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Reinforcement Learning-based Energy Management Strategy for Flexible Hybrid ac/dc MicrogridGutiérrez-Escalona, Javier; Roncero-Clemente, Carlos; Husev, Oleksandr; Matiushkin, Oleksandr; Barrero-González, Fermín; González-Romera, EvaIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2025 / 6 p https://doi.org/10.1109/IECON55916.2024.10905501 Conference proceedings at Scopus Article at Scopus

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302

journal article EST / journal article ENG

Relatedness and Product Complexity Meet Gravity Models of International TradeTiits, Marek; Kalvet, Tarmo; Ounoughi, Chahinez; Ben Yahia, SadokJournal of open innovation: technology, market, and complexity2024 / art. 100288 https://doi.org/10.1016/j.joitmc.2024.100288 Journal metrics at Scopus Article at Scopus

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303

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Residential DC load forecasting using long short-term memory network (LSTM)Shabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr; Jalakas, Tanel; Martins, Joao2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)2023 / p. 131-136 https://doi.org/10.1109/SEGE59172.2023.10274596

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304

dissertation

Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteemShabbir, Noman2022 https://doi.org/10.23658/taltech.37/2022 https://digikogu.taltech.ee/et/Item/2c178a6b-f918-4932-bd1b-48fefb7fc7aa https://www.ester.ee/record=b5503996*est

dissertation

Related publications 6

305

book article

Residential load forecasting for flexibility prediction using machine learning-based regression modelAhmadiahangar, Roya; Häring, Tobias; Rosin, Argo; Korõtko, Tarmo; Martins, Joao2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)2019 / 4 p. : ill https://doi.org/10.1109/EEEIC.2019.8783634

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306

book article

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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307

book article

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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308

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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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309

journal article

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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310

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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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311

journal article

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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312

book article EST / book article ENG

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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313

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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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314

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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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315

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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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316

book article

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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317

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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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Related publications 1

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

318

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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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Related publications 1

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

319

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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

320

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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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321

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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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322

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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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323

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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

journal article

Related publications 1

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

324

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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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Related publications 1

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

325

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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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types of item

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