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176

artikkel kogumikus

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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177

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Review of methods for estimation of 2D homographyShvarts, Dmitry; Tamre, Mart9th International Symposium "Topical problems in the field of electrical and power engineering". Doctoral school of energy and geotechnology. II : Pärnu, Estonia, June 14-19, 20102010 / p. 204-208 : ill

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178

artikkel kogumikus EST / artikkel kogumikus ENG

RoCo-NAS : robust and compact neural architecture searchGeraeinejad, Vahid; Sinaei, Sima; Modarressi, Mehdi; Daneshtalab, Masoud2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 8 l https://doi.org/10.1109/IJCNN52387.2021.9534460 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG

179

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SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN AcceleratorsTaheri, Mahdi; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim; Pappalardo, Salvatore; Jimenez, Paul; Deveautour, Bastien; Bosio, Alberto2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland2024 / p. 19–24 : ill https://doi.org//10.1109/DDECS60919.2024.10508925

artikkel kogumikus

Seotud publikatsioonid 1

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

180

artikkel ajakirjas EST / artikkel ajakirjas ENG

Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic modelRajabi-Kiasari, Saeed; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleApplied ocean research2025 / art. 104496 https://doi.org/10.1016/j.apor.2025.104496

artikkel ajakirjas EST / artikkel ajakirjas ENG

181

artikkel kogumikus

Self-organizing map, matrix reordering and multidimensional scaling as alternative and complementary methods in a semantic studyKirt, Toomas; Liiv, Innar; Vainik, EneProceedings of the 2007 International Conference on Artificial Intelligence : ICAI 2007. Volume 12007 / p. 385-390 https://www.researchgate.net/publication/220835093_Self-Organizing_Map_Matrix_Reordering_and_Multidimensional_Scaling_as_Alternative_and_Complementary_Methods_in_a_Semantic_Study

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182

artikkel ajakirjas EST / artikkel ajakirjas ENG

Shape classification using hydrodynamic detection via a sparse large-scale 2D-sensitive artificial lateral lineWolf, Ben J.; Pirih, Primoz; Kruusmaa, Maarja; Van Netten, Sietse M.IEEE Access2020 / p. 11393 - 11404 https://doi.org/10.1109/ACCESS.2020.2965316 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

183

artikkel ajakirjas

Short-term PV energy generation forecasting using deep learningShabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Astapov, Victor; Kilter, JakoTelematique2022 https://www.provinciajournal.com/index.php/telematique/article/view/813

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184

artikkel kogumikus

Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machineKudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, Ants2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / 7 p. : ill https://doi.org/10.1109/EDPE58625.2023.10274030

artikkel kogumikus

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

185

artikkel ajakirjas EST / artikkel ajakirjas ENG

Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machinesRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Khang, Huynh VanEnergies2022 / art. 9507 https://doi.org/10.3390/en15249507 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

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

186

artikkel ajakirjas

Simulation of missile autopilot with two-rate hybrid neural network systemAstrov, Igor; Tatarly, Sergei; Tatarly, SvetlanaAdvances in electrical and computer engineering2007 / 1, p. 18-22 : ill https://www.researchgate.net/publication/41391566_Simulation_of_Missile_Autopilot_with_Two-Rate_Hybrid_Neural_Network_System

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187

artikkel kogumikus

Simulation of neural network and fuzzy logic hybrid control for two-rate stochastic model of an experimental aircraftAstrov, Igor; Rüstern, EnnuProceedings of the Asian Simulation Conference - 5th International Conference on System Simulation and Scientific Computing (ICSC 2002), Shangai, China, November 3-6, 2002. Vol. 22002 / p. 852-856

artikkel kogumikus

188

artikkel ajakirjas

Simulation of noise-cancelling in the cocpit of an aircraft using two-rate hybrid neural networkAstrov, Igor; Tatarly, Sergei; Tatarly, SvetlanaAdvances in electrical and computer engineering2007 / 2, p. 7-10 https://www.researchgate.net/publication/41391551_Simulation_of_Noise-Cancelling_in_the_Cockpit_of_an_Aircraft_Using_Two-Rate_Hybrid_Neural_Network

artikkel ajakirjas

189

artikkel kogumikus

Simulation of three-rate neural and neuro-fuzzy hybrid control for the multidimensional stochastic model of a fighter aircraftAstrov, Igor; Pedai, Andrus; Rüstern, EnnuSCI 2004 : the 8th World Multi-Conference on Systemics, Cybernetics and Informatics : July 18-21, 2004, Orlando, Florida, USA. Vol. 8 : proceedings2004 / p. 351-356

