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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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327

dissertation

Reliable object recognition and assessment in adverse weather and environmental conditions = Usaldusväärne objektide tuvastamine ja hindamine ebasoodsates ilmastiku- ja keskkonnatingimustesSoom, Jürgen2026 https://www.ester.ee/record=b6031885*est https://digikogu.taltech.ee/et/Item/e1f62cf4-8812-428d-8474-994611c46a90 https://doi.org/10.23658/taltech.10/2026

dissertation

Related publications 3

328

book article

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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329

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

330

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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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331

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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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332

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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333

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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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334

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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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335

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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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336

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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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337

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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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338

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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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339

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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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340

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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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341

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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

342

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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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343

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 Article at Scopus Article at WOS

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344

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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

345

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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

346

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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

347

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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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348

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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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349

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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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350

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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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