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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; Daneshtalab, Masoud; Raik, Jaan2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)2023 / p. 124−127 : ill https://ddecs2023.taltech.ee/ https://doi.org//10.1109/DDECS57882.2023.10139468

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Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

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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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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer ModelsZequera, Rolando Antonio Gilbert; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Access2025 / p. 17733–17744 : ill https://doi.org//10.1109/ACCESS.2025.3532858 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

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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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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 Vehicles2025 / p. 668-682 https://doi.org/10.1109/TIV.2024.3417216 Journal metrics at Scopus Article at Scopus

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

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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 / p. 1447 - 1454 https://doi.org/10.1109/JESTIE.2024.3395650 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Dostovalova, A. M.; Gorshenin, A. K.Neural network image classifiers informed by factor analyzers : [review]Henno, JaakzbMATH Open2025 / 1 p https://zbmath.org/1562.68146

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A Double approximate neural hardware acceleratorNazari, Samira; Azarpeyvand, Ali; Ghasempouri, Tara2025 29th International Computer Conference Computer Society of Iran Csicc 20252025 / 5 p. https://ieeexplore.ieee.org/abstract/document/10967417 https://doi.org/10.1109/CSICC65765.2025.10967417 Article at Scopus

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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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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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Evaluating the robustness of ML models to out-of-distribution data through similarity analysisLindén, Joakim; Forsberg, Håkan; Daneshtalab, Masoud; Söderquist, IngemarNew Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings2023 / p. 348 - 359 https://doi.org/10.1007/978-3-031-42941-5_30

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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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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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Kolmogorov-Arnold networks for algorithm design in battery energy storage system applicationsZequera, Rolando Antonio Gilbert; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsEnergy Reports2025 / p. 2664-2677 https://doi.org/10.1016/j.egyr.2025.02.002 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

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Lightweight CNN-based Microfluidic Droplet Classification for Portable Imaging Flow CytometryAfrin, Fariha; Le Moullec, Yannick; Pardy, Tamas; Rang, ToomasProceedings of the Estonian Academy of Sciences2025 / p. 302-311 https://doi.org/10.3176/proc.2025.2S.05 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Microﬂuidic Droplet Detection, Classiﬁcation and Quality Assessment for Embedded Flow Cytometry Systems = Tilkade tuvastamine mikroﬂuidikas, nende klassiﬁtseerimine ja kvaliteedi hindamine sardsetes voolutsütomeetria süsteemides

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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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