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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Tran, D. T., Gabbouj, M. & Iosifidis, A. (2020). Performance Indicator in Multilinear Compressive Learning. I 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (s. 1822-1828). artikel 9308418 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308418

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

Tran, D. T., Gabbouj, M. & Iosifidis, A. (2022). Remote Multilinear Compressive Learning with Adaptive Compression. IEEE Internet of Things Journal, 9(9), 6905-6913. adv. onlinepublikation. https://doi.org/10.1109/jiot.2021.3114743

Tran, D. T., Kanniainen, J. & Iosifidis, A. (2021). How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. Afhandling præsenteret på NeurIPS 2021 Workshop on Machine Learning meets Econometrics. https://doi.org/10.2139/ssrn.3920827

Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M. & Iosifidis, A. (2022). Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access, 10, 45542-45552. https://doi.org/10.1109/ACCESS.2022.3169776

Tran, D. T., Gabbouj, M. & Iosifidis, A. (2022). Progressive and compressive learning. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 187-220). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00014-2

Tøttrup, D., Skovgaard, S. L., Sejersen, J. L. F. & de Figueiredo, R. P. (2022). A Real-Time Method for Time-to-Collision Estimation from Aerial Images. Journal of Imaging, 8(3), artikel 62. https://doi.org/10.3390/jimaging8030062

Tola, D., Gonçalves Gomes, C. Â., Schultz, C. P. L., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. I A. Soylu, A. T. Nezhad, N. Nikolov, I. Toma, A. Fensel & J. Vennekens (red.), Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021 CEUR-WS.org. http://ceur-ws.org/Vol-2956/paper12.pdf

Tola, D. & Larsen, P. G. (2021). A Co-Simulation Based Approach for Developing Safety-Critical Systems. I Proceedings of the 18th International Overture Workshop https://arxiv.org/pdf/2101.07261.pdf#page=65

Tola, D., Madsen, E., Gomes, C., Esterle, L., Schlette, C., Hansen, C. & Larsen, P. G. (2022). Towards Easy Robot System Integration: Challenges and Future Directions. I 2022 IEEE/SICE International Symposium on System Integration (SII) (s. 77-82). IEEE. https://doi.org/10.1109/SII52469.2022.9708846

Tola, D., Böttjer, T., Larsen, P. G. & Esterle, L. (2022). Towards Modular Digital Twins of Robot Systems. I Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (s. 95-100). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00040

Thule, C., Gomes, C. & Lausdahl, K. G. (2020). Formally Verified FMI Enabled External Data Broker: Rabbitmq FMU. I Proceedings of the 2020 Summer Simulation Conference (s. 1-12). artikel 12 Association for Computing Machinery. https://doi.org/10.5555/3427510.3427533

Thrysøe, S. A. (2021). Educating biomedical 3D printing engineers. Transactions on Additive Manufacturing Meets Medicine , 3(1), artikel 512. https://doi.org/10.18416/AMMM.2021.2109512

Thoft Krogshave, J., Böttjer, T. & Ramanujan, D. (2020). Machine-Specific Energy Estimation Using the Unit Process Life Cycle Inventory (UPLCI) Model. I ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC) artikel V006T06A031 American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2020-22483

Teizer, J., Johansen, K. W. & Schultz, C. P. L. (2022). The Concept of Digital Twin for Construction Safety. I F. Jazizadeh, T. Shealy & M. J. Garvin (red.), Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics (s. 1156-1165). American Society of Civil Engineers. https://doi.org/10.1061/9780784483961.121

Tashakor, N., Arabsalmanabadi, B., Naseri, F. & Goetz, S. (2022). Low-Cost Parameter Estimation Approach for Modular Converters and Reconfigurable Battery Systems Using Dual Kalman Filter. IEEE Transactions on Power Electronics, 37(6), 6323-6334. https://doi.org/10.1109/TPEL.2021.3137879

Tashakor, N., Naseri, F., Fang, J., Schotten, H. & Goetz, S. (2022). Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters. I IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON49645.2022.9968369

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

Talasila, P. & Lucani Rötter, D. E. (2021). Performance of Generalized Deduplication Under Different Input Conditions. I European Wireless Conference: 26th European Wireless Conference IEEE. https://ieeexplore.ieee.org/document/9657095

Talasila, P., Gomes, C., Mikkelsen, P. H., Arboleda, S. G., Kamburjan, E. & Larsen, P. G. (2023). Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users.

Tajalli , S. Z. & Khooban, M. H. (2023). A Cloud-Edge-Based Framework for Electric Vehicle Emergency Energy Trading. Inventions, 8(1), artikel 27. https://doi.org/10.3390/inventions8010027

Taheri, M., Chen, Y., Zhang, C., Berardehi, Z. R., Roohi, M. & Khooban, M. H. (2023). A finite-time sliding mode control technique for synchronization chaotic fractional-order laser systems with application on encryption of color images. Optik, 285, artikel 170948. https://doi.org/10.1016/j.ijleo.2023.170948

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C., Otto, M. & Kidmose, P. (2021). Ear-EEG for sleep assessment: a comparison with actigraphy and PSG. Sleep and Breathing, 25(3), 1693-1705. https://doi.org/10.1007/s11325-020-02248-1

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

Tabar, Y. R., Mikkelsen, K. B., Shenton, N., Kappel, S. L., Nikbakht, R., Toft, H. O., Henriksen, C. H., Hemmsen, M. C., Rank, M. L., Otto, M. & Kidmose, P. (2023). At-home sleep monitoring using generic ear-EEG. Frontiers in Neuroscience, 17, artikel 987578. https://doi.org/10.3389/fnins.2023.987578

