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326

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Residential load forecasting using machine learning techniques : a comparative analysisShabbir, Noman20th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Tallinn, Estonia, September 8-10, 20212021 / p. 73-74 : ill https://www.ester.ee/record=b5457278*est

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327

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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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328

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Retrofitted gate rudder system in situ performance analysis using data-driven methodZhou, Yi; Turkmen, Serkan; Pazouki, Kayvan; Norman, RoseJournal of marine science and engineering2025 / art. 1667 https://doi.org/10.3390/jmse13091667 https://www.scopus.com/pages/publications/105016999379?origin=resultslist

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329

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A review on remote-sensing-based harmful cyanobacterial bloom monitoring servicesJanatian, Nasim; Raudsepp, Urmas; Broomandi, Parya; Fickas, Kate; Olli, Kalle; Heimovaara, Timo; Männik, Aarne; Uiboupin, Rivo; Pahlevan, NimaRemote sensing applications society and environment2025 / art. 101488 https://doi.org/10.1016/j.rsase.2025.101488

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330

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A review on the application of machine learning in gamma spectroscopy : challenges and opportunitiesZehtabvar, Mehrnaz; Taghandiki, Kazem; Madani, Nahid; Sardari, Dariush; Bashiri, BashirSpectroscopy journal2024 / p. 123-144 https://doi.org/10.3390/spectroscj2030008

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331

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A robust pathological voices recognition system based on DCNN and scattering transformSouli, Sameh; Amam, Rimah; Ben Yahia, SadokApplied acoustics2021 / art. 107854 : ill https://doi.org/10.1016/j.apacoust.2020.107854 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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332

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Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approachGazori, Pegah; Rahbari, Dadmehr; Nickray, MohsenFuture generation computer systems2020 / p. 1098-1115 https://doi.org/10.1016/j.future.2019.09.060

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333

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Scalable and imbalance-resistant machine learning models for anti-money laundering : a two-layered approachTertychnyi, Pavlo; Slobozhan, Ivan; Ollikainen, Madis; Dumas, MarlonEnterprise Applications, Markets and Services in the Finance Industry : 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers2020 / p. 43-58 https://doi.org/10.1007/978-3-030-64466-6_3 Conference Proceedings at Scopus Article at Scopus

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334

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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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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335

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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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336

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Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learningBazarov, A.; Benito Castano, Maria; Hütsi, Gert; Kipper, Rain; Pata, Joosep; Põder, SvenAstronomy and Computing2022 / art. 100667, 10 p. : ill https://doi.org/10.1016/j.ascom.2022.100667

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Probing the Milky Way’s dark matter halo in the Gaia and machine learning era = Linnutee galaktika tumeaine halo uurimine Gaia ja masinõppe ajastul

337

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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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338

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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 Article at Scopus Article at WOS

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339

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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

340

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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

341

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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

342

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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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343

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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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344

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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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345

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Smart water, smart models : algorithmic assessment of water quality under evolving chemical and industrial stressorsAmankwaa, Samuel; Prokofiev, Jaan; Belikov, Juri; Srivastava, Varsha; Ivask, Angela; Nefedova, Alexandra; Zhou, Bo; Liu, Mengxi; Polivtseva, SvetlanaChemRxiv2025 / 26 p https://doi.org/10.26434/chemrxiv-2025-m6k1m https://chemrxiv.org/engage/chemrxiv/article-details/692410cb65a54c2d4a68e8f8

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346

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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

347

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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

348

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Speaking the same traffic language : a Florida – Tallinn case study in cross-city incident predictionShahin, Mahtab; Saeidi, Soheila; Mahli, Avleen; Kaisar, Evangelos I.; Bauk, Sanja; Soe, Ralf-MartinFuture Data and Security Engineering (FDSE 2025) : proceedings, Part I2026 / p. 311-324 https://doi.org/10.1007/978-981-95-4721-0_21

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349

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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 Conference proceedings at Scopus Article at Scopus Article at WOS

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350

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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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