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551

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Decision-making method for sound volume control in the 'Smart House' systemHovorushchenko, Tetiana; Aleksov, Serhii; Boyarchuk, Artem2024 IEEE 19th International Conference on Computer Science and Information Technologies (CSIT) : proceedings, 16-19 October 2024, Lviv, Ukraine2024 / 4 p. https://doi.org/10.1109/CSIT65290.2024.10982549 Conference proceedings at Scopus Article at Scopus Article at WOS

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552

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Decomposition model of contract for difference considering market power mitigationXu, Chengwei; Pang, Kaiyuan; Wen, Fushuan; Palu, Ivo; Gong, Jianrong; Xie, Yuzhe; Chen, Cheng2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Madrid, Spain, 9-12 June 2020 : proceedings2020 / 5 p https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160725

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553

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Decomposition of the EBI signal into components using two channel cross-compensating singular spectrum analysisKrivošei, Andrei; Min, Mart; Annus, Paul; Butsenko, Maksim2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA 2018) : proceedings : Rome, Italy, June 11-13, 20182018 / 5 p. : ill

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554

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Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s diseaseNõmm, Sven; Zarembo, Sergei; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2020 / p. 260-264 https://doi.org/10.1016/j.ifacol.2021.04.185 Conference proceedings at Scopus Article at Scopus Article at WOS

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555

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A deep learning approach for LoS/NLoS identification via PRACH in UAV-assisted public safety networksScazzoli, Davide; Magarini, Maurizio; Reggiani, Luca; Le Moullec, Yannick; Alam, Muhammad Mahtab2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, August 31 - September 3, 2020 in London, United Kingdom : proceedings2020 / 6 p https://doi.org/10.1109/PIMRC48278.2020.9217127

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556

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Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's DiseaseValla, Elli; Laur, Henry; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, Aaro2023 International Conference on Machine Learning and Applications (ICMLA)2023 / p. 1066-1071 : ill https://doi.org/10.1109/ICMLA58977.2023.00158

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Leveraging artiﬁcial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks

557

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Deep learning for detection of pavement distress using nonideal photographic imagesTepljakov, Aleksei; Riid, Andri; Pihlak, Rene; Vassiljeva, Kristina; Petlenkov, Eduard2019 42nd International Conference on Telecommunications and Signal Processing (TSP)2019 / p. 195-200 : ill https://doi.org/10.1109/TSP.2019.8769086

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558

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Deep Learning methodology for charging management applications in battery cells based on Neural NetworksZequera, Rolando Antonio Gilbert; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Transactions on Intelligent Vehicles2025 / p. 668-682 https://doi.org/10.1109/TIV.2024.3417216

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

559

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DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN acceleratorsTaheri, Mahdi; Riazati, Mohamad; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan; Sjödin, Mikael; Lisper, Björn2023 24th International Symposium on Quality Electronic Design (ISQED)2023 / 8 p. : ill https://doi.org/10.1109/ISQED57927.2023.10129353

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Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

560

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DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive GeneratorRiazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lisper, BjörnRiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2022 / p. 1-6 https://doi.org/10.1109/NorCAS57515.2022.9934617

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561

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DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881

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562

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Deep-learning based blood cells classification and initial edge device implementationIslam, Md. Raisul; Le Moullec, Yannick; Afrin, Fariha; Ahmed, Faisal2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p. : ill https://doi.org/10.1109/BEC56180.2022.9935610

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563

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DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs’ Reliability AssessmentAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimIEEE European Test Symposium (ETS) : Venice, Italy, 22-26 May 2023 : proceedings2023 / 6 p. : ill https://doi.org/10.1109/ETS56758.2023.10174133

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564

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Defect engineering in Sb2Se3 via post-growth thermal treatments : a photoluminescence studyAbbasi, Nafiseh; Kaupmees, Reelika; Krustok, Jüri; Timmo, Kristi; Mengü, Idil; Mikli, Valdek; Kauk-Kuusik, Marit; Grossberg-Kuusk, Maarja2025 IEEE 53rd Photovoltaic Specialists Conference (PVSC)2025 / p. 648-650 https://doi.org/10.1109/PVSC59419.2025.11132953

