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Oskuste nappus takistab Eesti ettevõtete arengutTomberg, HannoPostimees2025 / lk. 14 https://dea.digar.ee/article/postimees/2025/02/04/14.9

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277

book article EST / book article ENG

Pattern based software architecture for predictive maintenanceTorim, Ants; Liiv, Innar; Ounoughi, Chahinez; Ben Yahia, SadokNordic Artificial Intelligence Research and Development : 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 - June 1, 2022 : revised selected papers2022 / p. 26-38 https://doi.org/10.1007/978-3-031-17030-0_3 Conference proceedings at Scopus Article at Scopus

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278

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A PD-type iterative learning algorithm for semi-linear distributed parameter systems with sensors/actuatorsZhang, Jianxiang; Cui, Baotong; Jiang, Zhengxian; Chen, JuanIEEE Access2019 / p. 159037-159047 : ill https://doi.org/10.1109/ACCESS.2019.2950456 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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279

newspaper article

Peeter Ross: radioloogia areng on väga kiire ja liigub aina enam mitmemõõtmelise pildi esitamise suunasRoss, Peetermed24.ee2024 Peeter Ross: radioloogia areng on väga kiire ja liigub aina enam mitmemõõtmelise pildi esitamise suunas

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280

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Performance improvement of decision tree : a robust classifier using tabu search algorithmHafeez, Muhammad Asfand; Rashid, Muhammad; Tariq, Hassan; Abideen, Zain Ul; Alotaibi, Saud S.; Sinky, Mohammed H.Applied Sciences (Switzerland)2021 / art. 6728 https://doi.org/10.3390/app11156728 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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281

book article EST / book article ENG

Performance of a distributed apriori algorithm using the serverless functions of the Apollo frameworkShahin, Mahtab; Shah, Syed Attique; Sharma, Rahul; Ghasempouri, Tara; Poveda, Juan Aznar; Fahringer, Thomas; Draheim, DirkMachine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 20242024 / 12 p https://link.springer.com/book/9783031705946 https://doi.org/10.1007/978-3-031-70595-3_37 Conference proceedings at Scopus Article at Scopus Article at WOS

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Efficient and effective association rule mining on big data and cloud technology : a multifaceted analysis = Tõhus ja efektiivne assotsiatsioonireeglite kaevandamine suurandmetel ja pilvetehnoloogial : mitmekülgne analüüs

282

book article

Pitfalls of machine learning methods in smart grids : a legal perspectiveAntonov, Alexander; Häring, Tobias; Korõtko, Tarmo; Rosin, Argo; Kerikmäe, Tanel; Biechl, Helmuth2021 International Symposium on Computer Science and Intelligent Controls :(ISCSIC 2021), 12-14 November 2021, Rome, Italy : proceedings2021 / p. 248-256 https://doi.org/10.1109/ISCSIC54682.2021.00053

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283

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PMU placement for fault line location using neural additive models—A global XAI techniquePerl, Michael; Sun, Zhenglong; Machlev, Ram; Belikov, Juri; Levy, Kfir Yehuda; Levron, YoashInternational journal of electrical power and energy systems2024 / art. 109573, 10 p. : ill https://doi.org/10.1016/j.ijepes.2023.109573 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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284

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Practical real-time data-driven approach for district cooling plant operational optimizationSukhanov, Ivan; Köse, Ahmet; Tepljakov, Aleksei; Petlenkov, Eduard; Belikov, JuriIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2024) : proceedings2024 / 5 p https://doi.org/10.1109/ISGTEUROPE62998.2024.10863248

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285

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Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

286

book article

Predicting students final test results based on previous grades and demographicsPentel, Avar; Kaiva, Lisanne-LiisThe 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece2020 / p. 377-382 https://doi.org/10.1109/IISA50023.2020.9284401

