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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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

Shreya, S., Verma, G., Piramanayagam, S. N. & Kaushik, B. K. (2020). Energy-Efficient All-Spin BNN Using Voltage-Controlled Spin-Orbit Torque Device for Digit Recognition. IEEE Transactions on Electron Devices, 68(1), 385. Artikel 20319684. https://doi.org/10.1109/TED.2020.3038140

Shreya, S., Jain, A. & Kaushik, B. K. (2020). Computing-in-Memory Architecture Using Energy-Efficient Multilevel Voltage-Controlled Spin-Orbit Torque Device. IEEE Transactions on Electron Devices, 67(5), 1972. Artikel 19552586. https://doi.org/10.1109/TED.2020.2978085

Shreya, S. & Kaushik, B. K. (2019). Modeling of Voltage-Controlled Spin–Orbit Torque MRAM for Multilevel Switching Application. IEEE Transactions on Electron Devices, 67(1), 90. Artikel 19312204. https://doi.org/0.1109/TED.2019.2951684

Shreya, S. & Kaushik, B. K. (2019). Compact Modeling of Differential Spin-Orbit Torque based MRAM. Abstract fra 4th IEEE International Conference on Emerging Electronics , Bangalore, Indien. https://doi.org/10.1109/ICEE44586.2018.8937873

Shreya, S. (2019). Low Restoration-Energy Differential Spin Hall Effect MRAM for High-Speed Nonvolatile SRAM Application. Abstract fra 20th International Symposium on Quality Electronic Design (, California, USA. https://doi.org/10.1109/ISQED.2019.8697426

Shreya, S., Guglani, S., Kaushik, B. K. & Roy, S. (2020). Statistical Analysis of Temperature Variability on the Write Efficiency of Spin-Orbit Torque MRAM using Polynomial Chaos Metamodels. 87-92. Abstract fra 21st International Symposium on Quality Electronic Design , California, USA. https://doi.org/10.1109/ISQED48828.2020.9137004

Shreya, S. & Kaushik, B. K. (2018). Performance analysis of DSHE based memories. Abstract fra SPIE NanoScience + Engineering, California, USA. https://doi.org/10.1117/12.2321249

Shreya, S., Jain, A. & Kaushik, B. K. (2020). Computing-in-memory using voltage-controlled spin-orbit torque based MRAM array. Microelectronics Journal, 109, Artikel 104943. https://doi.org/10.1016/j.mejo.2020.104943

Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Artikel 16722. https://doi.org/10.1038/s41598-023-43923-z

Shreya, S., Rezaeiyan, Y., Sadeghi, M., Kaushik, B. K. & Moradi, F. (2023). Low-Power Pattern Recognition System Using Spintronics Compute-in-memory Architecture. I 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (s. 730-734). IEEE. https://doi.org/10.1109/NMDC57951.2023.10344005

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. Århus 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

Shi, Y., Tian, Y., Tong, C., Zhu, C., Li, Q., Zhang, M., Zhao, W., Liao, Y. & Zhou, P. (2024). Detect Depression from Social Networks with Sentiment Knowledge Sharing. I F. Wu, X. He, X. Huang, J. Tang, S. Zhao, D. Li & J. Zhang (red.), Social Media Processing - 11th Chinese National Conference, SMP 2023, Proceedings (s. 133-146). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-7596-9_10

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

Shatilov, K., Alhilal, A., Braud, T., Lee, L. H., Zhou, P. & Hui, P. (2023). Players are not Ready 101: A Tutorial on Organising Mixed-mode Events in the Metaverse. I MetaSys 2023 - Proceedings of the 1st Workshop on Metaverse Systems and Applications, Part of MobiSys 2023 (s. 14-20). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3597063.3597360

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

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

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

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 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2015.101

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. (2023). Towards Ear-EEG Based Hearing Assessment Using Natural Sounds. Aarhus University.

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

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

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. (2023). Dual Deduplication in multi-client setting and its applications. Århus Universitet.

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

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

Samboju, S. K., Tanjavooru, V. T., Zinsmeister, D. & Peric, V. S. (2021). Modeling of combined heat and power generation unit for dynamic analysis of integrated thermal-electric grids∗. I Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems Artikel 11 Association for Computing Machinery. https://doi.org/10.1145/3470481.3472711

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. Artikel 9328872. https://doi.org/10.1109/TCSII.2021.3053160

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Saleem, S., Naqvi, S. S., Manzoor, T., Saeed, A., Rehman, N. U. & Mirza, J. (2019). A Strategy for Classification of textquotedblleftVaginal vs. Cesarean Sectiontextquotedblright Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings. Frontiers in Physiology, 10. https://doi.org/10.3389/fphys.2019.00246

Saleem, B., Badar, R., Manzoor, A., Judge, M. A., Boudjadar, J. & Islam, S. U. (2022). Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System. IEEE Access, 10, 36464-36476. https://doi.org/10.1109/ACCESS.2022.3164455

Sadiq, M. T., Yu, X., Yuan, Z., Aziz, M. Z., Rehman, N. U., Ding, W. & Xiao, G. (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1177-1189. https://doi.org/10.1109/tetci.2022.3147030

Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D. & Moradi, F. (2023). Hardware Implementation of a Resource-Efficient Router for Multi-Core Spiking Neural Networks. I IEEE ISCAS 2023 Symposium Proceedings IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182040

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