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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Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. ArXiv. https://doi.org/10.48550/arXiv.2211.13778

Badicu, A., Iordache, G., Suciu, G., Macedo, H. D., Sassanelli, C., Terzi, S. & Larsen, P. G. (2021). Deploying the Smart Energy Tool for Investment Simulation inside the HUBCAP Sandbox. I A. G. Bruzzone, J. S. Janosy, L. Nicoletti & G. Zacharewicz (red.), 9th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2021 (s. 18-26) https://doi.org/10.46354/i3m.2021.sesde.003

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

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. I INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Mukherjee, M., Kumar, V., Maity, D., Matam, R., Mavromoustakis, C. X., Zhang, Q. & Mastorakis, G. (2020). Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services. Afhandling præsenteret på 2020 IEEE Global Communications Conference, Taipei, Taiwan. https://globecom2020.ieee-globecom.org/program/symposia-thursday#S1569589216

Kumar, V., Mukherjee, M., Lloret, J., Zhang, Q. & Kumari, M. (2022). Delay-optimal and Incentive-aware Computation Offloading for Reconfigurable Intelligent Surface-assisted Mobile Edge Computing. IEEE Networking Letters, 4(3), 127-131. https://doi.org/10.1109/LNET.2022.3187720

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

Li, B., Schultz, C. P. L., Dimyadi, J. & Amor, R. (2021). Defeasible reasoning for automated building code compliance checking. I V. Semenov & R. J. Scherer (red.), ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction: Proceedings of the 13th European Conference on Product & Process Modelling (ECPPM 2021), 15-17 September 2021, Moscow, Russia (s. 229-236). CRC Press. https://doi.org/10.1201/9781003191476

Esterle, L. (2022). Deep learning in multiagent systems. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 435-460). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00022-1

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

Pham, H. X., Ugurlu, H. I., Fevre, J. L., Bardakci, D. & Kayacan, E. (2022). Deep learning for vision-based navigation in autonomous drone racing. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 371-406). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00020-8

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. I Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 1740-1748)

Millinge, O., Böttner, C. & Asif, MR. (2024). Deep Learning based Identification of Oil-Slick Emissions in the Arctic Using Satellite SAR Data. I NSG 2024 4th Conference on Airborne, Drone and Robotic Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420159

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Artikel 9380640. https://doi.org/10.1109/ACCESS.2021.3066300

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

Asif, M. R., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Deep Convolutional Auto-Encoder for Automated Processing of Airborne Time-Domain Electromagnetic Data. 1-5. Afhandling præsenteret på NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbien. https://doi.org/10.3997/2214-4609.202220038

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

Skovsen, S. K., Haraldsson, H., Davis, A., Karstoft, H. & Belongie, S. (2020). Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. I 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (s. 167-171). Artikel 9288396 IEEE. https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00053

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. I 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (s. 420-423). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC46164.2021.9630958

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. 129-142. Abstract fra Symposium i Anvendt Statistik 2022, København, Danmark.

Foldager, L., Kaiser, M., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. I Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (s. 181-181). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-937-4

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. I P. Linde (red.), Symposium i anvendt statistik (s. 129-142). SEGES Innovation. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

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

Nielsen, A. H. (2022). Data-Driven Weather Forecasting using Deep Learning. Århus Universitet.

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Artikel 075154. https://doi.org/10.1063/5.0160977

Eriksen, T. & Rehman, N. U. (2023). Data-driven nonstationary signal decomposition approaches: a comparative analysis. Scientific Reports, 13(1), Artikel 1798. https://doi.org/10.1038/s41598-023-28390-w

Shabani, M. (2023). Data-driven Inter-Stock Predictive Analytics. Aarhus University.

Böttjer, T., Ørnskov Rønsch, G., Gonçalves Gomes, C. Â., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. I A.-L. Andersen, R. Andersen, D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings of the Changeable, Agile, Reconﬁgurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (s. 431-439). Springer. https://www.springerprofessional.de/en/data-driven-identification-of-remaining-useful-life-for-plastic-/19816878

Böttjer, T., Ørnskov Rønsch, G., Gomes, C., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2022). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. I A.-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (s. 431-439). Springer. https://doi.org/10.1007/978-3-030-90700-6_49

Macedo, H. D., Højberg, J., Jensen, J. & Thomsen, U. (2022). Data-Driven Extraneous Water Quantification. Abstract fra 12th Urban Drainage Modeling Conference. https://udm2022.org/2021/11/09/data-driven-extraneous-water-quantification/

Moradi, F. & Ronchini, M. (2021). Dansk center vil revolutionere forbindelsen mellem hjerne og computer. Medicoteknik, 8(3), 6-8. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=6

