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Application of artificial neural networks to model the interaction between T-cells and B-cells and their equivalent impedance of the linearized modelGiannoukos, Georgios; Min, MartJournal of computational methods in sciences and engineering2015 / p. 295-302 http://dx.doi.org/10.3233/JCM-150544

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Bidirectional recurrent neural network with attention mechanism for punctuation restorationTilk, Ottokar; Alumäe, Tanel17th Annual Conference of the International Speech Communication Association (INTERSPEECH 2016) : Understanding Speech Processing in Humans and Machines : San Francisco, California, USA, 8-12 September 20162016 / p. 3047-3051 : ill http://doi.org/10.21437/Interspeech.2016-1517

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Custom simplified machine learning algorithms for fault diagnosis in electrical machinesRaja, Hadi Ashraf; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Belahcen, AnouarDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905174

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Seotud publikatsioonid 1

IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

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Design of car frontal protection system using neural networks and genetic algorithmMajak, Jüri; Pohlak, Meelis; Eerme, Martin; Velsker, TarmoMechanika2012 / p. 453-460 : ill https://mechanika.ktu.lt/index.php/Mech/article/view/2325

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Enhanced decision mechanism for RAN subslicing in management closed control loopKulmar, Marika; Müürsepp, Ivo; Alam, Muhammad Mahtab2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)2023 / p. 175-181 : ill https://doi.org/10.1109/FMEC59375.2023.10306223

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Seotud publikatsioonid 1

Radio access network subslicing in closed control loop for improved slice performance management = Raadiojuurdepääsu võrguviilu alamviilutamine suletud juhtimisahelas

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Experimental measurements and numerical modelling of additively manufactured Fe-Si coresStella, Marco; Faba, Antonio; Fulginei, F. Riganti; Quercio, Michele; Scorretti, Riccardo; Bertolini, Vittorio; Sabino, Luis Gustavo; Tiismus, Hans; Kallaste, Ants; Cardelli, ErmannoJournal of magnetism and magnetic materials2024 / art. 171752 https://doi.org/10.1016/j.jmmm.2024.171752

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Explainable Artificial Intelligence (XAI) techniques for energy and power systems : review, challenges and opportunitiesMachlev, Ram; Heistrene, L.; Perl, M.; Levy, K. Y.; Belikov, Juri; Mannor, S.; Levron, YoashEnergy and AI2022 / art. 100169, 13 p. : ill https://doi.org/10.1016/j.egyai.2022.100169 Journal metrics at Scopus Article at Scopus Article at WOS

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Exploratory data analysis based short-term electrical load forecasting : a comprehensive analysisJaved, Umar; Ijaz, Khalid; Shabbir, Noman; Kütt, Lauri; Husev, OleksandrEnergies2021 / art. 5510 https://doi.org/10.3390/en14175510 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Exploring the limits of early predictive maintenance in wind turbines applying an anomaly detection techniqueJankauskas, Mindaugas; Serackis, Artūras; Šapurov, Martynas; Pomarnacki, Raimondas; Baskys, Algirdas; Hyunh, Van Khang; Vaimann, Toomas; Zakis, JanisSensors2023 / art. 5695 https://doi.org/10.3390/s23125695 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Finite element based meta-modeling of ship-ice interaction at shoulder and midship areas for ship performance simulationLi, Fang; Kõrgesaar, Mihkel; Kujala, Pentti; Goerlandt, FlorisMarine structures2020 / art. 102736 https://doi.org/10.1016/j.marstruc.2020.102736 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Forecasting of energy consumption and production using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Iqbal, Muhammad Naveed; Ghahfarokhi, Payam ShamsAdvances in electrical and electronic engineering2020 / p. 190−197 https://doi.org/10.15598/aeee.v18i3.3597 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Neural network control of green energy vehicles with blended braking systemsVodovozov, Valery; Petlenkov, Eduard; Aksjonov, Andrei; Raud, ZojaRenewable Energy & Power Quality Journal2021 / p. 344-349 https://doi.org/10.24084/repqj19.291 Journal metrics at Scopus Article at Scopus

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Neural network-based model reference control of braking electric vehiclesVodovozov, Valery; Aksjonov, Andrei; Petlenkov, Eduard; Raud, ZojaEnergies2021 / art. 2373 https://doi.org/10.3390/en14092373 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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PF-FEDG : an open-source data generator for frequency disturbance event detection with deep-learning reference classifiersSun, Zhenglong; Ram, Machlev; Jiang, Chao; Wang, Qianchao; Perl, Michael; Belikov, Juri; Levron, YoashEnergy reports2023 / p. 397-413 https://doi.org/10.1016/j.egyr.2022.11.182 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Potassium and sodium salt stress characterization in the yeasts Saccharomyces cerevisiae, Kluyveromyces marxianus, and Rhodotorula toruloidesIllarionov, Aleksandr; Lahtvee, Petri-Jaan; Kumar, Rahul, 1978-Applied and Environmental Microbiology2021 / art. e03100-20 https://doi.org/10.1128/AEM.03100-20 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Preventing distillation-based attacks on Neural Network IPGrailoo, Mahdieh; Abideen, Zain Ul; Leier, Mairo; Pagliarini, Samuel NascimentoarXiv.org2022 / 7 p. : ill https://doi.org/10.48550/arXiv.2204.00292

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Review on Braking Energy Management in Electric VehiclesVodovozov, Valery; Raud, Zoja; Petlenkov, EduardEnergies2021 / art. 4477 https://doi.org/10.3390/en14154477 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Shape classification using hydrodynamic detection via a sparse large-scale 2D-sensitive artificial lateral lineWolf, Ben J.; Pirih, Primoz; Kruusmaa, Maarja; Van Netten, Sietse M.IEEE Access2020 / p. 11393 - 11404 https://doi.org/10.1109/ACCESS.2020.2965316 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machineKudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, Ants2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / 7 p. : ill https://doi.org/10.1109/EDPE58625.2023.10274030

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Seotud publikatsioonid 1

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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Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machinesRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Khang, Huynh VanEnergies2022 / art. 9507 https://doi.org/10.3390/en15249507 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

Seotud publikatsioonid 1

IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

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Towards personalized elevator travel with smart elevator systemRobal, Tarmo; Reinsalu, Uljana; Leier, MairoBaltic journal of modern computing2020 / p. 675-697 https://doi.org/10.22364/bjmc.2020.8.4.12 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Using neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedanceGiannoukos, Georgios; Min, MartProceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014) : Rhodes, Greece, 22-28 September 20142015 / p. 850001-1 - 850001-4 http://dx.doi.org/10.1063/1.4913056

book article

neural network (keyword)

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