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Microfluidic droplet classification through tuned convolutional neural network on a resource constrained platformAfrin, Fariha; Le Moullec, Yannick; Pardy, Tamas2024 19th Biennial Baltic Electronics Conference (BEC)2024 / 4 p https://doi.org/10.1109/BEC61458.2024.10737958 Conference proceedings at Scopus Article at Scopus Article at WOS

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Microﬂuidic Droplet Detection, Classiﬁcation and Quality Assessment for Embedded Flow Cytometry Systems = Tilkade tuvastamine mikroﬂuidikas, nende klassiﬁtseerimine ja kvaliteedi hindamine sardsetes voolutsütomeetria süsteemides

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Modelling of magnetization processes of 3D-Printed Fe-Si components by means of an artificial neural network implemented in a FEM schemeStella, Marco; Faba, Antonio; Bertolini, Vittorio; Fulginei, F. Riganti; Sabino, Lorenzo; Tiismus, Hans; Kallaste, Ants; Cardelli, Ermanno2024 International Conference on Electrical Machines (ICEM)2024 / 7 p https://doi.org/10.1109/ICEM60801.2024.10700301 Article at Scopus Article at WOS

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Neural Network Image Classifiers Informed by Factor AnalyzersDostovalova, A.M.; Gorshenin, A.K.Doklady Mathematics2025 / p. S35–S41 : ill https://doi.org//10.1134/S106456242460204X

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Neural networks based system for the supervision of therapeutic exercisesNõmm, Sven; Kuusik, Alar; Ovsjanski, Sergei; Malmberg, Ines; Parve, Marko; Orunurm, LiiNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV2012 / p. 364-371 : ill https://link.springer.com/chapter/10.1007/978-3-642-34478-7_45

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A neuro-fuzzy approach for broken rotor bar fault prediction in induction motors via current spectrum analysisRaja, Hadi Ashraf; Vaimann, Toomas; Asad, Bilal; Kallaste, Ants; Sardar, Muhammad Usman2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED) : proceedings2025 / 7 p https://doi.org/10.1109/SDEMPED53223.2025.11154194 Article at Scopus Article at WOS

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NN-ANARX model based control of liquid level using visual feedbackVassiljeva, Kristina; Tepljakov, Aleksei; Petlenkov, Eduard2015 IEEE International Conference on Industrial Informatics (INDIN) : proceedings : Robinson College, Cambridge, United Kingdom, 22-24 July, 20152015 / p. 133-138 : ill http://dx.doi.org/10.1109/INDIN.2015.7281723

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NN-SANARX model based control of a multi tank liquid-level systemBelikov, Juri; Petlenkov, EduardInternational journal of computational intelligence systems2015 / p. 265-277 https://doi.org/10.1080/18756891.2015.1001950 Journal metrics at Scopus Article at Scopus Journal metrtics at WOS Article at WOS

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A Novel driver performance model based on machine learningAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIFAC-PapersOnLine2018 / p. 267-272 : ill http://dx.doi.org/10.1016/j.ifacol.2018.07.044

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The proposal of countermeasures for deepfake voices on social media considering waveform and text embeddingYanagi, Yuta; Orihara, Ryohei; Tahara, Yasuyuki; Sei, Yuichi; Alumäe, Tanel; Ohsuga, AkihikoAnnals of emerging technologies in computing2024 / p. 15-31 ill https://doi.org/10.33166/AETiC.2024.02.002 Journal metrics at Scopus Article at Scopus

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Prototyping of a machine learning based auxiliary neurostimulation systemGrigorjev, Nikolai; Le Moullec, Yannick; Kuusik, Alar2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 l. https://doi.org/10.1109/BEC56180.2022.9935607

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Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565

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Simulation of three-rate neural network control for stochastic model of a fighter aircraftAstrov, IgorCCECE 2003 - Canadian Conference on Electrical and Computer Engineering : Toward a Caring and Humane Technology : May 4th to 7th 2003, Montreal, Canada : proceedings. Vol. 32003 / p. 1711-1714 : ill

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Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of missile autopilotAstrov, Igor; Pedai, Andrus; Rüstern, EnnuWCICA 2004 : Fifth World Congress on Intelligent Control and Automation : June 15-19, 2004, Hangzhou, China : conference proceedings. Vol. 32004 / p. 2603-2607 : ill

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Simulation of two-rate adaptive neural network and fuzzy logic hybrid control for stochastic model of an experimental aircraftAstrov, Igor; Pedai, Andrus; Rüstern, EnnuCanadian Conference on Electrical and Computer Engineering 2004 = Conference canadienne en genie electrique et informatique : May 2-5, 2004, Fallsview Sheraton, Niagara Falls, Canada : proceedings. Vol. 12004 / p. 125-128 : ill

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Simultaneous road edge and road surface markings detection using convolutional neural networksPihlak, Rene; Riid, AndriDatabases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 / p. 109-121 https://doi.org/10.1007/978-3-030-57672-1_9 Conference proceeding at Scopus Article at Scopus

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Speech-based identiﬁcation of children’s gender and age with neural networksPiel, Leo Kristopher; Alumäe, TanelHuman Language Technologies - the Baltic Perspective : Proceedings of the Eighth International Conference, Baltic HLT 20182018 / p. 104-111 https://doi.org/10.3233/978-1-61499-912-6-104 Conference proceedings at Scopus Article at Scopus Article at WOS

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Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 Conference proceedings at Scopus Article at Scopus Article at WOS

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Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

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Trends and challenges in intelligent condition monitoring of electrical machines using machine learningKudelina, Karolina; Vaimann, Toomas; Asad, Bilal; Rassõlkin, Anton; Kallaste, Ants; Demidova, GalinaApplied sciences2021 / art. 2761, 19 p. : ill https://doi.org/10.3390/app11062761 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil

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Triple fixed-point MAC unit for deep learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, ThomasProceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference2021 / p. 1404-1407 https://doi.org/10.23919/DATE51398.2021.9474020

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Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele

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Wind energy forecasting using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Ahmadiahangar, Roya; Iqbal, Muhammad Naveed; Rosin, Argo2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)2019 / 5 p. : ill https://doi.org/10.1109/BdKCSE48644.2019.9010593

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Virtual inertia control of isolated microgrids using an NN-based VFOPID controllerŠkiparev, Vjatšeslav; Nosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Belikov, Juri; Guerrero, Joseph M.IEEE Transactions on sustainable energy2023 / p. 1558-1568 https://doi.org/10.1109/TSTE.2023.3237922 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega

neural networks (keyword)

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