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565

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Defect-oriented modul-level fault diagnosis in digital circuitsKostin, Sergei; Ubar, Raimund-Johannes; Raik, JaanProceedings of the 2011 IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems : April 13-15, 2011, Gottbus, Germany2011 / p. 81-86

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566

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Demand side management for commercial buildings : multiple heating systems based optimization in real-timeKöse, Ahmet; Sukhanov, Ivan; Belikov, Juri; Tepljakov, Aleksei; Petlenkov, EduardProceedings of the 30th ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation: Digital Transformation on Engineering, Technology and Innovation, ICE 2024 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)2024 / 8 p https://doi.org/10.1109/ICE/ITMC61926.2024.10794302 Article at Scopus Article at WOS

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567

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Denoising and extraction of partial discharge pulse characteristics using wavelet denoising and local maxima methodChoudhary, Maninder; Palu, Ivo; Kiitam, Ivar; Shafiq, Muhammad; Taklaja, Paul; Bhattarai, Abhinav2024 IEEE International Conference on Power and Energy (PECon)2024 / p. 221-225 https://doi.org/10.1109/PECon62060.2024.10827085 Article at Scopus Article at WOS

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A Multi-Method Approach to Solid Insulation Aging Based on Partial Discharge Measurement = Osalahenduste mõõtmisel põhinev mitmemeetodiline lähenemine tahke isolatsiooni vananemisele

568

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DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural ArchitectureLoni, Mohammad; Zoljodi, Ali; Maier, Daniel; Majd, Amin; Daneshtalab, Masoud; Sjödin, Mikael; Juurlink, Ben H.H.; Akbari, Reza2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings2020 / 8 p https://doi.org/10.1109/CEC48606.2020.9185611

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569

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Depth control of an autonomous underwater vehicle in situational awareness a mission [Electronic resource]Astrov, Igor; Rüstern, EnnuICROS-SICE 2009 proceedings : ICROS-SICE International Joint Conference 2009 : Fukuoka, Japan, August 18-21, 20092009 / p. 560-564 [DVD-ROM]

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570

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Depth control of the biomimetic U-CAT turtle-like AUV with experiments in real operating conditionsChemori, Ahmed; Kuusmik, Keijo; Salumäe, Taavi; Kruusmaa, Maarja2016 IEEE International Conference on Robotics and Automation : Stockholm, Sweden, May 16th-21st2016 / p. 4750-4755 : ill https://doi.org/10.1109/ICRA.2016.7487677 Conference Proceedings at Scopus Article at Scopus Article at WOS

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571

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Derivation of Bioimpedance Model Data Utilizing a Compact Analyzer and Two Capacitive Electrodes : A Forearm ExampleOjarand, Jaan; Priidel, Eiko; Min, MartIEEE Transactions on Biomedical Circuits and Systems2022 / p. 891-901 https://doi.org/10.1109/TBCAS.2022.3206666 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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572

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Description of learning methods using six-dimensional space frameworkBrindfeldt, Eduard; Müür, Margus; Pettai, Elmo15th International Power Electronics and Motion Control Conference, EPE-PEMC 2012 ECCE Europe, Novi Sad, Serbia2012 / 8 p. : ill https://ieeexplore.ieee.org/document/6397358

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573

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Description of practical load harmonic current emission due to voltage harmonic variationDaniel, Kamran; Kütt, Lauri; Iqbal, Muhammad Naveed; Shabbir, Noman; Jarkovoi, Marek2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2021 / p. 1–6 https://doi.org//10.1109/RTUCON53541.2021.9711594

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Related publications 1

Load current harmonic sensitivity of AC/DC power converters of energy efficient devices = Energiatõhusate seadmete vahelduv-alalisvoolumuundurite koormusvoolu harmoonikute tundlikkus

574

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Design and comparison of three-level three-phase T-source invertersShults, Tatiana; Husev, Oleksandr; Blaabjerg, Frede2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG) : proceedings : May 11-13, 2015, Riga, Latvia2015 / p. 564-569 : ill http://dx.doi.org/10.1109/PowerEng.2015.7266378

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575

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Design and control for high reliability power electronics: state of the art and future trendsAlcaide, A. M.; Buticchi, Giampaolo; Chub, Andrii; Dalessandro, L.IEEE journal of emerging and selected topics in industrial electronics2024 / p. 50-61 https://doi.org/10.1109/JESTIE.2023.3287513 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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