Otsing - TalTech teadusportaal

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artikkel kogumikus

Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecastHäring, Tobias; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, Tarmo; Biechl, Helmuth2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 425-428 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690

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Accurate prediction of international trade flows : leveraging knowledge graphs and their embeddingsRincon-Yanez, Diego; Ounoughi, Chahinez; Sellami, Bassem; Kalvet, Tarmo; Tiits, Marek; Senatore, Sabrina; Ben Yahia, SadokJournal of King Saud University - computer and information sciences2023 / art. 101789, 11 p https://doi.org/10.1016/j.jksuci.2023.101789 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Adaptive industrial robots using machine visionKuts, Vladimir; Otto, Tauno; Tähemaa, Toivo; Bukhari, Khuldoon; Pataraia, TengizASME 2018 International Mechanical Engineering Congress and Exposition, Pittsburgh, Pennsylvania, USA, November 9–15, 20182018 / Paper No. IMECE2018-86720, pp. V002T02A093, 8 p. : ill https://doi.org/10.1115/IMECE2018-86720

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An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodologyKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsMachines2024 / art. 495 https://doi.org/10.3390/machines12070495

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artikkel kogumikus

Advancing solar power forecasting with machine learningHokmabad, Hossein Nourollahi22nd International Symposium “Topical Problems in the Field of Electrical and Power Engineering”. Doctoral School of Energy and Geotechnology III : Pärnu, Estonia, August 23-26, 20232023 / p. 89-90 : ill https://www.ester.ee/record=b5570906*est

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American sign language character recognition using convolutional neural networksAbdullah, Atesam; Ali, Nisar; Ali, Raja Hashim; Abideen, Zain Ul; Ijaz, Ali Zeeshan; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) : Regina, SK, Canada, 24-27 September 20232023 / p. 165-169 https://doi.org/10.1109/CCECE58730.2023.10288799

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An effective inductive learning algorithm for extracting rulesKuusik, Rein, inform.; Lind, GreteProceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Vol. 22012 / p. 339-344 https://link.springer.com/chapter/10.1007/978-3-642-28308-6_46

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Analyzing and investigating encrypted traffic for social media application InstagramIqbal, Hameed; Ahmad, Rizwan; Ahmed, Waqas; Qazi, Shams; Alam, Muhammad Mahtab2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p. : ill https://doi.org/10.1109/BEC56180.2022.9935603

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Android malware concept drift using system calls : detection, characterization and challengesGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinExpert systems with applications2022 / art. 117200, 19 p. : ill https://doi.org/10.1016/j.eswa.2022.117200 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Seotud publikatsioonid 1

Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks

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Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methodsAsefi, Sajjad; Mitrovic, Mile; Cetenovic, Dragan; Levi, Victor; Gryazina, Elena; Terzija, VladimirSustainable energy, grids and networks2023 / art. 101116 https://doi.org/10.1016/j.segan.2023.101116 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Anti-money laundering powered by graph machine learning: 'Show me your friends and I will tell you who you are'Astrova, IrinaIntelligent decision technologies2023 / p. 243-261 https://doi.org/10.3233/IDT-220193 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Applicability of spiral drawing test for mental fatigue modellingSenkiv, Olesja; Nõmm, Sven; Toomela, AaroIFAC-PapersOnLine2019 / p. 190-195 : ill https://doi.org/10.1016/j.ifacol.2019.01.064 Conference proceedings at Scopus Article at Scopus Article at WOS

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Application of artificial intelligence and machine learning for BIM : reviewBassir, David; Lodge, Hugo; Chang, Haochen; Majak, Jüri; Chen, GonfaInternational journal for simulation and multidisciplinary design optimization2023 / art. 5 https://doi.org/10.1051/smdo/2023005 Journal metrics at Scopus Article at Scopus

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artikkel kogumikus

Application of deep conditional generative adversarial networks to fill the gaps of satellite altimetry-based absolute dynamic topographyJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuXXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)2023 https://doi.org/10.57757/IUGG23-1627

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Application of machine learning for assessment of HS code correctnessSpitšakova, Margarita; Haav, Hele-MaiBaltic journal of modern computing2020 / p. 698-718 https://doi.org/10.22364/bjmc.2020.8.4.13 Journal Metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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AI applications to enhance resilience in power systems and microgrids—A reviewZahraoui, Younes; Korõtko, Tarmo; Rosin, Argo; Mekhilef, Saad; Seyedmahmoudian, Mehdi; Stojcevski, Alex; Alhamrouni, IbrahimSustainability2024 / art. 4959 https://doi.org/10.3390/su16124959

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artikkel kogumikus

Applied machine learning methods in microgrid simulationsHäring, Tobias19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III” : Tartu, Estonia, January 14-17, 20202020 / p. 151-152 : ill https://www.ester.ee/record=b5291755*est

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Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic SeaMostafavi, Majid; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 26 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

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Applying reinforcement learning method for real-time energy managementBorhan Dayani, Aida; Fazlollahtabar, Hamed; Ahmadiahangar, Roya; Rosin, Argo2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)2019 / 5 p. : ill https://doi.org/10.1109/EEEIC.2019.8783766

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Artificial intelligence and educationJaakkola, Hannu; Henno, Jaak; Lahti, J-P.; Järvinen, Raimo; Mäkelainen, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 548-555 https://doi.org/10.23919/MIPRO48935.2020.9245329

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Artificial intelligence and the GDPR : Inevitable nemeses?Kesa, Aleksandr; Kerikmäe, TanelTalTech journal of European studies2020 / p. 68-90 https://doi.org/10.1515/bjes-2020-0022 https://content.sciendo.com/view/journals/bjes/bjes-overview.xml?tab_body=latestIssueToc-79907 https://www.ester.ee/record=b5290032*est Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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artikkel kogumikus

Artificial intelligence in monitoring and diagnostics of electrical energy conversion systemsVaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Pomarnacki, Raimondas; Belahcen, Anouar; Van Khang, Hyunh2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 20202020 / 4 p https://doi.org/10.1109/IWED48848.2020.9069566

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Artificial intelligence tools for university fundraising 5.0 : a comprehensive analysisCherniavska, O.; Belov, A.; Shmygol, N.; Järvis, Marina; Cherniavska, O.; Tsalko, T.2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES) : proceedings2023 / 6 p https://doi.org/10.1109/MEES61502.2023.10402529

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Artificial lateral line for aquatic habitat modelling: An example for Lefua echigoniaGarcia-Vega, Ana; Fuentes-Perez, Juan Francisco; Fukuda, Shinji; Kruusmaa, Maarja; Sanz-Ronda, Francisco Javier; Tuhtan, Jeffrey AndrewEcological Informatics2021 / art. 101388 https://doi.org/10.1016/j.ecoinf.2021.101388 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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artikkel kogumikus

Assessment of data acquisition system for forecasting temperature and solar irradiationZahraoui, Younes; Korõtko, Tarmo; Mekhilef, Saad; Alhamrouni, Ibrahim2023 International Conference on Engineering Technology and Technopreneurship (ICE2T)2024 / p. 408-413 https://doi.org/10.1109/ICE2T58637.2023.10540516

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