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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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Active learning-based mobile malware detection utilizing auto-labeling and data drift detectionDeng, Zhe; Hubert, Arthur; Ben Yahia, Sadok; Bahsi, HayretdinProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 20242024 / p. 146 - 151 https://doi.org/10.1109/CSR61664.2024.10679343 Article at Scopus Article at WOS

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artikkel kogumikus

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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artikkel ajakirjas

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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Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretrainingDjeddi, Warith Eddine; Hermi, Khalil; Ben Yahia, Sadok; Diallo, GayoBMC Bioinformatics2023 / art. 488, 41 p.: ill https://doi.org/10.1186/s12859-023-05593-6 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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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artikkel ajakirjas

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 ajalehes

“AI ei mõtle, AI arvutab”. Konverentsil kohtusid tehisaru rakendajad ja entusiastidKald, Indrekituudised.ee2024 “AI ei mõtle, AI arvutab”. Konverentsil kohtusid tehisaru rakendajad ja entusiastid

artikkel ajalehes

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artikkel kogumikus

AI generated route data pre-processing for faster decision makingMaas, Rene; Ševtšenko, Eduard; Karaulova, Tatjana2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)2024 / p. 82-87 https://doi.org/10.1109/YEF-ECE62614.2024.10625086

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artikkel kogumikus

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, 14 p. : ill 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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Anomaly detection, classification and identification Tool (ADCIT)Asefi, Sajjad; Mitrovic, Mile; Cetenovic, Dragan; Levi, Victor; Gryazina, Elena; Terzija, VladimirSoftware impacts2023 / art. 100465, 3 p. : ill https://doi.org/10.1016/j.simpa.2023.100465 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 / 1 p 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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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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artikkel kogumikus

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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artikkel kogumikus

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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