Otsing - TalTech teadusportaal

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51

artikkel kogumikus

Evolutionary design of the closed loop control on the basis of NN-ANARX model using genetic algorithmVassiljeva, Kristina; Petlenkov, Eduard; Nõmm, SvenNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part I2012 / p. 592-599 : ill https://link.springer.com/chapter/10.1007/978-3-642-34475-6_71

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Experimental evaluation and numerical modelling of the quality of photovoltaic modulesTšukrejev, Pavel; Karjust, Kristo; Majak, JüriProceedings of the Estonian Academy of Sciences2021 / p. 477-483 : ill https://doi.org/10.3176/proc.2021.4.15 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Seotud publikatsioonid 1

Photovoltaic modules, design and manufacturing = Fotoelektrilised moodulid, disain ja tootmine

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Experimental measurements and numerical modelling of additively manufactured Fe-Si coresStella, Marco; Faba, Antonio; Fulginei, F. Riganti; Quercio, Michele; Scorretti, Riccardo; Bertolini, Vittorio; Sabino, Luis Gustavo; Tiismus, Hans; Kallaste, Ants; Cardelli, ErmannoJournal of magnetism and magnetic materials2024 / art. 171752 https://doi.org/10.1016/j.jmmm.2024.171752

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54

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Experiments in neural network inverse modelling based control for a class of nonlinear systemsPetlenkov, Eduard; Rüstern, EnnuBEC 2004 : proceedings of the 9th Biennial Baltic Electronics Conference : October 3-6, 2004, Tallinn, Estonia2004 / p. 145-148 : ill

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Explainable Artificial Intelligence (XAI) techniques for energy and power systems : review, challenges and opportunitiesMachlev, Ram; Heistrene, L.; Perl, M.; Levy, K. Y.; Belikov, Juri; Mannor, S.; Levron, YoashEnergy and AI2022 / art. 100169, 13 p. : ill https://doi.org/10.1016/j.egyai.2022.100169 Journal metrics at Scopus Article at Scopus Article at WOS

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Exploratory data analysis based short-term electrical load forecasting : a comprehensive analysisJaved, Umar; Ijaz, Khalid; Shabbir, Noman; Kütt, Lauri; Husev, OleksandrEnergies2021 / art. 5510 https://doi.org/10.3390/en14175510 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Exploring the limits of early predictive maintenance in wind turbines applying an anomaly detection techniqueJankauskas, Mindaugas; Serackis, Artūras; Šapurov, Martynas; Pomarnacki, Raimondas; Baskys, Algirdas; Hyunh, Van Khang; Vaimann, Toomas; Zakis, JanisSensors2023 / art. 5695 https://doi.org/10.3390/s23125695 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networksMirsalari, Seyed Ahmad; Nazari, Najmeh; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, MasoudIEEE design & test2022 / p. 45-53 https://doi.org/10.1109/MDAT.2021.3070245

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FARMUR: fair adversarial retraining to mitigate unfairness in robustnessMousavi, Seyed Ali; Mousavi, Hamid; Daneshtalab, MasoudAdvances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 133-145 https://doi.org/10.1007/978-3-031-42914-9_10 Conference proceedings at Scopus Article at Scopus

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Fault detection and predictive maintenance of electrical machines : perspective chapterRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, ToomasNew Trends in Electric Machines - Technology and Applications2022 https://doi.org/10.5772/intechopen.107167

artikkel kogumikus

Seotud publikatsioonid 1

IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

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FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networksManzoor, Habib Ullah; Khan, Ahsan Raza; Flynn, David; Alam, Muhammad Mahtab; Akram, Muhammad; Imran, Muhammad Ali; Zoha, AhmedSensors2023 / art. 3570 https://doi.org/10.3390/s23073570 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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62

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Fingerprint recognition for distorted image applications using three-rate hybrid Kohonen neural networkAstrov, Igor; Tatarly, Sergei; Tatarly, Svetlana; Rüstern, EnnuMathematical Methods and Computational Techniques in Research and Education : 7th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS'07) : Arcachon, France, October 13-15, 20072007 / p. 122-126 https://dl.acm.org/doi/abs/10.5555/1974885.1974887

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Fingerprint recognition for varied degrees of image distortion using three-rate hybrid Kohonen neural networkAstrov, Igor; Tatarly, Sergei; Tatarly, SvetlanaProceedings of 2008 International Conference on Audio, Language and Image Processing (ICALIP 2008 : Shanghai, China, July 7-9, 2008). 12008 / p. 363-369 https://ieeexplore.ieee.org/document/4590098

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Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniquesEllahi, Manzoor; Usman, Muhammad Rehan; Arif, Waqas; Usman, Hafiz Fuad; Khan, Waheed A.; Satrya, Gandeva Bayu; Daniel, Kamran; Shabbir, NomanElectronics2022 / art. 4193 https://doi.org/10.3390/electronics11244193 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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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Generative adversarial network and CNN-LSTM based short-term power load forecastingLiu, Y.; Liang, Z.; Li, X.; Bakeer, Abualkasim Ahmed Ali2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473

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Genetic algorithm based structure identification for feedback control of nonlinear MIMO systemsVassiljeva, Kristina; Belikov, Juri; Petlenkov, EduardLecture notes in computer science2011 / p. 215-226 : ill https://link.springer.com/chapter/10.1007/978-3-642-23857-4_23

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68

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Hardware Trojans for confidence reduction and misclassifications on neural networksGrailoo, Mahdieh; Leier, Mairo; Pagliarini, Samuel NascimentoProceedings Of The Twenty Third International Symposium On Quality Electronic Design (ISQED 2022)2022 / art. 180541, p. 230-235 https://doi.org/10.1109/ISQED54688.2022.9806246

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Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?Dobchev, Dimitar; Karelson, MatiExpert Opinion on Drug Discovery2016 / p. 627 - 639 https://doi.org/10.1080/17460441.2016.1186876 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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70

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Hierarhilis-temporaalse mälu printsiipTammemäe, KalleA & A2007 / 3, lk. 9-19 : ill https://artiklid.elnet.ee/record=b1020789*est

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raamat

Infotehnoloogia. Sõnastik. Osa 34, Intellektitehnika. NeurovõrgudHanson, Vello; Tavast, Arvi; Kalja, Ahto; Võhandu, Leo2001 https://www.ester.ee/record=b1536069*est

raamat

72

artikkel kogumikus

An integrated decision support system for the resilience assessment of eastern Baltic Sea coastsBarzehkar, Mojtaba; Parnell, Kevin Ellis; Soomere, TarmoCoastGIS 2021 : Sustainable Coastal Management in a Changing World : conference proceedings2021 / p. 12 https://www.novia.fi/assets/Projectsites/CoastGIS/CoastGIS-2021-Book-of-Abstracts.pdf

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73

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Intellekt on võime ennustadaKirt, ToomasHorisont2006 / 3, lk. 40-43 : ill https://cs.ioc.ee/excs/popular/kirt-horisont306.pdf

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Intelligent virtual environments with assessment of user experiencesKöse, Ahmet; Tepljakov, Aleksei; Petlenkov, EduardArtificial Intelligence and Soft Computing : 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021 : proceedings, Part I2021 / p. 463−474 : ill https://doi.org/10.1007/978-3-030-87986-0_41 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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75

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JÄNES : a NAS framework for ML-based EDA applicationsSelg, Hardi; Jenihhin, Maksim; Ellervee, PeeterIEEE International Symposium on Defect and Fault Tolerance in VLSI Systems2021 https://doi.org/10.1109/DFT52944.2021.9568321

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