liu, Z., Chen, X., Hui, P. & Kangasharju, J. (2020). Edge-Facilitated Augmented Vision in Vehicle-to-Everything Networks. IEEE Transactions on Vehicular Technology, 69(10), 12187-12201. Artikel 9163287. https://doi.org/10.1109/TVT.2020.3015127

Zhou, P., Lee, L. H., Liu, Z., Qiu, H., Braud, T., Ding, A. Y., Tarkoma, S. & Hui, P. (2023). Metaverse for Connected and Automated Vehicles and Intelligent Transportation Systems [From the Guest Editors]. IEEE Vehicular Technology Magazine, 18(4), 19-21. https://doi.org/10.1109/MVT.2023.3333444

Zhou, P., Braud, T., Alhilal, A., Hui, P. & Kangasharju, J. (2019). ERL: Edge Based Reinforcement Learning for Optimized Urban Traffic Light Control. I 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 (s. 849-854). Artikel 8730706 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2019.8730706

Zhou, P., Zhang, W., Braud, T., Hui, P. & Kangasharju, J. (2019). Enhanced augmented reality applications in vehicle-to-edge networks. I A. Galis, R. Noldus, F. Idzikowski, F. Guillemin, S. Secci & M. F. Sayit (red.), Proceedings of the 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2019 (s. 167-174). Artikel 8685872 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIN.2019.8685872

Zhou, P., Zhang, W., Braud, T., Hui, P. & Kangasharju, J. (2018). ARVE: Augmented reality applications in vehicle to edge networks. I MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018 (s. 25-30). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3229556.3229564

Zhou, P. & Kangasharju, J. (2016). Profiling and grouping users to edge resources according to user interest similarity. I CAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016 (s. 43-48). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3010079.3010081

Zhao, X., Hosseinzadeh, M., Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2020). Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. I 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Artikel 367470 IEEE. https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470

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

Zelba, O., Wilderspin, S., Hubbard, A., Nellist, C. F., Mortensen, A. K., Schulz, P., Huerta-Espino, J., Singh, R. & Sørensen, C. K. (2024). The adult plant resistance (APR) genes Yr18, Yr29 and Yr46 in spring wheat showed significant effect against important yellow rust races under North-West European field conditions. Euphytica, 220(7), Artikel 107. https://doi.org/10.1007/s10681-024-03355-w

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Artikel 013009. https://doi.org/10.1103/PRXEnergy.2.013009

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 CEUR-WS.org. https://ceur-ws.org/Vol-3485/paper6908.pdf

Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024). The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. I Proceedings of the 2024 European Conference on Computing in Construction https://doi.org/10.35490/EC3.2024.186

Zavodovski, A., Bayhan, S., Mohan, N., Zhou, P., Wong, W. & Kangasharju, J. (2019). DeCloud: Truthful decentralized double auction for edge clouds. I Proceedings - 2019 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019 (s. 2157-2167). Artikel 8885067 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2019.00212

Zavodovski, A., Corneo, L., Johnsson, A., Mohan, N., Bayhan, S., Zhou, P., Wong, W. & Kangasharju, J. (2021). Decentralizing Computation with Edge Computing: Potential and Challenges. I IWCI 2021 - Proceedings of the 2021 ACM CoNEXT Interdisciplinary Workshop on (de)Centralization in the Internet, Part of ACM CoNEXT 2021 (s. 34-36). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3488663.3493689

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

Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D., Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022). Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms. Array, 14, Artikel 100176. https://doi.org/10.1016/j.array.2022.100176

Zamani, M., Rezaeiyan, Y., Huynh, H. A., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 2.3-μW Capacitively Coupled Chopper-Stabilized Neural Amplifier with Input Impedance of 6.7 GΩ. IEEE Solid-State Circuits Letters, 4, 133 - 136. Artikel 9471814. https://doi.org/10.1109/LSSC.2021.3094237