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190

artikkel kogumikus

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

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191

artikkel kogumikus

Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of an experimental aircraftAstrov, Igor; Pedai, Andrus; Rüstern, EnnuProceedings of the International Conference on Cybernetics and Information Technologies, Systems and Applications (CITSA 2004) [and] 10th International Conference on Information System Analysis and Synthesis (ISAS 2004) : Orlando, Florida, USA. Vol. 22004 / p. 295-300

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192

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Simulation of two-rate adaptive hybrid control with neural and neuro-fuzzy networks for stochastic model of missile autopilotAstrov, Igor; Pedai, Andrus; Rüstern, EnnuWCICA 2004 : Fifth World Congress on Intelligent Control and Automation : June 15-19, 2004, Hangzhou, China : conference proceedings. Vol. 32004 / p. 2603-2607 : ill

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193

artikkel kogumikus

Simulation of two-rate adaptive neural network and fuzzy logic hybrid control for stochastic model of an experimental aircraftAstrov, Igor; Pedai, Andrus; Rüstern, EnnuCanadian Conference on Electrical and Computer Engineering 2004 = Conference canadienne en genie electrique et informatique : May 2-5, 2004, Fallsview Sheraton, Niagara Falls, Canada : proceedings. Vol. 12004 / p. 125-128 : ill

artikkel kogumikus

194

artikkel ajakirjas

Simulation of two-rate hybrid control for nonlinear stochastic model of a diesel engine actuatorAstrov, IgorAdvances in electrical and computer engineering : journal of the Faculty of Electrical Engineering, Stefan Cel Mare University, Suceava, Romania2003 / 1(19), p. 72-83 https://aece.ro/abstractplus.php?year=2003&number=1&article=12

artikkel ajakirjas

195

artikkel ajakirjas

Simulation of two-rate neural network control for stochastic model of an experimental aircraftAstrov, Igor; Tatarly, S.; Tatarly, S.Advances in electrical and computer engineering2006 / 1, p. 75-83 https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=33c1d222839a8b7ec32792cb70adc3812139332a

artikkel ajakirjas

196

artikkel kogumikus

Simulation of two-rate neural network control for stochastic model of missile autopilotAstrov, Igor; Tatarly, S.; Tatarly, S.Proceedings of the 6th WSEAS International Conference on Systems Theory and Scientific Computation : ISTASC'06 : Elounda, Agios Nikolaos, Crete Island, Greece, August 18-20, 20062006 / p. 169-174 https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=33c1d222839a8b7ec32792cb70adc3812139332a

artikkel kogumikus

197

artikkel kogumikus

Situational awareness based on neural control of an autonomous helicopter during hovering manoeuvresAstrov, Igor; Pedai, AndrusProceedings of 5th International Conference on Electrical and Computer Engineering (ICECE 2008) : Dhaka, Bangladesh, December 20-22, 20082008 / p. 857-860 https://ieeexplore.ieee.org/document/4769331

artikkel kogumikus

198

artikkel kogumikus

Slope-based event-driven feature extraction for cardiac arrhythmia classificationDuforest, Julien; Larras, Benoit; John, Deepu; Märtens, Olev; Frappe, Antoine2021 IEEE Biomedical Circuits and Systems Conference2021 / 4 l https://doi.org/10.1109/BioCAS49922.2021.9644957

artikkel kogumikus

199

artikkel ajakirjas

Some iterative regularized methods for highly nonlinear least squares problemsKangro, Inga; Vaarmann, OtuMathematical modelling and analysis2009 / 2, p. 179-186 https://www.tandfonline.com/doi/abs/10.3846/1392-6292.2009.14.179-186

artikkel ajakirjas

200

artikkel kogumikus

Some methods of parameter identification for multilayer neural networksVaarmann, OtuMODA 68 : 68th Meeting of the Euro Working Group Multiple Criteria Decision Aiding : October 2-3, 2008, Chania, Greece : abstracts and papers2008 / [5] p

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