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

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Ulsig, E., Madsen, M., J. Stanton, E., Reddy, D., Leger, A., Sørensen, S., Degli-Eredi, I., Stevens, M., Hamel, D., Shalm, L., Mirin, R. & Volet, N. (2024). Widely tunable integrated GaAs and AlGaAs platforms for efficient second-order frequency conversion. https://doi.org/10.1364/opticaopen.25540030.v1

Spasaro, M. & Zito, D. (2023). 0.52-mW 30-GHz LNA in 22-nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3752-3756. https://doi.org/10.1109/TCSII.2023.3288354

Rezaeiyan, Y., Kolivand, Y., Zamani, M., Shoaei, O., Akbari, M., Moradi, F. & Tang, K. T. (2023). A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System. IEEE Transactions on Biomedical Circuits and Systems, 17(5), 1097-1110. https://doi.org/10.1109/TBCAS.2023.3294560

Koolivand, Y., Rezayean, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T. & Moradi, F. (2023). A 69MHz-Bandwidth 40V/μs-Slew-rate 3nV/√Hz-Noises 4.5μV-Offset Chopper Operational Amplifier. I 2023 IEEE Custom Integrated Circuits Conference (CICC): Proceedings IEEE. https://doi.org/10.1109/CICC57935.2023.10121273

Hansen, S. T. (2023). Accurate Co-simulation of Cyber-Physical Systems. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2023). Accurate detection and identification of insects from camera trap images with deep learning. PLOS Sustainability and Transformation, 2(3), Artikel e0000051. https://doi.org/10.1371/journal.pstr.0000051

Far Brusatori, M., Klein, H. & Volet, N. (2023). Achieving High Stability of Dual-Wavelength U-Shaped Laser in the C-Band Using Optical Feedback. IEEE Photonics Technology Letters, 35(10), 573-576. https://doi.org/10.1109/lpt.2023.3264160

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

Doan Nhut, T. & Zito, D. (2023). A Compact DC-110GHz SPST Switch in 22nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3812-3816. https://doi.org/10.1109/TCSII.2023.3291081

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2023). Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-level Packed E-Cell (PEC9) Inverter. IEEE Transactions on Industrial Electronics, 70(1), 1071-1076. https://doi.org/10.1109/TIE.2022.3153803

Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159

Asif, M. R., Maurya, P. K., Foged, N. & Christiansen, A. V. (2023). A DATA DRIVEN APPROACH FOR ROBUST INVERSION OF INDUCED POLARIZATION EFFECTS IN TRANSIENT ELECTROMAGNETIC DATA. I APPLICATION OF GEOPHYSICS TO ENGINEERING AND ENVIRONMENTAL PROBLEMS: SYMPOSIUM. 35TH 2023. (SAGEEP 2023) (s. 82-82). Curran Associates.

Khare, S. K. & Acharya, U. R. (2023). Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. Knowledge-Based Systems, 278, Artikel 110858. https://doi.org/10.1016/j.knosys.2023.110858

Frasheri, M., Ejersbo, H., Thule, C., Gomes, C., Kvistgaard, J. L., Larsen, P. G. & Esterle, L. (2023). Addressing time discrepancy between digital and physical twins. Robotics and Autonomous Systems, 161, Artikel 104347. https://doi.org/10.1016/j.robot.2022.104347

Jensen, M., Toft Jacobsen, J., Sharifirad, I. & Boudjadar, J. (2023). Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs. I J. Chen & L. T. Yang (red.), 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys): Proceedings (s. 558-565). IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00082

Paredis, R., Gomes, C. & Vangheluwe, H. (2023). A Family of Digital T Workflows and Architectures: Exploring Two Cases. I A. Smirnov, H. Panetto & K. Madani (red.), Innovative Intelligent Industrial Production and Logistics: First International Conference, IN4PL 2020, Virtual Event, November 2-4, 2020, and Second International Conference, IN4PL 2021, Virtual Event, October 25-27, 2021, Revised Selected Papers (s. 93-109). Springer. https://doi.org/10.1007/978-3-031-37228-5_6

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

Kaiser, M., Kristensen, J. K. & Thomsen, P. T. (2023). Afklaring af tekniske data og dyrevelfærdsaspekter i forbindelse med aflivning af grise med CO2 i beredskabssituationer. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Lehmann, A., Trolle, D. & Nielsen, A. (2023). A global webservice to generate SWAT+ hourly and daily input climate files from ERA5 reanalysis data. Abstract fra 2023 Denmark SWAT Conference, Aarhus, Danmark.

Carlson Hanse, L., Tjørnild, M. J., Karunanithi, Z., Jedrzejczyk, J. H., Islamagič, L., Hummelshøj, N. E., Enevoldsen, M., Johansen, P., Lauridsen, M. H. & Hjortdal, V. E. (2023). A handsewn pericardial valved pulmonary conduit: pulsatile flow loop in vitro and acute porcine in vivo evaluation. European Journal of Cardio-Thoracic Surgery, 63(4), Artikel ezad143. https://doi.org/10.1093/ejcts/ezad143

Gaikwad, N., Liu, L., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2023). A High Duty Cycle Transmitter Unit for Steady-State Surface NMR Instruments. (s. 1-22). Geoscientific Instrumentation, Methods and Data Systems https://doi.org/10.5194/gi-2023-5

Boudjadar, J. & Schultz, C. P. L. (2023). A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring. 680-687. Afhandling præsenteret på 19th International Conference on Software Technologies, Rome, Italien.

