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Slope-based event-driven feature extraction for cardiac arrhythmia classificationDuforest, Julien; Larras, Benoit; John, Deepu; Märtens, Olev; Frappe, Antoine2021 IEEE Biomedical Circuits and Systems Conference2021 / 4 l https://doi.org/10.1109/BioCAS49922.2021.9644957

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152

journal article

Some iterative regularized methods for highly nonlinear least squares problemsKangro, Inga; Vaarmann, OtuMathematical modelling and analysis2009 / 2, p. 179-186 https://www.tandfonline.com/doi/abs/10.3846/1392-6292.2009.14.179-186

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153

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A sophisticated modeling approach for photovoltaic systems in load frequency controlBakeer, Abualkasim Ahmed Ali; Magdy, Gaber; Chub, Andrii; Bevrani, HassanInternational journal of electrical power and energy systems2022 / art. 107330, 12 p. : ill https://doi.org/10.1016/j.ijepes.2021.107330 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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154

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Special session: approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, MahdiProceedings 2023 IEEE 41st VLSI Test Symposium (VTS)2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 Conference proceeding at Scopus Article at Scopus Article at WOS

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155

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State-space control of nonlinear systems identified by ANARX and neural network based SANARX modelsVassiljeva, Kristina; Petlenkov, Eduard; Belikov, JuriThe 2010 International Joint Conference on Neural Networks (IJCNN) : 18-23 July 2010, Barcelona : proceedings2010 / p. 3816-3823 : ill https://ieeexplore.ieee.org/document/5596581

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156

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Structure identification of NN-ANARX model by genetic algorithm with combined cross-correlation-test based evaluation functionNõmm, Sven; Vassiljeva, Kristina; Belikov, Juri; Petlenkov, Eduard2011 9th IEEE International Conference on Control and Automation (ICCA) : Santiago, Chile, December 19-21, 2011 : [proceedings]2011 / p. 65-70 : ill https://ieeexplore.ieee.org/document/6137961

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157

journal article

Synthesis and bioassay of improved mosquito repellents predicted from chemical structureKatritzky, Alan R.; Wang, Zuoquan; Slavov, Svetoslav; Tsikolia, Maia; Dobchev, DimitarProceedings of the National Academy of Sciences of the United States of America2008 / 21, p. 7359-7364

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158

book article

TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge DevicesLoni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, MikaelProceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022)2022 / p. 1115-1118 https://doi.org/10.23919/DATE54114.2022.9774615

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159

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Technology design of composite partsKarjust, Kristo; Küttner, Rein; Pohlak, MeelisJournal of achievements in materials and manufacturing engineering2007 / 2, p. 23-26 : ill https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=7a2f5ebd0bd5e7c08ff1cebc18a438a5c89e2231

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160

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The production technology considerations of large composite partsKarjust, Kristo; Küttner, Rein; Pohlak, MeelisProceedings of the 6th International Conference of DAAAM Baltic "Industrial Engineering" : 24-26th April 2008, Tallinn, Estonia. [1]2008 / p. 251-256 : ill https://www.researchgate.net/publication/289439727_The_production_technology_considerations_of_large_composite_parts

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161

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The structure of FET-based negative differential resistance for microwave and neural network applicationsTaniloo, RainerBEC 2002 : proceedings of the 8th Biennial Baltic Electronics Conference : October 6-9, 2002, Tallinn, Estonia2002 / p. 73-76 : ill

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162

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3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detectionZoljodi, Ali; Loni, Mohammad; Abadijou, Sadegh; Alibeigi, Mina; Daneshtalab, MasoudArtificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I2022 / p. 404-415 https://doi.org/10.1007/978-3-031-15919-0_34 Conference Proceedings at scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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163

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Towards artificial intelligence based automatic adaptive response analyzer for high frequency analog BISTPetlenkov, Eduard; Jutman, Artur; Nõmm, Sven; Ubar, Raimund-JohannesCIMSA 2008 : IEEE International Conference on Computational Intelligence for Measurement Systems and Applications : Istanbul, Turky, July 14-16, 20082008 / p. 99-104 : ill https://ieeexplore.ieee.org/document/4595841

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164

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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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Seotud publikatsioonid 1

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

165

journal article

Using artificial neural networks to predict cell-penetrating compoundsKarelson, Mati; Dobchev, DimitarExpert opinion drug discovery2011 / p. 783-796 : ill

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166

newspaper article

Uus tehisintellekt teeb vahet haige ja terve inimese häälel [Võrguväljaanne]Harrik, Airikanovaator.err.ee2021 / fot Uus tehisintellekt teeb vahet haige ja terve inimese häälel

newspaper article

167

book article

Where do conceptual spaces come from? An example of the Estonian emotion conceptsKirt, Toomas; Vainik, EneThe Second Baltic Conference on Human Language Technologies : April 4-5, 2005, Tallinn, Estonia : proceedings2005 / p. 285-292 : ill https://artiklid.elnet.ee/record=b1018478*est

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168

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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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Seotud publikatsioonid 1

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

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