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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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APPRAISER : DNN fault resilience analysis employing approximation errorsTaheri, Mahdi; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Raik, Jaan; Daneshtalab, Masoud2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)2023 / p. 124−127 https://ddecs2023.taltech.ee/ https://doi.org//10.1109/DDECS57882.2023.10139468

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Artificial intelligence methods for data based modeling and analysis of complex processes : real life examples [Online resource]Vassiljeva, Kristina; Petlenkov, Eduard; Vansovitš, Vitali; Tepljakov, AlekseiProceedings of the 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP) : Lviv, Ukraine, August 23-27, 20162016 / p. 363-368 : ill https://doi.org/10.1109/DSMP.2016.7583579

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Assessment of malicious tweets impact on stock market pricesIshikawa, Tatsuki; Ben Sassi, Imen; Ben Yahia, SadokResearch Challenges in Information Science : 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021 : proceedings2021 / p. 330–346 https://doi.org/10.1007/978-3-030-75018-3_22 Conference Proceedings at Scopus Article at Scopus Article at WOS

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The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learningNosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Škiparev, Vjatšeslav; Belikov, Juri2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings2022 / p. 1-5 : ill https://doi.org/10.1109/ISGT-Europe54678.2022.9960311

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Seotud publikatsioonid 1

Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega

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Deep Learning methodology for charging management applications in battery cells based on Neural NetworksZequera, Rolando Antonio Gilbert; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Transactions on Intelligent Vehicles2024 https://doi.org/10.1109/TIV.2024.3417216

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Development and utilization of synthetic signals for fault diagnostics of electrical machinesRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsIEEE journal of emerging and selected topics in industrial electronics2024 / 9 p https://doi.org/10.1109/JESTIE.2024.3395650

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Dynamic predictive modeling approach of user behavior in virtual reality based applicationKöse, Ahmet; Tepljakov, Aleksei; Petlenkov, Eduard2019 27th Mediterranean Conference on Control and Automation (MED)2019 / p. 57-62 : ill https://doi.org/10.1109/MED.2019.8798521

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An efficient FPGA-based architecture for contractive autoencodersKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, Thomas2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings2020 / p. 230−230 https://doi.org/10.1109/FCCM48280.2020.00062.

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Seotud publikatsioonid 1

Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdele

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Estimating quality of transmission in a live production network using machine learningMüller, Jasper; Fehenberger, Tobias; Patri, Sai Kireet; Kaeval, Kaida; Griesser, Helmut; Tikas, Marko; Elbers, Jörg-Peter2021 Optical Fiber Communications Conference and Exhibition (OFC) : 6-10 June 2021 : San Francisco, CA, USA2021 / paper Tu1G.2, 3 p https://ieeexplore.ieee.org/abstract/document/9489940

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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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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

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Seotud publikatsioonid 1

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

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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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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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Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

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Seotud publikatsioonid 1

Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem

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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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Methods of condition monitoring and fault detection for electrical machinesKudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Khang, Huynh VanEnergies2021 / art. 7459, 20 p. : ill https://doi.org/10.3390/en14227459 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

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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Neural networks based system for the supervision of therapeutic exercisesNõmm, Sven; Kuusik, Alar; Ovsjanski, Sergei; Malmberg, Ines; Parve, Marko; Orunurm, LiiNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV2012 / p. 364-371 : ill https://link.springer.com/chapter/10.1007/978-3-642-34478-7_45

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NN-ANARX model based control of liquid level using visual feedbackVassiljeva, Kristina; Tepljakov, Aleksei; Petlenkov, Eduard2015 IEEE International Conference on Industrial Informatics (INDIN) : proceedings : Robinson College, Cambridge, United Kingdom, 22-24 July, 20152015 / p. 133-138 : ill http://dx.doi.org/10.1109/INDIN.2015.7281723

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NN-SANARX model based control of a multi tank liquid-level systemBelikov, Juri; Petlenkov, EduardInternational journal of computational intelligence systems2015 / p. 265-277 http://dx.doi.org/10.1080/18756891.2015.1001950

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A Novel driver performance model based on machine learningAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIFAC-PapersOnLine2018 / p. 267-272 : ill http://dx.doi.org/10.1016/j.ifacol.2018.07.044

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Prototyping of a machine learning based auxiliary neurostimulation systemGrigorjev, Nikolai; Le Moullec, Yannick; Kuusik, Alar2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 l. https://doi.org/10.1109/BEC56180.2022.9935607

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Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565

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Simulation of three-rate neural network control for stochastic model of a fighter aircraftAstrov, IgorCCECE 2003 - Canadian Conference on Electrical and Computer Engineering : Toward a Caring and Humane Technology : May 4th to 7th 2003, Montreal, Canada : proceedings. Vol. 32003 / p. 1711-1714 : ill

book article

neural networks (keyword)

types of item

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