Zamani, M., Ronchini, M., Huynh, H. A., Farkhani, H. & Moradi, F. (2021). Flexible energy-efficient implementation of adaptive spiking encoder for neuromorphic processors. I 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings Artikel 9401103 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS51556.2021.9401103

Zahra, A., Kanwal, N., Rehman, N. U., Ehsan, S. & McDonald-Maier, K. D. (2017). Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition. Computers in Biology and Medicine, 88, 132-141. https://doi.org/10.1016/j.compbiomed.2017.07.010

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

Yildiz, E., Møller, C., Bilberg, A. & Rask, J. K. (2021). Virtual Prototyping: Evaluating the Digital Twin Based Virtual Factory for New Product Introduction. Complex Systems Informatics and Modeling Quarterly, 29(29), 1-16. Artikel 163. https://doi.org/10.7250/csimq.2021-29.01

Yildirim, B., Gheisarnejad, M. & Khooban, M. H. (2021). Delay-Dependent Stability Analysis of Modern Shipboard Microgrids. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 68(4), 1693-1705. https://doi.org/10.1109/TCSI.2021.3052774

Yildirim, B., Razmi, P., Fathollahidehkordi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Neuromorphic deep learning frequency regulation in stand-alone microgrids. Applied Soft Computing, 144, Artikel 110418. https://doi.org/10.1016/j.asoc.2023.110418

Yildirim, B., Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2023). Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery. Journal of Energy Storage, 71, Artikel 108190. https://doi.org/10.1016/j.est.2023.108190

Yildirim, B., Gheisarnejad Chirani, M., Temel Özdemir, M. T. Ö. & Khooban, M. H. (2024). Multi-agent fuzzy Q-learning-based PEM fuel cell air-feed system control. International Journal of Hydrogen Energy, 75, 354-362. https://doi.org/10.1016/j.ijhydene.2024.02.129

Yeh, C. Y., Ghasempour, Y., Amarasinghe, Y., Mittleman, D. M. & Knightly, E. W. (2024). Security and Angle-Frequency Coupling in Terahertz WLANs. IEEE/ACM Transactions on Networking, 32(2), 1524-1539. https://doi.org/10.1109/TNET.2023.3321641

Yazdani, N. & Lucani Rötter, D. E. (2021). Revolving Codes: Overhead and Computational Complexity Analysis. IEEE Communications Letters, 25(2), 374-378. Artikel 9210058. https://doi.org/10.1109/LCOMM.2020.3027875

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

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

Yazdani, N. (2021). Massive-Scale IoT Dynamic Data Updating and Compression for a Scalable IoT Infrastructure. Århus Universitet.

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

Xu, H., Zhou, P., Xie, H. & Liao, Y. (2023). Mercury: Fast and Optimal Device Placement for Large Deep Learning Models. I 52nd International Conference on Parallel Processing, ICPP 2023 - Main Conference Proceedings (s. 412-422). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3605573.3605603

Xiong, B., Li, N., Liao, Y. & Zhou, P. (2024). Gamified Alzheimer's Disease Diagnosis via Virtual Reality. I 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (s. 1182-1183)

Xi, Y., Hamacher, T., Peric, V., Chen, Z. & Lund, H. (2021). Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System. I 2021 IEEE International Smart Cities Conference, ISC2 2021 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC253183.2021.9562967

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

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

Wong, W., Zavodovski, A., Zhou, P. & Kangasharju, J. (2019). Container deployment strategy for edge networking. I MECC 2019 - Proceedings of the 2019 4th Workshop on Middleware for Edge Clouds and Cloudlets, Part of Middleware 2019 (s. 1-6). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3366614.3368101

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

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

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. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

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, Artikel 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. npj Quantum Information, 9(1), Artikel 94. https://doi.org/10.1038/s41534-023-00761-1

Wan, S., Chen, C. & Iosifidis, A. (2022). Editorial to special issue on cross-media learning for visual question answering. Image and Vision Computing, 118, Artikel 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), Artikel 86. https://doi.org/10.3390/fi15030086

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

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