Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

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

Sortér efter: Dato | Forfatter | Titel

Shi, L. (2022). Motion Planning for Autonomous Aerial Robots. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Shi, L., Skov, E. H., Christensen, A. L. & Jacobsen, R. H. (2026). Residual Learning for Riemannian Motion Policies in Multi-Drone Obstacle Avoidance and Communication-Aware Navigation. Applied Sciences, 16(13), Artikel 6533. https://doi.org/10.3390/app16136533
Shen, K., Zhao, Z., Chen, Y., Zhang, Z. & Cheng, H. V. (2024). Accelerating Quadratic Transform and WMMSE. IEEE Journal on Selected Areas in Communications, 42(11), 3110-3124. https://doi.org/10.1109/JSAC.2024.3431523
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
Sharma, B., Bhutia, P. R., Raj, R. K., Chettri, B., Kaushik, B. K. & Shreya, S. (2025). VCMA Gradient-Driven Skyrmion on a Trapezoidal Nanotrack for Racetrack Memory Application. IEEE Open Journal of Nanotechnology, 6, 44-50. https://doi.org/10.1109/OJNANO.2025.3550173
Sharifzadeh, M., Laurendeau, E., Fathollahi, A., Gheisarnejad, M., Sadabadi, M. S. & Al-Haddad, K. (2025). Single-DC-Source Three-Phase Modified Packed U-Cell Inverter With Reduced Components and Active Capacitor Voltage Balancing. IEEE Open Journal of the Industrial Electronics Society, 6, 1448-1460. https://doi.org/10.1109/OJIES.2025.3600173
Sharifzadeh, M., Fathollahi, A., Oshnoei, S., Gheisarnejad, M., Laurendeau, E. & Al-Haddad, K. (2025). Hybrid MPC-SHE Technique for Capacitor Voltage Balancing in Single DC-Source Three-Phase Modified PUC Inverter. I 2025 IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 IEEE. https://doi.org/10.1109/ECCE58356.2025.11259955
Sharifirad, I. & Boudjadar, J. (2024). A Computationally-efficient Semi-supervised Learning Model for the Estimation of State Degradation of a Milling Tool. I 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (s. 187-192). IEEE. https://doi.org/10.1109/SAMI60510.2024.10432881
Sharifirad, I. (2025). Designing and Deployment of ML-Empowered Anomaly Detection for Time-critical System on Embedded Platform. [Ph.d.-afhandling, Aarhus Universitet].
Shang, D., Yuan, R., Lv, Y., Wu, H., Gedikli, E. D. & ur Rehman, N. (2026). Refined fusion graph spectrum model (RFGSM): A graph-informed multivariate signal processing method for high-speed train bogie bearing fault diagnosis. IEEE Transactions on Reliability. Advance online publication. https://doi.org/10.1109/TR.2026.3736731
Shahgholian, G. & Fathollahi, A. (2024). Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System. AppliedMath, 4(2), 452-467. https://doi.org/10.3390/appliedmath4020024
Shahgholian, G., Moradian, M. & Fathollahi, A. (2025). Droop control strategy in inverter-based microgrids: A brief review on analysis and application in islanded mode of operation. IET Renewable Power Generation, 19(1), Artikel e13186. https://doi.org/10.1049/rpg2.13186
Shahgholian, G. & Fathollahi, A. (2025). Advancing Load Frequency Control in Multi-Resource Energy Systems Through Superconducting Magnetic Energy Storage. AppliedMath, 5(1), Artikel 1. https://doi.org/10.3390/appliedmath5010001
Shafaghi, P., Dolatshahi, M. & Farkhani, H. (2023). Energy-efficient spintronic based neuromorphic computing system using current mode track and termination circuit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9), 2915-2923. https://doi.org/10.1109/TCAD.2023.3238879
Shafaghi, P., Rezaeiyan, Y., Shreya, S., Moradi, F. & Farkhani, H. (2024). Novel Circuit for In-Memory Computing within STT-RAM Memory Blocks. I J. Nurmi, J. Rodrigues, L. Pezzarossa, V. Aberg & B. Behmanesh (red.), 2024 IEEE Nordic Circuits and Systems Conference (NorCAS): Proceedings https://doi.org/10.1109/NorCAS64408.2024.10752464
Shadmani, A., Thomas, R. A., Liu, Z., Papon, C., Heck, M. J. R., Volet, N., Scholz, S., Wieck, A. D., Ludwig, A., Lodahl, P. & Midolo, L. (2022). Integration of GaAs waveguides on a silicon substrate for quantum photonic circuits. Optics Express, 30(21), 37595-37602. https://doi.org/10.1364/OE.467920
