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201

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

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202

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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

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203

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

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204

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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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205

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A sophisticated modeling approach for photovoltaic systems in load frequency controlBakeer, Abualkasim Ahmed Ali; Magdy, Gaber; Chub, Andrii; Bevrani, HassanInternational journal of electrical power and energy systems2022 / art. 107330, 12 p. : ill https://doi.org/10.1016/j.ijepes.2021.107330 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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206

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Special session : approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, Mahdi2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 Conference proceeding at Scopus Article at Scopus Article at WOS

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Seotud publikatsioonid 1

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

207

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Special session: in-field ML-assisted intermittent fault localization and management in RISC-V SoCsSelg, Hardi; Shibin, Konstantin; Tsertov, Anton; Jenihhin, Maksim; Ellervee, Peeter; Raik, Jaan2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)2024 https://doi.org/10.1109/DFT63277.2024.10753541 Conference proceedings at Scopus Article at Scopus Article at WOS

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208

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State-space control of nonlinear systems identified by ANARX and neural network based SANARX modelsVassiljeva, Kristina; Petlenkov, Eduard; Belikov, JuriThe 2010 International Joint Conference on Neural Networks (IJCNN) : 18-23 July 2010, Barcelona : proceedings2010 / p. 3816-3823 : ill https://ieeexplore.ieee.org/document/5596581

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209

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Structural health monitoring on offshore jacket platforms using a novel ensemble deep learning modelWang, Mengmeng; Incecik, Atilla; Tian, Zhe; Zhang, Mingyang; Kujala, Pentti Jouko Sakari; Gupta, Munish; Krolczyk, Grzegorz; Li, ZhixiongOcean engineering2024 / art. 117510 https://doi.org/10.1016/j.oceaneng.2024.117510 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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210

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Structure identification of NN-ANARX model by genetic algorithm with combined cross-correlation-test based evaluation functionNõmm, Sven; Vassiljeva, Kristina; Belikov, Juri; Petlenkov, Eduard2011 9th IEEE International Conference on Control and Automation (ICCA) : Santiago, Chile, December 19-21, 2011 : [proceedings]2011 / p. 65-70 : ill https://ieeexplore.ieee.org/document/6137961

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211

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The structure of FET-based negative differential resistance for microwave and neural network applicationsTaniloo, RainerBEC 2002 : proceedings of the 8th Biennial Baltic Electronics Conference : October 6-9, 2002, Tallinn, Estonia2002 / p. 73-76 : ill

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212

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Synthesis and bioassay of improved mosquito repellents predicted from chemical structureKatritzky, Alan R.; Wang, Zuoquan; Slavov, Svetoslav; Tsikolia, Maia; Dobchev, DimitarProceedings of the National Academy of Sciences of the United States of America2008 / 21, p. 7359-7364

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213

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A systematic literature review on hardware reliability assessment methods for deep neural networksAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimACM Computing Surveys2024 / art. 141, 39 p. : ill https://doi.org/10.1145/3638242 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Seotud publikatsioonid 2

214

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Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 Conference proceedings at Scopus Article at Scopus Article at WOS

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Seotud publikatsioonid 1

Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

215

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TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge DevicesLoni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings2022 / p. 1115-1118 https://doi.org/10.23919/DATE54114.2022.9774615

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216

artikkel ajakirjas

Technology design of composite partsKarjust, Kristo; Küttner, Rein; Pohlak, MeelisJournal of achievements in materials and manufacturing engineering2007 / 2, p. 23-26 : ill https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=7a2f5ebd0bd5e7c08ff1cebc18a438a5c89e2231

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217

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The production technology considerations of large composite partsKarjust, Kristo; Küttner, Rein; Pohlak, MeelisProceedings of the 6th International Conference of DAAAM Baltic "Industrial Engineering" : 24-26th April 2008, Tallinn, Estonia. [1]2008 / p. 251-256 : ill https://www.researchgate.net/publication/289439727_The_production_technology_considerations_of_large_composite_parts

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218

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The self-organizing maps of Estonian terms of emotionKirt, Toomas; Vainik, EneProceedings of the 13th Turkish Symposium on Artificial Intelligence and Neural Networks : 10-11 June 2004, Foca, Izmir2004 / p. 61-67

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219

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3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detectionZoljodi, Ali; Loni, Mohammad; Abadijou, Sadegh; Alibeigi, Mina; Daneshtalab, MasoudArtificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I2022 / p. 404-415 https://doi.org/10.1007/978-3-031-15919-0_34 Conference Proceedings at scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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220

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Towards a smarter charging infrastructure : real-time availability forecasting for EVsManai, Meriem; Sellami, Bassem; Ben Yahia, SadokProcedia Computer Science2024 / p. 930 - 939 https://doi.org/10.1016/j.procs.2024.09.512 Conference proceedings at Scopus Article at Scopus

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221

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Towards artificial intelligence based automatic adaptive response analyzer for high frequency analog BISTPetlenkov, Eduard; Jutman, Artur; Nõmm, Sven; Ubar, Raimund-JohannesCIMSA 2008 : IEEE International Conference on Computational Intelligence for Measurement Systems and Applications : Istanbul, Turky, July 14-16, 20082008 / p. 99-104 : ill https://ieeexplore.ieee.org/document/4595841

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222

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TrajectoryNAS: a neural architecture search for trajectory predictionSharifi, Ali Asghar; Zoljodi, Ali; Daneshtalab, MasoudSensors2024 / 15, p. : ill https://doi.org/10.3390/s24175696 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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223

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Triple fixed-point MAC unit for deep learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, ThomasProceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference2021 / p. 1404-1407 https://doi.org/10.23919/DATE51398.2021.9474020

artikkel kogumikus

Seotud publikatsioonid 1

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

224

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Using artificial neural networks to predict cell-penetrating compoundsKarelson, Mati; Dobchev, DimitarExpert opinion drug discovery2011 / p. 783-796 : ill

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225

artikkel ajalehes

Uus tehisintellekt teeb vahet haige ja terve inimese häälel [Võrguväljaanne]Harrik, Airikanovaator.err.ee2021 / fot Uus tehisintellekt teeb vahet haige ja terve inimese häälel

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