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176

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Extensive review of microwave filter tuning techniques with a novel tuning technique based on Dezert–Smarandache theory and machine learningSekhri, Even; Kapoor, Rajiv; Tamre, MartEngineering applications of artificial intelligence2026 / art. 113330 https://doi.org/10.1016/j.engappai.2025.113330

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177

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Extracting ontologies from relational databasesAstrova, IrinaProceedings of the 22nd IASTED International Conference on Databases and Applications (DBA)2004 / p. 56-61 https://spiral.imperial.ac.uk/bitstream/10044/1/52670/7/FAIA291-0043.pdf

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178

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Fall detection and activity recognition system for usage in smart work-wear [Online resource]Leier, Mairo; Jervan, Gert; Allik, Ardo; Pilt, Kristjan; Karai, Deniss; Fridolin, IvoBEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 20182018 / 4 p.: ill https://doi.org/10.1109/BEC.2018.8600959

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179

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FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networksManzoor, Habib Ullah; Khan, Ahsan Raza; Flynn, David; Alam, Muhammad Mahtab; Akram, Muhammad; Imran, Muhammad Ali; Zoha, AhmedSensors2023 / art. 3570 https://doi.org/10.3390/s23073570 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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180

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Finding Potential Phase Change Materials Among Ionic Liquids with The Aid of Machine Learning ModelKaljusmaa, Liisa-Maria; Järvik, OliverConference Book : International Conference in Chemistry and Chemical Technology2023 / p. 71 https://www.cct2023.chgf.vu.lt/images/2023/CCT_2023_Conference_book.pdf

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181

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Forecasting Corona Losses on High Voltage Transmission Lines Using Machine LearningGupta, Pradeep Kumar; Tuttelberg, Kaur; Kilter, JakoIEEE transactions on power delivery2025 / p. 2696-2705 https://doi.org/10.1109/TPWRD.2025.3593923 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Forecasting of Electrical Network Corona Losses Based on Machine Learning Methods = Masinõppe meetoditel põhinev elektrivõrgu koroonakadude prognoosimine

182

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Forecasting demand-side flexibility of a household with dynamic consumer behavior analysisShahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, TarmoIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2024) : proceedings2024 / 5 p https://doi.org/10.1109/ISGTEUROPE62998.2024.10863005 Article at Scopus Article at WOS

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183

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Forecasting household demand-side flexibility using XGBoost for smart energy managementQadar, Rana Muhammad Arslan; Shabbir, Noman; Kütt, Lauri; Daniel, Kamran; Peterson, Kristjan; Rosin, Argo2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2025 / 7 p https://doi.org/10.1109/RTUCON67996.2025.11415089 Article at Scopus

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184

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Forecasting of absolute dynamic topography by utilizing machinelearning with synergy of satellite altimetry dataDelpeche-Ellmann, Nicole Camille; Rajabi Kiasari, Saeed; Ellmann, Artu13th Coastal Altimetry Workshop & Coastal Altimetry Training, 6-10 February 2023, Universidad de Cádiz, Spain : abstract2023 / p. 42 https://www.coastalaltimetry.org/NikalWebsitePortal/coastal-altimetry-workshop/esa/ExtraContent/ContentSubPage?page=8&subPage=3

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185

dissertation

Forecasting of Electrical Network Corona Losses Based on Machine Learning Methods = Masinõppe meetoditel põhinev elektrivõrgu koroonakadude prognoosimineGupta, Pradeep Kumar2026 https://digikogu.taltech.ee/et/Item/b5d01a55-816a-4e81-b0cc-638ed2ded967 https://doi.org/10.23658/taltech.24/2026 https://www.ester.ee/record=b6043348*est

dissertation

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186

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Forecasting of energy consumption and production using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Iqbal, Muhammad Naveed; Shams Ghahfarokhi, PayamAdvances 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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187

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Forecasting sea level maxima using machine learning models in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuInternational Liège Colloquium 2024 : Ocean Extremes2024 / 1 p https://gher-uliege.github.io/liege-colloquium-2024/abstracts/2024-01-26_12:01:45_IP_193.40.250.130.pdf

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188

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Forecasting sea level maxima using machine learning with explainability and extreme value analysisRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu; Soomere, TarmoInternational journal of applied earth observation and geoinformation2026 / art. 105064 https://doi.org/10.1016/j.jag.2025.105064