Shabani, M. & Iosifidis, A. (2020). Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. I 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 (s. 2156-2161). Artikel 9308440 IEEE. https://doi.org/10.1109/SSCI47803.2020.9308440
Shabani, M., Tran, D. T., Magris, M., Kanniainen, J. & Iosifidis, A. (2022). Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. I 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings (s. 1487-1491). IEEE. https://doi.org/10.23919/EUSIPCO55093.2022.9909957
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
Shabani, M., Magris, M., Tzagkarakis, G., Kanniainen, J. & Iosifidis, A. (2023). Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots. Neural Computing and Applications, 35(25), 18519–18531. https://doi.org/10.1007/s00521-023-08674-y
Shabani, F., Seyedyazdi, M., Vaziri, M., Zarghami, M. & Vadhva, S. (2015). State Estimation of a Distribution System Using WLS and EKF Techniques. I Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015 (s. 609-613). Artikel 7301033 IEEE. https://doi.org/10.1109/IRI.2015.101
Shabani, M. (2023). Data-driven Inter-Stock Predictive Analytics. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Serra, J. G., Haas, E., Abalos, D., Hvid, S. K., Dalgaard, T., Uldall-Jessen, L., Giannini-Kurina, F., Aderele, M. O., Thiesson, B., Olesen, J. E., Butterbach-Bahl, K. & Rahimi, J. (2027). From patterns to prediction: detecting crop sequence and interpreting crop selection with explainable AI at field level in Denmark. Agricultural Systems, 240, Artikel 104982. https://doi.org/10.1016/j.agsy.2026.104982
Sergeeva, A., Christensen, C. B. & Kidmose, P. (2022). Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 56-59). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871170
Sergeeva, A., Bech Christensen, C. & Kidmose, P. (2024). Effect of Stimulus Bandwidth on the Auditory Steady-State Response in Scalp- and Ear-EEG. Ear and Hearing, 45(3), 626-635. https://doi.org/10.1097/AUD.0000000000001451
Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Towards ASSR-based hearing assessment using natural sounds. Journal of Neural Engineering, 21(2), Artikel 026045. https://doi.org/10.1088/1741-2552/ad3b6b
Sergeeva, A. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. I 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings (s. 882-886). IEEE. https://doi.org/10.23919/eusipco63174.2024.10715430
Sergeeva, A. & Kidmose, P. (2026). Probing Spectral Masking With Auditory Steady-State Responses. Ear and Hearing, 47(5), 1246-1256. https://doi.org/10.1097/AUD.0000000000001815
Sergeeva, A. & Kidmose, P. (2025). A Pilot Study on Assessing Auditory Masking Using Auditory Steady- State Responses. https://doi.org/10.61782/fa.2025.0025
Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A. & Khooban, M. H. (2023). Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control. Journal of Energy Storage, 74(Part A), Artikel 109282. https://doi.org/10.1016/j.est.2023.109282
Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. I IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021 IEEE. https://doi.org/10.1109/MMSP53017.2021.9733624
Sejersen, J. L. F., Sarabakha, A., Plagborg Bak Sørensen, K. & Høigaard Jensen, J. (2025). Multi-Agent Path Planning in Complex Environments using Gaussian Belief Propagation with Global Path Finding. 4359-4365. Afhandling præsenteret på 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, Georgia, USA. https://doi.org/10.1109/ICRA55743.2025.11128006
Sejersen, J. L. F. & Kayacan, E. (2023). CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots. 9254-9261. Afhandling præsenteret på 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, Michigan, USA. https://doi.org/10.1109/IROS55552.2023.10341937
Sejersen, J. L. F. (2025). Robust Multi-Agent Path Planning in Dynamic Environments. [Ph.d.-afhandling, Aarhus Universitet].
Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. I ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500816
Sehat, H., Lucani Rötter, D. E. & Pagnin, E. (2022). Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication. I 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (s. 203-210). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978810
Sehat, H., Lindskov Kloborg, A., Mørup, C., Pagnin, E. & Lucani Rötter, D. E. (2022). Bonsai: A General Look at Dual Dedupliation. https://arxiv.org/pdf/2202.13925
Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Schyska, B. U., Ceglarz, A., Kies, A., Medjroubi, W., Ruf, H., Hoffmann, M., Dubus, L., Koivisto, M., St. Drenan, Y. M., Salm, S. P. & Schroedter-Homscheidt, M. (2026). Digital twins of the earth can take energy systems modeling to the next level. Cell Reports Physical Science, 7(4), Artikel 103231. https://doi.org/10.1016/j.xcrp.2026.103231
Schultz, C. P. L. & Kamari, A. (2021). Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model. Journal of Computing in Civil Engineering, 35(4), Artikel 04021006. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000969
Schultz, C. P. L., Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G. & Kamari, A. (2023). Towards a human-centred framework for representing and reasoning about social values in buildings. 1-10. Afhandling præsenteret på 30th EG-ICE: International Conference on Intelligent Computing in Engineering. https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/towards_a_human-centred_framework_for_representing_and_reasoning_about_social_values_in_buildings.pdf
Schultz, C. P. L. & Kamari, A. (2025). Exploring the renovation design space: A new iterative approach based on scenario distance metrics and resampling strategies. Building Simulation, 18(6), 1515-1542. https://doi.org/10.1007/s12273-025-1267-1
Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2022). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. I D. Saelens, J. Laverge, W. Boydens & L. Helsen (red.), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (s. 3268 - 3275). International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2021.30806
Schranz, T., Legaard, C. M., Tola, D. & Schweiger, G. (2021). Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU. I Proceedings of 14th Modelica Conference 2021 (s. 419-424) https://doi.org/10.3384/ecp21181419
Schaper, M.-M. A., Smith, R. C., Tamashiro, M. A., Van Mechelen, M., Lunding, M. S., Bilstrup, K.-E. K., Kaspersen, M. H., Jensen, K. L., Petersen, M. G. & Iversen, O. S. (2022). Computational Empowerment in Practice: Scaffolding teenagers’ learning about emerging technologies and their ethical and societal impact. International Journal of Child - Computer Interaction, 34, Artikel 100537. https://doi.org/10.1016/j.ijcci.2022.100537
Sartaj, H., Boudjadar, J., Frasheri, M., Ali, S. & Larsen, P. G. (2026). Identifying Uncertainty in Self-Adaptive Robotics With Large Language Models. IEEE Software, 43(1), 89-97. https://doi.org/10.1109/MS.2025.3620578
Sarabakha, A. (2025). Data-Driven Identification of Observed Relative Degrees for Nonlinear Systems. I 2025 European Control Conference, ECC 2025 (2025 udg., s. 813-818). IEEE. https://doi.org/10.23919/ECC65951.2025.11187272
Sami, I., Salman, M., Rahman, L. U. & Al-Ismail, F. S. (2026). Design and Control of Battery–Ultracapacitor Hybrid Energy Storage System-Based Power-Split Hybrid Vehicle using Nonlinear Damped PI Control Scheme. Arabian Journal for Science and Engineering. Advance online publication. https://doi.org/10.1007/s13369-026-11083-7
Sami, I., Koh, H. G., Salman, M., Ullah, S. & Al-Ismail, F. S. (2026). Robust super twisting terminal sliding mode control of grid connected pumped storage hydro power plants in pumping and turbine mode. Electric Power Systems Research, 259, Artikel 113153. https://doi.org/10.1016/j.epsr.2026.113153

Viser resultater 251 til 300 ud af 1550

Forrige

2

3

4

5

6

7

8

9

10

11

Næste

Revideret 30.12.2025
-
AU Engineering