Anandakumar, M., Pradeepkumar, J., Kappel, S. L., Edussooriya, C. U. S. & De Silva, A. C. (2023). A Knowledge Distillation Framework for Enhancing Ear-EEG Based Sleep Staging with Scalp-EEG Data. I 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (s. 514-519). IEEE. https://doi.org/10.1109/SMC53992.2023.10394011

Rezaeiyan, Y., Lykkeberg Madsen, N., Bohnert, T., Zamani, M., Shreya, S., Paz, E., Farkhani, H., Ferreira, R. & Moradi, F. (2023). A low-noise high-linear wide dynamic-range MTJ-based magnetic field sensor. I 2023 IEEE Nordic Circuits and Systems Conference (NorCAS) IEEE. https://doi.org/10.1109/NorCAS58970.2023.10305454

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

Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Schou, C. & Larsen, P. G. (2023). A Modeling Approach for Composed Digital Twins in Cooperative Systems. I 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023 (s. 1-8). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275601

Lehner, D., Gil Arboleda, S., Mikkelsen, P. H., Larsen, P. G. & Wimmer, M. (2023). An Architectural Extension for Digital Twin Platforms to Leverage Behavioral ModelsBehaviors. I 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023 (s. 1-8). IEEE. https://doi.org/10.1109/CASE56687.2023.10260417

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, Artikel 122504. https://doi.org/10.1016/j.techfore.2023.122504

Khare, S. K. & Acharya, U. R. (2023). An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. Computers in Biology and Medicine, 155, Artikel 106676. https://doi.org/10.1016/j.compbiomed.2023.106676

Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S., Fathollahidehkordi, A. & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, Artikel 121233. https://doi.org/10.1016/j.apenergy.2023.121233

Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M. & Moradi, F. (2023). An Ultrasonically-Powered System for 1.06mm³ Implantable Optogenetics and Drug Delivery Dust. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3937-3941. https://doi.org/10.1109/TCSII.2023.3289028

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

Khare, S. K., March, S., Barua, P. D., Gadre, V. M. & Acharya, U. R. (2023). Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade. Information Fusion, 99, Artikel 101898. https://doi.org/10.1016/j.inffus.2023.101898

Hallerstede, S. & Kamburjan, E. (2023). Applications of Formal Methods and Digital Twins. CEUR Workshop Proceedings, 3507. https://ceur-ws.org/Vol-3507/xpreface.pdf

Böttjer, T., Tola, D., Kakavandi, F., Wewer, C. R., Ramanujan, D., Gomes, C., Larsen, P. G. & Iosifidis, A. (2023). A review of unit level digital twin applications in the manufacturing industry. CIRP Journal of Manufacturing Science and Technology, 45, 162-189. https://doi.org/10.1016/j.cirpj.2023.06.011

Griffiths, M. P., Grombacher, D., Kass, M. A., Vang, M., Liu, L. & Larsen, J. J. (2023). A surface NMR forward in a dot product. Geophysical Journal International, 234(3), 2284-2290. https://doi.org/10.1093/gji/ggad203

Jensen, R. I. T., Ferwerda, J., Jørgensen, K. S., Jensen, E. R., Borg, M., Krogh, M. P., Jensen, J. B. & Iosifidis, A. (2023). A synthetic data set to benchmark anti-money laundering methods. Scientific Data, 10(1), Artikel 661. https://doi.org/10.1038/s41597-023-02569-2

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

Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023). A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. I G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (s. 189-199). Springer. https://doi.org/10.1007/978-3-031-29548-5_13

Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. I M. Zorzi, M. Tao & W. Saad (red.), ICC 2023 - IEEE International Conference on Communications (s. 967-972). IEEE. https://doi.org/10.1109/ICC45041.2023.10279110

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognition, 141, Artikel 109604. https://doi.org/10.1016/j.patcog.2023.109604

Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z. & Christiansen, A. V. (2023). Automated data processing of a large-scale airborne time-domain electromagnetic survey by a deep learning expert system. Afhandling præsenteret på 8th International Workshop on Airborne Electromagnetics, Queensland, Australien.

Asif, M. R., Kass, A., Westerhoff, R., Rawlinson, Z., Christiansen, A. V. & Bording, T. S. (2023). Automated Processing of a Large-Scale Airborne Electromagnetic Survey by Deep Learning. Afhandling præsenteret på NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , Storbritannien. https://doi.org/10.3997/2214-4609.202320057

Borup, K., Kidmose, P., Phan, H. & Mikkelsen, K. (2023). Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. Biomedical Signal Processing and Control, 81, Artikel 104496. https://doi.org/10.1016/j.bspc.2022.104496

Kristensen, E. F., Grøn Sørensen, C., Vandorou, F., Balafoutis, T. & Vaiopoulos, K. (2023). Available financing tools in EU agriculture – 2nd update.

Magris, M. & Iosifidis, A. (2023). Bayesian learning for neural networks: an algorithmic survey. Artificial Intelligence Review, 56(10), 11773-11823. https://doi.org/10.1007/s10462-023-10443-1

Gislum, R., Larsen, R., Thomsen, I. K., Greve, M. B., Hansen, E. M. & Nyholm Jørgensen, R., (2023). Betingelse for indsamling af data til brug for omregningsfaktor mellem NDV/NDRE og planteoptag af kvælstof, Nr. 2023-0543874, 8 s., aug. 23, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Lund, J., Jensen, L. B., Battle, N., Larsen, P. G. & Macedo, H. D. (2023). Bidirectional UML Visualisation of VDM Models.

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. https://doi.org/10.1049/pel2.12486

Frasheri, M., Lumer-Klabbers, G., Kvistgaard, J. L., Hausted, J. O., Thule, C., Esterle, L. & Larsen, P. G. (2023). Building Safer Robots: From Simulation to Hardware Deployment. I 2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings (s. 63-68). IEEE. https://doi.org/10.1109/MMAR58394.2023.10242467

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