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2751

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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

journal article EST / journal article ENG

2752

book article EST / book article ENG

Deep eutectic solvents as phase change materials for efficient thermal energy storageRafique, Nouman; Koel, Mihkel; Järvik, Oliver7th Edition of the Iberoamerican Meeting on Ionic Liquids2024 / p. 40 https://media.sci-meet.com/imil2024.events.chemistry.pt/5b2baf78-e9f0-4f60-9f54-9a115d3be118/BookAbstracts_IMIL2024_FINAL_2.pdf

book article EST / book article ENG

2753

book article EST / book article ENG

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

book article EST / book article ENG

2754

book article

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

2755

book article

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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2756

book article

Deep learning for radar-based object detection in unmanned ground vehiclesErsü, Can; Petlenkov, Eduard; Janson, KarlFuture Frontiers : PhD Conference on Emerging Technologies : Book of Abstracts2025 / p. 8 : oral 33 https://tuit.ut.ee/sites/default/files/2025-05/PhD%20Conference%202025%20Book%20of%20Abstracts_pub3.pdf

book article

2757

journal article

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 Vehicles2025 / p. 668-682 https://doi.org/10.1109/TIV.2024.3417216

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

2758

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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

journal article EST / journal article ENG

2759

book article

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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2760

journal article

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

2761

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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

journal article EST / journal article ENG

2762

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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

journal article EST / journal article ENG

2763

journal article EST / journal article 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

journal article EST / journal article ENG

2764

journal article EST / journal article 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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Closed-loop droplet size control in microﬂuidics = Suletud ahelaga tilkade suuruse juhtimine mikroﬂuidikas

2765

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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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2766

book article

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

2767

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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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2768

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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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2769

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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

journal article EST / journal article ENG

2770

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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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2771

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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

journal article

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

2772

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Defect engineering in Sb2Se3 via post-growth thermal treatments : a photoluminescence studyAbbasi, Nafiseh; Kaupmees, Reelika; Krustok, Jüri; Timmo, Kristi; Mengü, Idil; Mikli, Valdek; Kauk-Kuusik, Marit; Grossberg-Kuusk, Maarja2025 IEEE 53rd Photovoltaic Specialists Conference (PVSC)2025 / p. 648-650 https://doi.org/10.1109/PVSC59419.2025.11132953

book article EST / book article ENG

2773

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Defect structure of Cu‐doped cadmium selenideÖpik, Andres; Varvas, JüriPhysica status solidi (a) : applications and materials science1982 / p. 467-473 : ill https://doi.org/10.1002/pssa.2210740212 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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2774

journal article EST / journal article ENG

Defect studies in Cu2ZnSnSe4 and Cu2ZnSn(Se0.75S0.25)4 by admittance and photoluminescence spectroscopyKask, Erkki; Grossberg, Maarja; Josepson, Raavo; Salu, Pille; Timmo, Kristi; Krustok, JüriMaterials science in semiconductor processing2013 / p. 992-996 : ill https://doi.org/10.1016/j.mssp.2013.02.009 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

2775

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Defect-topology control of anisotropic lattice flexibility for high-performance fluoride-Ion electrolytesDanziger, Neeme; Kois, Julia; Samoson, Ago; Witter, Raiker; Prokofiev, Jaan; Mere, Arvo; Dedova, Tatjana; Pihl, Olga; Polivtseva, SvetlanaChemRxiv2026 / 15 p https://doi.org/10.26434/chemrxiv.15000145/v1

journal article EST / journal article ENG

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