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12851

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Deep defects in Cu2ZnSnS4 monograin solar cellsKask, Erkki; Raadik, Taavi; Grossberg, Maarja; Josepson, Raavo; Krustok, JüriEnergy procedia2011 / p. 261-265

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12852

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Deep energy renovation of old concrete apartment building to nZEB by using wooden modular elementKalamees, Targo; Pihelo, Peep; Kuusk, KalleII Miedznarodowa Konferencja : Forum Holzbau Polska 20182018 / 10 p. : ill http://forum-holzbau.pl/category/filmy-i-zdjecia/ https://www.etis.ee/File/DownloadPublic/b9656a11-ef9e-4b34-9033-83254134f617?name=Deep%20energy%20renovation%20of%20old%20concrete%20apartment%20building%20to%20nZEB%20by%20using%20wooden%20modular%20elements.pdf&type=application%2Fpdf

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12853

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Deep energy renovation of old concrete apartment building to nZEB by using wooden modular elementsKalamees, Targo; Pihelo, Peep; Kuusk, KalleForum Holz Bau Garmisch 17 : 23. Internationales Holzbau-Forum (IHF 2017) : aus der Praxis - für die Praxis : Kongresszentrum, Garmisch-Partenkirchen ; B. 22017 / p. 317-325 : ill http://www.gbv.de/dms/tib-ub-hannover/1014402786.pdf

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12854

raamat

Deep habits and exchange rate pass-throughJacob, Punnoose; Uusküla, Lenno2016 http://www.ester.ee/record=b4601569*est http://www.digar.ee/arhiiv/nlib-digar:285447

raamat

12855

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A deep learning approach for LoS/NLoS identification via PRACH in UAV-assisted public safety networksScazzoli, Davide; Magarini, Maurizio; Reggiani, Luca; Le Moullec, Yannick; Alam, Muhammad Mahtab2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, August 31 - September 3, 2020 in London, United Kingdom : proceedings2020 / 6 p https://doi.org/10.1109/PIMRC48278.2020.9217127

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12856

artikkel kogumikus

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

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12857

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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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12858

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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 Vehicles2024 https://doi.org/10.1109/TIV.2024.3417216

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12859

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A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patternsJiao, Wei; Atwal, Gurnit; Polak, Paz; Karlic, Rosa; Cuppen, Edwin; Al-Shahrour, Fatima; Bailey, Peter J.; Biankin, Andrew V.; Boutros, Paul C.; Uusküla-Reimand, LiisNature Communications2020 / art. 728, 12 p. : ill https://doi.org/10.1038/s41467-019-13825-8 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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12860

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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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12861

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Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissionsBignoumba, Nzamba; Bertl, Markus; Mellouli, Nedra; Ben Yahia, SadokResearch Square2024 / 32 p. : ill https://doi.org//10.21203/rs.3.rs-4705729/v1

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Seotud publikatsioonid 1

Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal

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artikkel ajakirjas

Deep oxidative desulfurization of planar compounds over functionalized metal-organic framework UiO-66(Zr): An optimization studyBarghi, Bijan; Mõistlik, Tanel; Raag, Anastassia; Volokhova, Maria; Reile, Indrek; Seinberg, Liis; Mikli, Valdek; Niidu, AllanACS omega2024 / p. 23329-23338 https://doi.org/10.1021/acsomega.3c09971

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artikkel kogumikus

Deep reinforcement learning for automated tuning of cavity filtersSekhri, Even; Tamre, Mart; Kapoor, RajivProceedings of ieeeforum International Conference2019 / p. 53 http://www.digitalxplore.org/up_proc/pdf/408-154943387153.pdf

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12864

artikkel ajakirjas EST / artikkel ajakirjas ENG

Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge networkSellami, Bassem; Hakiri, Akram; Ben Yahia, SadokFuture generation computer systems2022 / p. 363-379 https://doi.org/10.1016/j.future.2022.07.024 Journal metrics at Scopus Article at Scopus Journal metrics at Scopus Article at Scopus

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12865

artikkel ajakirjas EST / artikkel ajakirjas ENG

Deep reinforcement learning-based digital twin for droplet microfluidics controlGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, TamasPhysics of Fluids2023 / art. 082020 https://doi.org/10.1063/5.0159981 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Seotud publikatsioonid 1

Closed-loop droplet size control in microﬂuidics = Suletud ahelaga tilkade suuruse juhtimine mikroﬂuidikas

12866

artikkel kogumikus

Deep semantics of visual languagesGrigorenko, Pavel; Tõugu, EnnKnowledge-based software engineering : proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering2006 / p. 83-95 : ill

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12867

artikkel ajakirjas

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, BjörnarXiv.org2023 / 8 p. : ill https://doi.org/10.48550/arXiv.2303.08226

artikkel ajakirjas

12868

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Deeper insights into the validation of hydrodynamic models using a synergy of remote sensing dataDelpeche-Ellmann, Nicole Camille; Varbla, Sander; Jahanmard, Vahidreza; Ellmann, ArtuBaltic Earth Workshop Climate projections and uncertainties in the northern Baltic Sea region, Helsinki, Finland, 19-20 November, 2019 : Programme, Abstracts, Participants2019 / p. 14-15

artikkel kogumikus

12869

artikkel kogumikus

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

artikkel kogumikus

12870

artikkel kogumikus

DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881

artikkel kogumikus

12871

artikkel kogumikus

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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12872

artikkel ajakirjas

Deep-level photoluminescence of doped CdTe in 0,8 eV regionKrustok, Jüri; Lõo, A.; Piibe, ToomasJournal of physics and chemistry of solids1991 / 8, p. 1037-1038

artikkel ajakirjas

12873

artikkel ajalehes

Deeptech Sandbox toob Eestisse süvatehnoloogia eksperdid tippkeskustest üle Euroopa : Järgmisel Deeptech Sandboxil on kohal valdkonna tipptegijad Cambridge’i ülikoolistdigi.geenius.ee2023 Deeptech Sandbox toob Eestisse süvatehnoloogia eksperdid tippkeskustest üle Euroopa : Järgmisel Deeptech Sandboxil on kohal valdkonna tipptegijad Cambridge’i ülikoolist

artikkel ajalehes

12874

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Deep-ultraviolet emitter : rare-earth-free ZnAl2O4 nanofibers via a simple wet chemical routeRojas Hernandez, Rocio Estefania; Rubio-Marcos, Fernando; Romet, Ivo; Del Campo, Adolfo; Gorni, Giulio; Hussainova, Irina; Fernandez, Jose Francisco; Nagirnyi, VitaliInorganic Chemistry2022 / p. 11886-11896 https://doi.org/10.1021/acs.inorgchem.2c01646 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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12875

artikkel ajakirjas

Deering rohuniitja proovitööde valguselTehnika Põllumajanduses1939 / lk. 30

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