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Sea surface circulation in the Baltic Sea : decomposed components and pattern recognitionBarzandeh, Amirhossein; Maljutenko, Ilja; Rikka, Sander; Lagemaa, Priidik; Männik, Aarne; Uiboupin, Rivo; Raudsepp, UrmasScientific reports2024 / art. 18649 https://doi.org/10.1038/s41598-024-69463-8

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302

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Semi-parametric approach to random forests for high-dimensional bayesian optimisationKuzmanovski, Vladimir; Hollmén, JaakkoDiscovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings2022 / p. 418 - 428 https://doi.org/10.1007/978-3-031-18840-4_30 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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303

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Sentiment analysis for hotel reviews : a systematic literature reviewAmeur, Asma; Hamdi, Sana; Ben Yahia, SadokACM Computing Survey2023 / art. 51 https://doi.org/10.1145/3605152 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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304

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Short-term residental DC load forecasting using extreme gradient boost (XgBoost) algorithmShabbir, Noman; Husev, Oleksandr; Daniel, Kamran; Jawad, Muhammad; Rosin, Argo; Martins, Joao2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2024 / 6 p https://doi.org/10.1109/CPE-POWERENG60842.2024.10604392

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305

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Short-term wind energy forecasting using deep learning-based predictive analyticsShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Husev, OleksandrCMC-Computers, Materials & Continua2022 / p. 1017-1033 https://doi.org/10.32604/cmc.2022.024576 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem

306

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

307

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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

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

308

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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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309

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Small languages and big models : using ML to generate Norwegian language social media content for training purposesAasen, Ole Joachim Arnesen; Lugo, Ricardo Gregorio; Knox, Benjamin JamesAugmented Cognition : 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II2024 / p. 103-121 https://doi.org/10.1007/978-3-031-61572-6_8 Conference proceedings at Scopus Article at Scopus Article at WOS

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310

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Smart elevator with unsupervised learning for visitor profiling and personalised destination predictionLeier, Mairo; Riid, Andri; Alumäe, Tanel; Pihlak, Rene; Udal, Andres; Heinsar, Risto; Vainküla, Sven2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings2021 / p. 9-16 https://doi.org/10.1109/CogSIMA51574.2021.9475921

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311

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Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learningValla, Elli; Väli, Lilian; Nõmm, Sven; Toomela, AaroCognition, Technology & Work2025 / 32 p. : ill https://doi.org/10.21203/rs.3.rs-6601096/v1

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Leveraging artiﬁcial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks

312

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Social, legal, and technical considerations for machine learning and artificial intelligence systems in governmentDreyling III, Richard Michael; Jackson, Eric Blake; Tammet, Tanel; Labanava, Alena; Pappel, IngridProceedings of the 23rd International Conference on Enterprise Information Systems ; vol. 12021 / p. 701-708 https://doi.org/10.5220/0010452907010708

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Digital transformation : artiﬁcial intelligence enablement in public services = Digisiire ja tehisintellekti rakenduseeldused avalikes teenustes

313

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Special session: in-field ML-assisted intermittent fault localization and management in RISC-V SoCsSelg, Hardi; Shibin, Konstantin; Tsertov, Anton; Jenihhin, Maksim; Ellervee, Peeter; Raik, Jaan2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)2024 https://doi.org/10.1109/DFT63277.2024.10753541 Article at Scopus

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314

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Status Detector for Fuzzing-Based Vulnerability Mining of IEC 61850 ProtocolVisky, Gabor; Lavrenovs, Arturs; Maennel, Olaf ManuelProceeding of the 20th European Conference on Cyber Warfare and Security2021 / p. 454-461 https://doi.org/10.34190/EWS.21.007

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315

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Strengthening active learning with a reinforcement approach in engineering educationVodovozov, Valery; Raud, Zoja; Petlenkov, Eduard2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2024 / 5 p https://doi.org/10.1109/RTUCON62997.2024.10830891

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316

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Study of bearing currents in induction machine : diagnostic possibilities, fault detection, and predictionKudelina, Karolina; Raja, Hadi Ashraf; Naseer, Muhammad Usman; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsElectrical engineering2024 / 14 p. : ill https://doi.org/10.1007/s00202-024-02411-x 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

317

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A survey on AI and decision support systems in psychiatry – Uncovering a dilemmaBertl, Markus; Ross, Peeter; Draheim, DirkExpert Systems with Applications2022 / art. 117464, 14 p. : ill https://doi.org/10.1016/j.eswa.2022.117464 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

318

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A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemicRasheed, Jawad; Jamil, Akhtar; Draheim, DirkChaos, solitons & fractals2020 / art. 110337, 17 p https://doi.org/10.1016/j.chaos.2020.110337 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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319

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Swarm-intelligence algorithms for mining numerical association rules : an exhaustive multi-aspect analysis of performance assessment dataKaushik, Minakshi; Kõiva, Pilleriin; Sharma, Rahul; Fister, Iztok jr.; Draheim, DirkSSRN2023 / 37 p https://ssrn.com/abstract=4399331 https://doi.org/10.2139/ssrn.4399331

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Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpe

320

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Süvatehnoloogiate alternatiivsed arengutrajektoorid ja nende tähendus Eestile : lõpparuanneKoppel, Kaupo; Kuusik, Alar; Arrak, Kadri; Raik, Jaan; Niidu, Allan; Kõks, Kerttu-Liis; Lahtvee, Petri-Jaan2023 https://media.voog.com/0000/0037/5345/files

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321

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A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming modelsFallah, Mohammad K.; Fazlali, Mahmood; Daneshtalab, MasoudComputing2023 / p. 1121-1139 https://doi.org/10.1007/s00607-021-01004-x

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322

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Synergy of in-situ and hydrodynamic modelling to develop machine learning strategies for dynamic vertical Reference for Maritime and Offshore EngineeringDelpeche-Ellmann, Nicole Camille; Ellmann, ArtuXXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)2023 https://doi.org/10.57757/IUGG23-3653

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323

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Synthetic Data-Driven Detection of Broken Rotor Bars in Induction Machines Under Adjusted Noise LevelNuha, Nurjahan Amin; Siddik Injam, Md Tanbir; El Bouharrouti, Nada; Hemeida, Ahmed; Kudelina, Karolina; Naseer, Usman Muhammad; Belahcen, Anouar2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)2025 / 6 p https://doi.org/10.1109/WEMDCD61816.2025.11014141

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