Swain, K. C., Zaman, Q. U., Schumann, A. W., Percival, D. C. & Bochtis, D. (2010). Computer vision system for wild blueberry fruit yield mapping. Biosystems Engineering, 106(4), 389-394. https://doi.org/10.1016/j.biosystemseng.2010.05.001

Strandberg, P. E., Frasheri, M. & Enoiu, E. P. (2021). Ethical AI-Powered Regression Test Selection. I 2021 IEEE International Conference on Artificial Intelligence Testing (AITest) (s. 83-84). IEEE. https://doi.org/10.1109/AITEST52744.2021.00025

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

Spasaro, M. & Zito, D. (2022). Sub-mW 30GHz Variable-Gain LNA in 22nm FDSOI CMOS for Low-Power Tapered mm-Wave 5G/6G Phased-Array Receivers. I 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (s. 723-726). IEEE. https://doi.org/10.1109/IMS37962.2022.9865340

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

Sørensen, R. A. (2021). Routing in Simulated Baggage Handling Systems using Centralized Deep Reinforcement Learning. Aarhus Universitet.

Sørensen, R. A., Rosenberg, J. & Karstoft, H. (2021). Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. I Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021 (s. 13-19). IEEE. https://doi.org/10.1109/ISCSIC54682.2021.00014

Soltanian, M., Malik, J., Raitoharju, J., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2021). Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. I 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534232

Sohrabzadi, E., Gheisarnejad Chirani, M., Esfahani, Z. & Khooban, M. H. (2022). A novel intelligent ultra-local model control-based type-II fuzzy for frequency regulation of multi-microgrids. Transactions of the Institute of Measurement and Control, 44(5), 1134-1148. https://doi.org/10.1177/01423312211043060

Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, artikel 108999. https://doi.org/10.1016/j.patcog.2022.108999

Sobolewska, E. K., Pelloux-Prayer, J., Becker, H., Li, G., Davies, C. S., Krückel, C. J., Avilés Félix, L., Olivier, A., Sousa, R. C., Prejbeanu, I. L., Kiriliouk, A. I., Van Thourhout, D., Rasing, T., Moradi, F. & Heck, M. J. R. (2020). Integration platform for optical switching of magnetic elements. I G. S. Subramania & S. Foteinopoulou (red.), Active Photonic Platforms XII artikel 114612B SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2567662

Smeele, S. Q., Anderson Hansen, K., Ortiz, S. T., Johansson, F., Kristensen, J. H., Larsson, J., Siebert, U. & Wahlberg, M. (2019). Memory for own behaviour in pinnipeds. Animal Cognition, 22(6), 947-958. https://doi.org/10.1007/s10071-019-01286-x

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

Skovsen, S. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021). Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors, 21( 1), artikel 175. https://doi.org/10.3390/s21010175

Skov, H., Riishede Christiansen, I. L., Rode, L., Pihl, K., Jørgensen, F. S., Zingenberg, H., Nørgaard, P., Gros Pedersen, N. M., Gjerris, A. C. R., Wagner, S. R., Tabor, A., Ekelund, C. K. & Sandager, P. (2022). Inter-arm blood pressure difference in early pregnancy and risk of preeclampsia. Abstract fra FMF 19th World Congress 2022, Kreta, Grækenland. https://fetalmedicine.org/abstracts/2022/var/pdf/abstracts/2022/04236.pdf

Shreya, S., Rezaeiyan, Y., Jenkins, A., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2022). Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices, 69(8), 4651-4658. adv. onlinepublikation. https://doi.org/10.1109/TED.2022.3179994

Shreya, S., Zamani, M., Rezaeiyan, Y., Ghanatian Najafabadi, H., Böhnert, T., Jenkins, A., Ferreira, R., Farkhani, H. & Moradi, F. (2022). Memory and Communication-in-Logic Using Vortex and Precessional Oscillations in a Magnetic Tunnel Junction. IEEE Magnetics Letters, 13, artikel 4505605. https://doi.org/10.1109/LMAG.2022.3224676

Shreya, S. & Kaushik, B. K. (2019). Differential Spin Hall Effect-Based Nonvolatile Static Random Access Memory for Energy-Efficient and Fast Data Restoration Application. IEEE Transactions on Magnetics, 55(9), artikel 3401211. https://doi.org/10.1109/TMAG.2019.2917655

Shi, L., Marcano, N. J. H. & Jacobsen, R. H. (2021). A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application. Microprocessors and Microsystems, 86, artikel 104340. https://doi.org/10.1016/j.micpro.2021.104340

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

Shi, L., Hernandez Marcano, N. J. & Jacobsen, R. H. (2022). Multi-UAV Path Coordination through Generalized Potential Games. I 2022 8th International Conference on Automation, Robotics and Applications, ICARA 2022 (s. 125-129). IEEE. https://doi.org/10.1109/ICARA55094.2022.9738578

Shi, L. (2022). Motion Planning for Autonomous Aerial Robots. Aarhus Universitet.

Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patentnummer WO2022029158A1). https://patents.google.com/patent/WO2022029158A1

Shi, L., Pantic, M., Andersson, O., Tognon, M., Siegwart, R. & Jacobsen, R. H. (2022). Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots. I IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 (s. 3384-3391). IEEE. https://doi.org/10.1109/IROS47612.2022.9981658

Shekar, S., Satpute, N. & Gupta, A. (2021). Review on diabetic retinopathy with deep learning methods. Journal of Medical Imaging, 8(6), artikel 060901. https://doi.org/10.1117/1.JMI.8.6.060901

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