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287

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Predictive analytics beyond time series : predicting series of events extracted from time series dataMishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; Purkayastha, AdriWind Energy2022 / p. 1596-1609 https://doi.org/10.1002/we.2760 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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288

dissertation

Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajalBignoumba, Nzamba2024 https://doi.org/10.23658/taltech.49/2024 https://www.ester.ee/record=b5700796*est https://digikogu.taltech.ee/et/Item/19abb999-27b2-46a1-8fe6-1f1c43a5fe0d

dissertation

Related publications 3

289

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Pre-evaluation of wave energy converter deployment in the Baltic Sea through site limitations using CMEMS hindcast, Sentinel-1, and wave Buoy dataVidjajev, Nikon; Rikka, Sander; Alari, VictorEnergies2025 / art. 3843 https://doi.org/10.3390/en18143843

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290

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PrefaceJallouli, Rim; Tobji, Mohamed Anis Bach; Mcheick, Hamid; Piho, GunnarDigital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings2021 / p. v–vi https://link.springer.com/content/pdf/bfm:978-3-030-92909-1/1 Collection metrics at Scopus Article at Scopus

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291

book article

Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934

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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

292

book article

Preliminary analysis of global parameters of induction machine for fault prediction in rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings2022 / p. 243-248 : ill https://doi.org/10.1109/PEMC51159.2022.9962922

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293

book article

Preliminary results in using attention for increasing attack identification efficiencyAhmad, Tanwir; Truscan, Dragos; Vain, Juri2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings2023 / p. 159 - 164 https://doi.org/10.1109/ICSTW58534.2023.00038

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294

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A primer on public safety communication in the context of terror attacks: the NATO SPS “COUNTER-TERROR” projectAlam, Muhammad Mahtab; Le Moullec, Yannick; Ahmad, Rizwan; Magarini, Maurizio; Reggiani, LucaAdvanced Technologies for Security Applications : Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium2020 / p. 19-34 https://doi.org/10.1007/978-94-024-2021-0_3 Article collection metrics at Scopus Article at Scopus

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295

journal article

ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsMousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, MasoudarXiv.org2024 / 12 p. : ill https://doi.org/10.48550/arXiv.2406.06313

journal article

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Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

296

journal article

A probabilistic synapse with strained MTJs for Spiking Neural NetworksPagliarini, Samuel Nascimento; Bhuin, Sudipta; Isgenc, Mehmet Meric; Biswas, Ayan Kumar; Pileggi, LarryIEEE Transactions on Neural Networks and Learning Systems2020 / p. 1113-1123 : ill https://doi.org/10.1109/TNNLS.2019.2917819

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297

newspaper article

Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppeNõmm, Svengeenius.ee2024 Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppe

newspaper article

298

book

Programmi RITA tegevuse 1 projekti „Masinõppe ja AI toega teenused“ lõpparuanneSolvak, Mihkel; Vilo, Jaak; Reisberg, Sulev; Tamm, Sirli; Oja, Marek; Ligi, Kadri; Unt, Taavi; Võrk, Andres; Leets, Peeter; Tammet, Tanel; Vaarandi, Risto; Nõmm, Sven; Lepik, Toomas; Lember, Veiko; Nõmmik, Steven; Noordt, Colin Pascal van; Kerikmäe, Tanel2022 Programmi RITA tegevuse 1 projekti „Masinõppe ja AI toega teenused“ lõpparuanne

book

299

dissertation

Radio spectrum and power optimization cognitive techniques for wireless body area networks = Raadiospektri ja võimsuse optimeerimise kognitiivsed tehnikad traadita kehavõrkudeleAhmed, Tauseef2017 https://digi.lib.ttu.ee/i/?7677 https://www.ester.ee/record=b4677631*est

dissertation

300

book article

Real-time gait anomaly detection using SVM time series classificationRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad Mahtab; Ahmadov, Ulvi2023 International Wireless Communications and Mobile Computing (IWCMC)2023 / p. 1389-1394 https://doi.org/10.1109/IWCMC58020.2023.10182666

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Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis

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