Fitzgerald, J., Gamble, C., Larsen, P. G., Pierce, K. & Woodcock, J. (2015). Cyber-Physical Systems Design: Formal Foundations, Methods and Integrated Tool Chains. I Proceedings of the 2015 IEEE/ACM 3rd FME Workshop on Formal Methods in Software Engineering (FormaliSE) (s. 40-46). IEEE. https://doi.org/10.1109/FormaliSE.2015.14

Naseri, F., Kazemi, Z., Larsen, P. G., Arefi, M. M. & Schaltz, E. (2023). Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects. Batteries, 9(7), Artikel 382. https://doi.org/10.3390/batteries9070382

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

Nhut, T. D., Bonen, S., Cooke, G., Jager, T., Spasaro, M., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. I 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (s. 168-171). IEEE. https://doi.org/10.1109/IMS37962.2022.9865577

Spasaro, M., Bonen, S., Cooke, G., Jager, T., Nhut, T. D., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact Low-Power 60GHz Amplifier for Spin Qubit Control in Monolithic Silicon Quantum Processors. I 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (s. 164-167). IEEE. https://doi.org/10.1109/IMS37962.2022.9865561

Falay, B., Wilfling, S., Alfalouji, Q., Exenberger, J., Schranz, T., Legaard, C. M., Leusbrock, I. & Schweiger, G. (2021). Coupling physical and machine learning models: case study of a single-family house. I Proceedings of 14th Modelica Conference 2021 (s. 335-341) https://doi.org/10.3384/ecp21181335

Banaei, M., Boudjadar, J., Dragicevic, T. & Khooban, M. H. (2020). Cost Effective Operation of a Hybrid Zero-Emission Ferry Ship. I 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (s. 23-28). Artikel 9244456 IEEE. https://doi.org/10.1109/PEDG48541.2020.9244456

Banaei, M., Ghanami, F., Khooban, M. H. & Boudjadar, J. (2021). Cost-effective control of Roll-on/Roll-off Emission-Free Ships. I 2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021 (s. 315-320). IEEE. https://doi.org/10.1109/MMAR49549.2021.9528473

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

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

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

Esfahani, Z. (2023). Copper-Based Redox Flow Batteries for Frequency Containment Reservation (FCR) Provision.

Frasheri, M., Esterle, L. & Papadopoulos, A. V. (2021). Cooperative Multi-agent Systems for the Multi-target κ -Coverage Problem. I A. P. Rocha, L. Steels & J. van den Herik (red.), Agents and Artificial Intelligence: ICAART 2020 (s. 106-131). Springer. https://doi.org/10.1007/978-3-030-71158-0_5

Gil Arboleda, S., Zapata-Madrigal, G. D., García-Sierra, R. & Cruz Salazar, L. A. (2022). Converging IoT protocols for the data integration of automation systems in the electrical industry. Journal of Electrical Systems and Information Technology, 9(1), 1-21. Artikel 1. https://doi.org/10.1186/s43067-022-00043-4

Khooban, M. H. & Dragicevic, T. (red.) (2021). Control Strategy for Time-Delay Systems: Part I : Concepts and Theories. Academic Press. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-12-820599-0

Khooban, M. H. & Dragicevic, T. (red.) (2021). Control Strategy for Time-Delay Systems: Part II : Engineering Applications. Elsevier. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-323-85347-7

Badenhorst, W., Jensen, C. M., Jakobsen, U., Esfahani, Z. & Murtomäki, L. (2023). Control-Oriented Electrochemical Model and Parameter Estimation for an All-Copper Redox Flow Battery. Batteries, 9(5), Artikel 272. https://doi.org/10.3390/batteries9050272

Tamirat, T. W., Pedersen, S. M., Farquharson, R. J., de Bruin, S., Forristal, P. D., Sørensen, C. G., Nuyttens, D., Pedersen, H. H. & Thomsen, M. N. (2022). Controlled traffic farming and field traffic management: Perceptions of farmers groups from Northern and Western European countries. Soil and Tillage Research, 217, Artikel 105288. https://doi.org/10.1016/j.still.2021.105288

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Institut for Elektro- og Computerteknologi udgiver en serie af tekniske rapporter.

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Læs de tekniske rapporter ved at klikke nedenfor:

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Ph.d.-afhandlinger

Ph.d.-afhandinger ved Institut for Elektro- og Computerteknologi udgives gennem Statsbibliotekets/AU library's online E-books platform, hvor der er open access. Du kan finde publicerede afhandlinger ved at følge linket nedenfor.

Ph.d.-afhandlinger ved Institut for Elektro- og Computerteknologi

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