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Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseks

189

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Forecasting short term wind energy generation using machine learningShabbir, Noman; Ahmadiahangar, Roya; Kütt, Lauri; Iqbal, Muhammad Naveed; Rosin, Argo2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings2019 / 4 p https://doi.org/10.1109/RTUCON48111.2019.8982365

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190

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Fourier neural operators for emulating ocean models : Towards a knowledge-driven machine learningJahanmard, Vahidreza; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleEGU General Assembly 20252025 / art. EGU25-4354 https://doi.org/10.5194/egusphere-egu25-4354

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191

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Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSMZahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Mubin, Marizan; Tang, Jing Rui; Zaihidee, Ezrinda M.Mathematics2023 / art. 1457 https://doi.org/10.3390/math11061457 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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192

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From near real-time urban data to an explainable city-scale model to help reduce the Urban Heat Island (UHI) effectEslamirad, Nasim; De Luca, Francesco; Ben Yahia, Sadok; Lylykangas, Kimmo SakariJournal of Physics: Conference Series2023 / art. 092012, p. 1-6 : ill https://doi.org/10.1088/1742-6596/2600/9/092012 Conference proceedings at Scopus Article at Scopus

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Data-driven urban modelling : the case of explainable detection of urban heat island = Andmepõhine linnamodelleerimine : soojussaarte seletatav tuvastamine

193

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From sensors to Dempster-Shafer theory and back : the axiom of ambiguous sensor correctness and its applicationsDraheim, Dirk; Tammet, TanelDatabase and Expert Systems Applications : 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020 : Proceedings, Part I2020 / p. 3-19 https://doi.org/10.1007/978-3-030-59003-1_1 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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194

dissertation

Fully automated tuning of microwave coaxial cavity filters = Mikrolaine-koaksiaalfiltrite täisautomaatne häälestamineSekhri, Even2024 https://www.ester.ee/record=b5685094*est https://digikogu.taltech.ee/et/Item/38784e65-568e-4dd9-aef9-bb5eec5a2a9c https://doi.org/10.23658/taltech.20/2024

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195

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Future opportunities for systematic AI support in healthcareBertl, Markus; Piho, Gunnar; Draheim, Dirk; Ross, Peeter; Pechmann, Ludwig; Bucciarelli, Nicholas; Sharma, RahulBridging the Gap Between AI and Reality : First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Selected Papers2024 / p. 203 - 224 https://doi.org/10.1007/978-3-031-73741-1_13 Conference Proceedings at Scopus Article at Scopus

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196

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GC and other methods for full and partial context coverageRaun, Kristo; Torim, Ants; Ben Yahia, SadokProcedia computer science2021 / p. 746−755 https://doi.org/10.1016/j.procs.2021.08.077 Conference proceeding at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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197

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Generalized association rule mining – dimensional unsupervised learning = Üldistatud assotsiatsioonireeglite kaevandamine – dimensiooniline juhendamata õpeKaushik, Minakshi2024 https://www.ester.ee/record=b5652676*est https://digikogu.taltech.ee/et/Item/b3fc493d-b245-43e2-bd37-87d749cca028 https://doi.org/10.23658/taltech.6/2024

dissertation

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198

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Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learningBillah, Md Masum; Saberi, Alireza Nemat; Hemeida, Ahmed; Martin, Floran; Kudelina, Karolina; Asad, Bilal; Naseer, Muhammad Usman; Mukherjee, Victor; Belahcen, AnouarIEEE transactions on magnetics2024 / art. 8201104 https://doi.org/10.1109/TMAG.2023.3312267 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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199

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GK : Implementing full first order default logic for commonsense reasoning (system description)Tammet, Tanel; Draheim, Dirk; Järv, PriitAutomated Reasoning : 11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8–10, 2022 : proceedings2022 / p. 300-309 https://doi.org/10.1007/978-3-031-10769-6_18 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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200

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GUARD: An ABC-GA hybrid approach utilizing mAchine LeaRning and dimensionality reduction for hardware Trojan detectionHosseini, Mostafa; Azarpeyvand, Ali; Bagheri, Foad; Ghasempouri, Tara2025 IEEE East-West Design & Test Symposium (EWDTS)2025 / 8 p http://doi.org/10.1109/EWDTS67441.2025.11303691

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