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426

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Data exchange for shared situation awarenessPreden, Jürgo-Sören; Mõtus, Leo; Pahtma, Raido; Meriste, MerikCogSIMA 2012 : 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support : [proceedings]2012 / p. 198-201 : ill

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427

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Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteriaGilbert Zequera, Rolando Antonio; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / 6 p https://doi.org/10.1109/EDPE58625.2023.10274007

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428

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Data to decision : pushing situational information needs to the edge of the networkPreden, Jürgo-Sören; Kaugerand, Jaanus; Suurjaak, Erki; Astapov, Sergei; Pahtma, Raido; Mõtus, Leo2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision (CogSIMA 2015) : 9-12 March 2015, Orlando, Florida, USA2015 / p. 158-164 : ill http://dx.doi.org/10.1109/COGSIMA.2015.7108192

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429

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Data type dependent energy consumption estimationRuberg, Priit; Lass, Keijo; Ellervee, Peeter2nd IEEE NORCAS Conference : 1-2 November 2016, Copenhagen, Denmark2016 / [5] p. : ill https://doi.org/10.1109/NORCHIP.2016.7792916

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430

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Data-driven cross-layer fault management architecture for sensor networksVihman, Lauri; Kruusmaa, Maarja; Raik, Jaan16th European Dependable Computing Conference : EDCC 2020 : Virtual Conference, Munich, Germany, 7-10 September 2020 : proceedings2020 / art. 20094188, p. 33-40 https://doi.org/10.1109/EDCC51268.2020.00015

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Seotud publikatsioonid 1

Data-driven fault-resilient cross-layer sensor network architecture = Andmepõhine tõrkekindel kihtideülene sensorvõrgu arhitektuur

431

journal article

Data-driven risk preference analysis in day-ahead electricity marketZhao, Huan; Zhao, Junhua; Qiu, Jing; Liang, Gaoqi; Wen, Fushuan; Xue, Yusheng; Dong, Zhao YangIEEE transactions on smart grid2021 / p. 2508-2517 : ill https://doi.org/10.1109/TSG.2020.3036525

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432

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Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM frameworkHokmabad, Hossein Nourollahi; Husev, Oleksandr; Vinnikov, Dmitri; Belikov, Juri; Petlenkov, EduardIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings2023 / 5 p https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090

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433

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DBaaS comparison : Amazon vs. MicrosoftAstrova, Irina; Koschel, Arne; Eickemeyer, Chris; Kersten, Jan; Offel, NormanInternational Conference on Information Society (i-Society 2017)2017 / p. 15-21 http://doi.org/10.23919/i-Society.2017.8354663

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434

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DC droop control strategies and tuning principlesRoasto, Indrek; Blinov, Andrei; Vinnikov, Dmitri; Mackay, Laurens; Jalakas, Tanel2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, October 9-10, 2023 : conference proceedings2023 https://doi.org/10.1109/RTUCON60080.2023.10412947

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435

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DC fast charging of electric vehicles : a review on architecture and power conversion technologyArena, Gabriele; Emiliani, Pietro; Chub, Andrii; Vinnikov, Dmitri; de Carne, Giovanni2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 6 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227492

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436

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DC grid interface converter based on three-phase isolated matrix topology with phase-shift modulationEmiliani, Pietro; Blinov, Andrei; Chub, Andrii; de Carne, Giovanni; Vinnikov, Dmitri2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)2022 / 6 l. https://doi.org/10.1109/PEDG54999.2022.9923256

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437

journal article EST / journal article ENG

DC integration of residential photovoltaic systems : a surveyAbdelrahim Abdelghafour, Omar Mohamed; Chub, Andrii; Vinnikov, Dmitri; Blinov, AndreiIEEE Access2022 / p. 66974-66991 https://doi.org/10.1109/ACCESS.2022.3185788 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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438

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DC nano grid control in the residential energy router with the presence of constant power loadsNajafzadeh, Mahdiyyeh; Vinnikov, Dmitri; Husev, Oleksandr; Roasto, Indrek2022 IEEE 7th International Energy Conference (ENERGYCON)2022 / p. 1-6 https://doi.org/10.1109/ENERGYCON53164.2022.9830523

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Seotud publikatsioonid 1

Multifunctional energy router for residential applications = Multifunktsionaalne energiaruuter eramutele

439

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DC-link capacitor minimization in residential energy router through battery utilizationNajafzadeh, Mahdiyyeh; Vinnikov, Dmitri; Husev, Oleksandr; Jalakas, Tanel; Roasto, Indrek2021 IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : Florence, Italy, 14-16 July 20212021 / p. 1-6 : ill https://doi.org/10.1109/CPE-POWERENG50821.2021

book article

Seotud publikatsioonid 1

Multifunctional energy router for residential applications = Multifunktsionaalne energiaruuter eramutele

440

book article

Decarbonization dispatching strategy for electric vehicles based on life cycle analysisLi, Zhonghui; Xu, Chengwei; Deng, Qing; Wen, Fushuan; Palu, Ivo2020 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. : ill https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160631

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441

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A decentralized distribution market mechanism considering renewable generation units with zero marginal costsYang, Jiajia; Dong, Zhao Yang; Wen, Fushuan; Chen, Guo; Qiao, YichenIEEE Transactions on Smart Grid2020 / p. 1724 - 1736 https://doi.org/10.1109/TSG.2019.2942616 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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442

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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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443

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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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444

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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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445

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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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446

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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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447

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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, BjörnarXiv.org2023 / 8 p. : ill https://doi.org/10.48550/arXiv.2303.0822

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448

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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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449

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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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450

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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

book article

IEEE (publisher)

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