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De Gaulle: the role of the member states in the European UnionRamiro Troitino, DavidThe European Union and its political leaders : understanding the integration process2022 / p. 195-206 https://doi.org/10.1007/978-3-030-96662-1_17

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677

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Dead-beat-based model predictive current control for the dual-purpose dc-dc/ac PWM modular power converterRoncero-Clemente, Carlos; Escalona, Javier-Gutierrez; Pires, V. Fernao; Matiushkin, Oleksandr; Milanes-Montero, Maria Isabel; Romero-Cadaval, Enrique2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2024 / 6 p https://doi.org/10.1109/CPE-POWERENG60842.2024.10604328 Article at Scopus Article at WOS

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678

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Dealing with data streams: Complex event processing vs. data stream miningLange, Moritz; Koschel, Arne; Astrova, IrinaComputational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020 : Proceedings, Part IV2020 / p. 3-14 https://doi.org/10.1007/978-3-030-58811-3_1 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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679

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Decarbonisation of Estonian oil shale industry : framework and categories definitionEldermann, Meelis; Siirde, Andres; Gušča, JulijaEnergy procedia2017 / p. 77-81 : ill https://doi.org/10.1016/j.egypro.2017.04.020 Conference proceedings at Scopus Article at Scopus Article at WOS

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680

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Decarbonising coastal ferries: case of the Estonian state fleet ferryLaasma, Andres; Otsason, Riina; Tapaninen, Ulla Pirita; Hilmola, Olli-Pekka KristianTowards a Zero-Emissions and Digitalized Transport Sector2024 / p. 121–139 https://doi.org/10.4337/9781035321469.00014

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Related publications 1

Decarbonization Framework of Estonian Coastal Ferries = Eesti rannasõidu parvlaevade dekarboniseerimise raamistik

681

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Decentralized governance for smart contract platform enabling mobile lite wallets using a proof-of-stake consensus algorithmDeval, Vipin; Norta, Alexander; Dai, Patrick; Mahi, Neil; Earls, JordanBlockchain Technology and Innovations in Business Processes2021 / p. 67–93 https://doi.org/10.1007/978-981-33-6470-7_5 Collection metrics at Scopus Article at Scopus

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682

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Decision making and strategic planning for disaster preparedness with a multi-criteria-analysis decision support systemSchlobinski, Sascha; Zuccaro, Giulio; Scholl, Martin; Meiers, Daniel; Denzer, Ralf; Guarino, Sergio; Engelbach, Wolf; Taveter, Kuldar; Frysinger, StevenEnvironmental Software Systems : Infrastructures, Services and Applications : 11th IFIPWG 5.11 International Symposium, ISESS 2015, Melbourne, VIC, Australia, March 25-27, 2015 : proceedings2015 / p. 178-186 : ill https://doi.org/10.1007/978-3-319-15994-2_17 Conference proceedings at Scopus Article at Scopus

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683

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Decision support system for enforcement of child support obligationsZborivskyi, Yurii-Antonii; Herts, Alla; Hnatchuk, Yelyzaveta; Martyniuk, Inna; Boyarchuk, ArtemAdvAIT 2024 : 1st International Workshop on Advanced Applied Information Technologies, Khmelnytskyi, Ukraine/Zilina, Slovakia, December 5, 2024 : proceedings2025 / p. 129-138 https://ceur-ws.org/Vol-3899/paper12.pdf Scopus

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684

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Decision-making method for sound volume control in the 'Smart House' systemHovorushchenko, Tetiana; Aleksov, Serhii; Boyarchuk, Artem2024 IEEE 19th International Conference on Computer Science and Information Technologies (CSIT) : proceedings, 16-19 October 2024, Lviv, Ukraine2024 / 4 p. https://doi.org/10.1109/CSIT65290.2024.10982549 Conference proceedings at Scopus Article at Scopus Article at WOS

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685

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Decision-making support for necessity/optionality/contraindication of vaccination against covid-19 considering legal normsHnatchuk, Yelyzaveta; Hovorushchenko, Tetiana; Misiats, Andrii; Herts, Alla; Boyarchuk, ArtemIDDM 2022 : Proceedings of the 5th International Conference on Informatics and Data-Driven Medicine2022 / p. 202–213 https://ceur-ws.org/Vol-3302/ https://ceur-ws.org/Vol-3302/paper12.pdf Conference proceedings at Scopus Article at Scopus

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686

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Decomposing comonad morphismsAhman, Danel; Uustalu, Tarmo8th Conference on Algebra and Coalgebra in Computer Science : CALCO 2019, University College London, United Kingdom, 3-6 June 20192019 / art. 14 ; 20 p https://doi.org/10.4230/LIPIcs.CALCO.2019.14 Conference proceeding at Scopus Article at Scopus

