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13326

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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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13327

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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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Related publications 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

13328

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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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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13329

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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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13330

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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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13331

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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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13332

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

13333

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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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13334

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Deep Transfer Learning Approach Using Filtered Time-Frequency Representations of Current Signals for Bearing Fault Detection in Induction MachinesEl Bouharrouti, Nada; Nemat Saberi, Alireza; Hussain Khan, Muhammad Dayyan; Kudelina, Karolina; Naseer, Muhammad Usman; Belahcen, AnouarIET Electric Power Applications2025 https://doi.org/10.1049/elp2.70074

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13335

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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

13336

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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

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13337

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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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13338

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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

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13339

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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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13340

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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

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13341

newspaper article

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

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13342

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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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13343

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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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13344

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DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural NetworksAhmadilivani, Mohammad Hasan; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimarXiv.org2024 / 14 p. : ill https://doi.org/10.48550/arXiv.2410.15742

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Related publications 1

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

13345

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Deering rohuniitja proovitööde valguselTehnika Põllumajanduses1939 / lk. 30

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13346

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[Deeringi reaskülvimasin]Uus Talu1927 / lk. 259 : fot

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13347

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"Deeringi" uus niidumasinPõllumees1932 / lk. 291-292 : joon

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"Deering-Mc Cormik" niidumasina 100 a. juubel 1831-1931Tehnika Põllumajanduses1931 / lk. 45-48 : fot

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Defect analysis of renovated facade walls with etics solutions in cold climate conditionsLiisma, Eneli; Sepri, Raili; Raado, Lembi-Merike; Lill, Irene; Witt, Emlyn David Qivitoq; Sulakatko, Virgo; Põldaru, MattiasCESB 16 - Central Europe Towards Sustainable Building 2016 : Innovations for Sustainable Future : [book of abstracts]2016 / p. 65-66

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13350

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Defect analysis of renovated facade walls with etics solutions in cold climate conditions [Online resource]Liisma, Eneli; Sepri, Raili; Raado, Lembi-Merike; Lill, Irene; Witt, Emlyn David Qivitoq; Sulakatko, Virgo; Põldaru, MattiasCESB 16 - Central Europe Towards Sustainable Building 2016 : Innovations for Sustainable Future : [electronic proceedings]2016 / p. 174-181 : ill

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