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Frequency domain complex-valued convolutional neural networkChakraborty, Mainak; Aryapoor, Masood; Daneshtalab, MasoudExpert Systems with Applications2026 / art. 128893 https://doi.org/10.1016/j.eswa.2025.128893

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102

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Fully-fusible convolutional neural networks for end-to-end fused architecture with FPGA implementationDadras, Iman; Seydi, Sakineh; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Salehi, Mostafa E.2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)2023 / 5 p. https://doi.org/10.1109/ICECS58634.2023.10382831

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103

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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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104

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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 / p. 1-6 https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473

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105

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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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106

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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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107

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Harnessing graph neural networks to predict international trade flowsSellami, Bassem; Ounoughi, Chahinez; Kalvet, Tarmo; Tiits, Marek; Rincon-Yanez, DiegoBig Data and Cognitive Computing2024 / art. 65 https://doi.org/10.3390/bdcc8060065 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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108

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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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109

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Heterogeneous Approximation of DNN HW Accelerators based on Channels VulnerabilityCherezova, Natalia; Pappalardo, Salvatore; Taheri, Mahdi; Ahmadilivani, Mohammad Hasan; Deveautour, Bastien; Bosio, Alberto; Raik, Jaan; Jenihhin, Maksim2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)2024 / 4 p. : ill https://doi.org//10.1109/VLSI-SoC62099.2024.10767798 Conference proceedings at Scopus Article at Scopus

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

110

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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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111

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Hybrid‐driven digital twin modelling framework for an EV propulsion drive systemIbrahim, Mahmoud; Rassõlkin, AntonIET Intelligent Transport Systems2025 / art. e70099 https://doi.org/10.1049/itr2.70099 Scopus

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112

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Implementation of transformer model for natural language to SQL query translationYalova, Kateryna; Babenko, Mykhailo; Yashyna, Kseniia; Boyarchuk, ArtemICyberPhyS 2025 : 2nd International Workshop on Intelligent and CyberPhysical Systems, Khmelnytskyi, Ukraine, July 04, 20252025 / p. 72-85 https://ceur-ws.org/Vol-4013/paper6.pdf Scopus

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113

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An improved and explainable electricity price forecasting model via SHAP-based error compensation approachHeistrene, Leena; Belikov, Juri; Baimel, Dmitry; Katzir, Liran; Machlev, Ram; Levy, Kfir; Mannor, Shie; Levron, YoashIEEE Transactions on Artificial Intelligence2025 / p. 159-168 https://doi.org/10.1109/TAI.2024.3455313 Journal metrics at Scopus Article at Scopus

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114

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An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction MotorsKhan, Muhammad Amir; Asad, Bilal; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, AntsMachines2026 / art. 68 https://doi.org/10.3390/machines14010068

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115

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Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)2023 / p. 595-601 https://doi.org/10.1109/ICMLA58977.2023.00088

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

116

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

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117

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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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118

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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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119

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Intelligent frequency control of AC microgrids with communication delay : an online tuning method subject to stabilizing parametersNosrati, Komeil; Škiparev, Vjatšeslav; Tepljakov, Aleksei; Petlenkov, Eduard; Belikov, JuriEnergy and AI2024 / art. 100421 https://doi.org/10.1016/j.egyai.2024.100421 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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120

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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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121

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Is Amazon Kinesis data analytics suitable as core for an event processing network model?Koschel, Arne; Astrova, Irina; Pakosch, Anna; Gerner, Christian; Schulze, Christin; Tyca, MatthiasProceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,2024 / p. 1036 - 1043 https://doi.org/10.5220/0012432800003636 Conference proceedings at Scopus Article at Scopus

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122

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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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123

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Knowledge extraction for fixture designPortjanski, Leonid; Nekrassov, Grigori18th International DAAAM Symposium : Intelligent Manufacturing & Automation : Zadar (Croatia), 24-27th October 20072007 / ? p https://go.gale.com/ps/i.do?id=GALE%7CA177174765&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=17269679&p=AONE&sw=w&userGroupName=anon%7E5b283afd&aty=open-web-entry

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Knowledge representation and their applying to fixture designNekrassov, Grigori; Portjanski, LeonidJournal of machine engineering2008 / 4, p. 99-110 : ill https://bibliotekanauki.pl/articles/1429178

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125

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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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