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176

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Optimal tuning of fractional order sliding mode controller for PMSM speed using neural network with reinforcement learningZahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Alhamrouni, Ibrahim; Seyedmahmoudian, Mehdi; Stojcevski, AlexEnergies2023 / art. 4353 https://doi.org/10.3390/en16114353 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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177

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Optimization of car frontal protection systemPohlak, Meelis; Majak, Jüri; Eerme, MartinInternational journal for simulation and multidisciplinary design optimization2007 / p. 31-37 https://www.researchgate.net/publication/245491476_Optimization_of_car_frontal_protection_system

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178

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Optimization of car frontal protection systemsPohlak, Meelis; Majak, Jüri; Eerme, MartinProceedings of the 6th International Conference of DAAAM Baltic "Industrial Engineering" : 24-26th April 2008, Tallinn, Estonia. [1]2008 / p. 123-128 : ill https://www.researchgate.net/publication/245491476_Optimization_of_car_frontal_protection_system

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179

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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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180

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Pick-and-place operation of linear Delta robots with low energy consumptionVodovozov, Valery; Lehtla, Madis; Raud, Zoja; Petlenkov, Eduard2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2024 / 6 p https://doi.org/10.1109/RTUCON62997.2024.10830764 Article at Scopus

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181

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PMU placement for fault line location using neural additive models—A global XAI techniquePerl, Michael; Sun, Zhenglong; Machlev, Ram; Belikov, Juri; Levy, Kfir Yehuda; Levron, YoashInternational journal of electrical power and energy systems2024 / art. 109573, 10 p. : ill https://doi.org/10.1016/j.ijepes.2023.109573 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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182

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Predicting cargo handling and berthing times in bulk terminals : a neural network approachGülmez, Secil; Gülmez, Yigit; Tapaninen, Ulla PiritaCase studies on transport policy2025 / art. 101351 https://doi.org/10.1016/j.cstp.2024.101351

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183

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Prediction of cell-penetrating peptides using artificial neural networksDobchev, Dimitar A.; Mäger, Imre; Tulp, Indrek; Karelson, Gunnar; Tamm, Tarmo; Tämm, Kaido; Jänes, Jaak; Langel, Ülo; Karelson, MatiCurrent computer-aided drug design2010 / 2, p. 79-89 https://www.ingentaconnect.com/contentone/ben/cad/2010/00000006/00000002/art00001?crawler=true

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184

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Preliminary results in using attention for increasing attack identification efficiencyAhmad, Tanwir; Truscan, Dragos; Vain, Jüri2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings2023 / p. 159 - 164 https://doi.org/10.1109/ICSTW58534.2023.00038

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185

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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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186

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ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsMousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, MasoudarXiv.org2024 / 12 p. : ill https://doi.org/10.48550/arXiv.2406.06313

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

187

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A probabilistic synapse with strained MTJs for Spiking Neural NetworksPagliarini, Samuel Nascimento; Bhuin, Sudipta; Isgenc, Mehmet Meric; Biswas, Ayan Kumar; Pileggi, LarryIEEE Transactions on Neural Networks and Learning Systems2020 / p. 1113-1123 : ill https://doi.org/10.1109/TNNLS.2019.2917819

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188

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Processing of blurred image by the two-rate hybrid Kohonen neural networkAstrov, Igor; Tatarlõ, Svetlana; Rüstern, EnnuProceedings of 2nd IASTED International Multi-Conference on Automation, Control, and Information Technology - Signal and Image Processing2005 / p. 30-35

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189

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Processing of distorted fingerprints with use of three-rate hybrid kohonen neural networksAstrov, Igor; Tatarly, S.; Tatarly, S.; Rüstern, EnnuProceedings of the 8th International Conference on Signal Processing : ICSP'06 : Guilin, China, November 16-20, 20062006 / p. 2383-2386 https://ieeexplore.ieee.org/document/4129338

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190

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Processing of distorted fingerprints with use of three-rate hybrid kohonen neural networks [Electronic resource]Astrov, Igor; Tatarly, S.; Tatarly, S.; Rüstern, EnnuProceedings of the 8th International Conference on Signal Processing : ICSP'06 : Guilin, China, November 16-20, 20062006 / [4] p. [CD-ROM] https://ieeexplore.ieee.org/document/4129338

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191

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Processing of two-dimensional data with use of two-rate Kohonen's neural networks [Electronic resource]Astrov, Igor; Tatarlõ, Svetlana; Rüstern, EnnuIEEE Canadian Conference on Electrical and Computer Engineering2005 / p. 949-952 [CD-ROM] https://ieeexplore.ieee.org/document/1557133

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192

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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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193

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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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194

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QSAR study of pharmacological permeabilitiesKarelson, Mati; Karelson, Gunnar; Tamm, Tarmo; Tulp, Indrek; Jänes, Jaak; Tämm, Kaido; Lomaka, Andre; Savtšenko, Deniss; Dobchev, DimitarArkivoc2009 / 2, p. 218-238 : ill https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=04010557f978e40f8e33b61f9570340690f7940e

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195

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QSPR modeling of flash points : an updateKatritzky, Alan R.; Stoyanova-Slavova, Iva B.; Dobchev, Dimitar; Karelson, MatiJournal of molecular graphics and modelling2007 / 2, p. 529-536 : ill https://www.sciencedirect.com/science/article/pii/S1093326307000617

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196

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QSPR modeling of UV absorption intensitiesKatritzky, Alan R.; Slavov, Svetoslav; Dobchev, Dimitar; Karelson, MatiJournal of computer-aided molecular design2007 / 7, p. 371-377 https://www.researchgate.net/publication/6272883_QSPR_modeling_of_UV_absorption_intensities

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197

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Qualitative detection of illegal drugs (cocaine, heroin and MDMA) in seized street samples based on SFS data and ANN : validation of methodMazina, Jekaterina; Aleksejev, Valeri; Ivkina, Tatjana; Kaljurand, Mihkel; Poryvkina, LarisaJournal of chemometrics2012 / p. 442-455 : ill https://www.academia.edu/25357220/Qualitative_detection_of_illegal_drugs_cocaine_heroin_and_MDMA_in_seized_street_samples_based_on_SFS_data_and_ANN_validation_of_method

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198

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Recognition of the surgeon's motions during endoscopic operation by statistics based algorithm and neural networks based ANARX modelsNõmm, Sven; Petlenkov, Eduard; Vain, Jüri; Belikov, Juri; Miyawaki, Fujio; Yoshimitsu, KitaroProceedings of the 17th World Congress The International Federation of Automatic Control : Seoul, Korea, July 6-11, 20082008 / p. 14773-14778 https://www.sciencedirect.com/science/article/pii/S1474667016413662

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199

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Reliability-Aware Hyperparameter Optimization for ANN-to-SNN ConversionSharifian, Saeed; Taheri, Mahdi; Rashtchi, Vahid; Azarpeyvand, Ali; Herglotz, Christian; Jenihhin, MaksimWorks in Progress in Embedded Computing Journal WiPiEC Journal2025 / p. 1-7 https://doi.org/10.64552/wipiec.v11i1.85 https://www.wipiec.digitalheritage.me/index.php/wipiecjournal/article/view/85

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200

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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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