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Feed-forward neural networks for smooth operation of the high-voltage power transmission networkKangilaski, TaivoProceedings of the Estonian Academy of Sciences. Engineering2002 / 4, 223-247 : ill

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book article

Fracture estimation based on deformation history with recurrent neural networksYatkin, Muhammed Adil; Kõrgesaar, Mihkel2023 International Conference on Machine Learning and Applications (ICMLA) : proceedings2023 / p. 1025-1030 https://doi.org/10.1109/ICMLA58977.2023.00152

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book article

GA based optimization of NN-SANARX model for adaptive control of nonlinear systemsVassiljeva, Kristina; Petlenkov, Eduard; Belikov, JuriWCCI 2012 : IEEE World Congress on Computational Intelligence : June, 10-15, 2012, Brisbane, Australia2012 / p. 1674-1681 : ill https://ieeexplore.ieee.org/document/6252598

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book article EST / book article ENG

A light-weight CNN model for efficient Parkinsons disease diagnosticsWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Nõmm, Sven; Ruzhansky, Michael36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 20232023 / p. 616-621 https://doi.org/10.1109/CBMS58004.2023.00289 Conference proceedings at Scopus Article at Scopus Article at WOS

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Machine learning assisted methodology for multiclass classification of malignant brain tumorsVidyarthi, Ankit; Agarwal, Ruchi; Gupta, Deepak; Sharma, Rahul; Draheim, Dirk; Tiwari, PrayagIEEE Access2022 / p. 50624-50640 https://doi.org/10.1109/ACCESS.2022.3172303 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Neural network approach to classify the functional state of CNS in case of neurotoxic diseasesRaja, Aimur; Tuulik, Viiu; Lossmann, Eerik; Meister, AntsMedical & biological engineering & computing : journal of the International Federation for Medical & Biological Engineering. Part 2, Proceedings of the 1st International Conference on Bioelectromagnetism1996 / p. 241-242 : ill https://www.ester.ee/record=b1292531*est

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book article

Neural network method as a method for the diagnozing of vigilance levels of central nervous system by occupational chemical stressTuulik, Viiu; Raja, Aimur; Meister, Ants; Lossmann, Eerik4th European Conference on Engineering and Medicine "Bridging East and West", Warsaw, Poland, May 25-28, 1997 : book of abstracts1997 / p. 375

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journal article

Neural network method to determine the vigilance levels of the central nervous system, related to occupational chronic chemical stressTuulik, Viiu; Raja, Aimur; Meister, Ants; Lossmann, EerikTechnology and health care1997 / 3, p. 243-251: ill

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journal article

Neural network-based analysis of quantitative EEG data in case of chronic occupational chemical stressTuulik, Viiu; Meister, Ants; Raja, Aimur; Lossmann, EerikElectroencephalography and clinical neurophysiology1996 / n. 4. Special issue, Abstracts of the 8th European Congress of Clinical Neurophysiology, Munich, Germany, Oct. 9-11, 1996. p. 327

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book article

Restricted connectivity neural network structure for organ recognition by analysis of endoscopic images during surgical operationPetlenkov, Eduard; Artemtšuk, Igor; Miyawaki, F.; Yoshimitsu, KitaroBEC 2008 : 2008 International Biennial Baltic Electronics Conference : proceedings of the 11th Biennial Baltic Electronics Conference : Tallinn University of Technology : October 6-8, 2008, Tallinn, Estonia2008 / p. 261-264 : ill

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Sensor-location-specific joint acquisition of peripheral artery bioimpedance and photoplethysmogram for wearable applicationsMetshein, Margus; Abdullayev, Anar; Gautier, Antoine; Larras, Benoit; Frappe, Antoine; Cardiff, Barry; Annus, Paul; Land, Raul; Märtens, OlevSensors2023 / art. 7111 https://doi.org/10.3390/s23167111 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Towards personalized elevator travel with smart elevator systemRobal, Tarmo; Reinsalu, Uljana; Leier, MairoBaltic journal of modern computing2020 / p. 675-697 https://doi.org/10.22364/bjmc.2020.8.4.12 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Trends and challenges in intelligent condition monitoring of electrical machines using machine learningKudelina, Karolina; Vaimann, Toomas; Asad, Bilal; Rassõlkin, Anton; Kallaste, Ants; Demidova, GalinaApplied sciences2021 / art. 2761, 19 p. : ill https://doi.org/10.3390/app11062761 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Seotud publikatsioonid 1

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

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Une faaside liigitus EEG-signaali alusel wavelet-teisenduse ja närvivõrgu kasutamisegaLossmann, EerikRaadiotehnika '97 : ettekannete materjalid1997 / lk. 55-64: ill

book article

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