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687

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Decomposing of cardiac and respiratory signals from electrical bio-impedance data using filtering methodMughal, Yar M.The International Conference on Health Informatics : ICHI 2013, Vilamoura, Portugal on 7-9 November, 20132014 / p. 252-255 : ill https://doi.org/10.1007/978-3-319-03005-0_64 Conference proceedings at Scopus Article at Scopus

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688

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Dedicated to the memory of Prof. M. Sheinkman effect of ultrasonic treatment on the defect structure of the Si-SiO2 systemKropman, Daniel; Dolgov, Sergei; Onufrijevs, Pavels; Dauksta, EdvinsGettering and Defect Engineering in Semiconductor Technology XV2014 / p. 352-357 : ill https://doi.org/10.4028/www.scientific.net/SSP.205-206.352 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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689

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Deductive systems and coherence for skew prounital closed categoriesUustalu, Tarmo; Veltri, Niccolo; Zeilberger, NoamProceedings of the 3rd Annual International Applied Category Theory Conference 20202021 / p. 1-19 https://doi.org/10.48550/arXiv.2101.03809 Conference Proceedings at Scopus Article at Scopus Article at WOS

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690

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Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s diseaseNõmm, Sven; Zarembo, Sergei; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2020 / p. 260-264 https://doi.org/10.1016/j.ifacol.2021.04.185 Conference proceedings at Scopus Article at Scopus Article at WOS

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691

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Deep learning based audio-visual emotion recognition in a smart learning environmentDunajeva, Olga; Pentel, Avar; Ivleva, Natalja; Juštšenko, ValeriaTowards a Hybrid, Flexible and Socially Engaged Higher Education : proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), vol. 12024 / p. 420-431 https://doi.org/10.1007/978-3-031-51979-6_44 Conference proceedings at Scopus Article at Scopus Article at WOS

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692

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Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's DiseaseValla, Elli; Laur, Henry; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, Aaro2023 International Conference on Machine Learning and Applications (ICMLA)2023 / p. 1066-1071 : ill https://doi.org/10.1109/ICMLA58977.2023.00158

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Leveraging artiﬁcial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks

693

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Deep learning for detection of pavement distress using nonideal photographic imagesTepljakov, Aleksei; Riid, Andri; Pihlak, Rene; Vassiljeva, Kristina; Petlenkov, Eduard2019 42nd International Conference on Telecommunications and Signal Processing (TSP)2019 / p. 195-200 : ill https://doi.org/10.1109/TSP.2019.8769086

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694

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Deep learning-based detection of cyberattacks in software-defined networksMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Inbouli, WissemDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 341-354 https://doi.org/10.1007/978-3-031-36574-4_20

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Deep padding and alignment strategies for irregular multivariate clinical time seriesBignoumba, Nzamba; Ben Yahia, Sadok; Mellouli, NedraProcedia Computer Science2024 / p. 3275 - 3284 https://doi.org/10.1016/j.procs.2024.09.312 Conference proceedings at Scopus Article at Scopus

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696

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DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN acceleratorsTaheri, Mahdi; Riazati, Mohamad; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan; Sjödin, Mikael; Lisper, Björn2023 24th International Symposium on Quality Electronic Design (ISQED)2023 / 8 p. : ill https://doi.org/10.1109/ISQED57927.2023.10129353

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Related publications 1

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

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DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive GeneratorRiazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lisper, BjörnRiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2022 / p. 1-6 https://doi.org/10.1109/NorCAS57515.2022.9934617

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698

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Deep-learning based blood cells classification and initial edge device implementationIslam, Md. Raisul; Le Moullec, Yannick; Afrin, Fariha; Ahmed, Faisal2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p. : ill https://doi.org/10.1109/BEC56180.2022.9935610

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699

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DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs’ Reliability AssessmentAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimIEEE European Test Symposium (ETS) : Venice, Italy, 22-26 May 2023 : proceedings2023 / 6 p. : ill https://doi.org/10.1109/ETS56758.2023.10174133

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Defining requirements for a BIM-enabled learning environmentWitt, Emlyn David Qivitoq; Kähkönen, Kalle; Bragadin, Marco AlviseSDGs in Construction Economics and Organization : The 11th Nordic Conference on Construction Economics and Organisation (CREON), May 18-20, 20222023 / p. 237-250 https://doi.org/10.1007/978-3-031-25498-7_17 Conference proceedings at Scopus Article at Scopus

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