Otsing - TalTech teadusportaal

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26

artikkel ajakirjas EST / artikkel ajakirjas ENG

Evaluation of deep neural network compression methods for edge devices using weighted score-based ranking schemeAdemola, Olutosin Ajibola; Leier, Mairo; Petlenkov, EduardSensors2021 / art. 7529 https://doi.org/10.3390/s21227529 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

Efficient Deep Learning Model Optimization for Resource Constrained Devices = Tõhus süvaõppe mudeli optimeerimine piiratud ressurssidega seadmete jaoks

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artikkel kogumikus

Explaining the decisions of deep learning models for load disaggregation (NILM) based on XAIMachlev, Ram; Malka, Asaf; Perl, Michael; Levron, Yoash; Belikov, Juri2022 IEEE Power & Energy Society General Meeting (PESGM)2022 / art. 183865 , p. 1-5 : ill https://doi.org/10.1109/PESGM48719.2022.9917049

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artikkel kogumikus

Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org/10.1109/IBCAST47879.2020.9044558

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseks

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artikkel kogumikus EST / artikkel kogumikus ENG

Forecasting of Sea Level Extremes using Deep Learning and Extreme Value AnalysisDelpeche-Ellmann, Nicole Camille; Rajabi Kiasari, Saeed; Soomere, Tarmo; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-13350 https://meetingorganizer.copernicus.org/EGU25/EGU25-13350.html https://doi.org/10.5194/egusphere-egu25-13350

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Fourier Neural Operators with Temporal Continuity for Ocean EmulationJahanmard, VahidrezaELLIS UnConference Workshop - AI for Earth and Climate Sciences2025 https://www.ellis-jena.eu/ellis-unconference-2025/

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Frequency domain complex-valued convolutional neural networkChakraborty, Mainak; Aryapoor, Masood; Daneshtalab, MasoudExpert Systems with Applications2026 / art. 128893 https://doi.org/10.1016/j.eswa.2025.128893

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Generative adversarial networks as a data augmentation tool for CNN-based Parkinson's disease diagnosticsDzotsenidze, Erik; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2022 / p. 108-113 : ill https://doi.org/10.1016/j.ifacol.2022.10.240 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

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

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artikkel kogumikus

Hardware Trojans for confidence reduction and misclassifications on neural networksGrailoo, Mahdieh; Leier, Mairo; Pagliarini, Samuel NascimentoProceedings Of The Twenty Third International Symposium On Quality Electronic Design (ISQED 2022)2022 / art. 180541, p. 230-235 https://doi.org/10.1109/ISQED54688.2022.9806246

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artikkel kogumikus

Image-Based pavement type classification with convolutional neural networksRiid, Andri; Manna, Davide Liberato; Astapov, SergeiINES 2020 : IEEE 24th International Conference on Intelligent Engineering Systems, July 8-10, 2020, Reykjavik, Iceland : proceedings2020 / p. 55-60 : ill https://doi.org/10.1109/INES49302.2020.9147199

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An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction MotorsKhan, Muhammad Amir; Asad, Bilal; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, AntsMachines2026 / art. 68 https://doi.org/10.3390/machines14010068

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An intelligent decision support method for assisted ship maneuvering and route planning using pre-trained deep learning modelZhang, M. Y.; Shen, W. H.; Tsoulakos, N.; Wang, H. D.; Kujala, Pentti Jouko Sakari; Hirdaris, S.Trends in Collision and Grounding of Ships and Offshore Structures2025 / p. 440-448 https://doi.org/10.1201/9781003684404-56

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Kolmogorov-Arnold networks for algorithm design in battery energy storage system applicationsZequera, Rolando Antonio Gilbert; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsEnergy Reports2025 / p. 2664-2677 https://doi.org/10.1016/j.egyr.2025.02.002 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

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

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Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networkingMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Vaarandi, Risto; Inoubli, WissemIEEE Access2023 / p. 140428 - 140442 https://doi.org/10.1109/ACCESS.2023.3341755 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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A light-weight CNN model for efficient Parkinsons disease diagnosticsWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Nõmm, Sven; Ruzhansky, Michael36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 20232023 / p. 616-621 https://doi.org/10.1109/CBMS58004.2023.00289 Conference proceedings at Scopus Article at Scopus Article at WOS

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artikkel kogumikus

Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

artikkel kogumikus

Seotud publikatsioonid 1

Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem

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Measuring explainability and trustworthiness of power quality disturbances classifiers using XAI - explainable artificial intelligenceMachlev, Ram; Perl, Michael; Belikov, Juri; Levy, Kfir; Levron, YoashIEEE transactions on industrial informatics2022 / p. 5127−5137 https://doi.org/10.1109/TII.2021.3126111 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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artikkel ajakirjas

Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research noteYao, Chaowen; Fabritius, Eeva Henna Helena; Fricker, Pia; Dembski, FabianLandscape and urban planning2025 / art. 105226 https://doi.org/10.1016/j.landurbplan.2024.105226

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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiersWang, Qianchao; Kapuza, Itamar; Baimel, Dmitry; Belikov, Juri; Levron, Yoash; Machlev, RamElectric Power Systems Research2023 / art. 109574 https://doi.org/10.1016/j.epsr.2023.109574 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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artikkel kogumikus

Non-determinism in nowadays computing and ITHenno, Jaak; Jaakkola, Hannu; Mäkelä, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 794-801 https://doi.org/10.23919/MIPRO48935.2020.9245377

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dissertatsioon

Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdeleKerner, Madis2024 https://www.ester.ee/record=b5675484*est https://digikogu.taltech.ee/et/Item/3568fe35-19c3-43e6-9525-73c79371ab13 https://doi.org/10.23658/taltech.16/2024

dissertatsioon

Seotud publikatsioonid 3

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Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehiclesPolukhin, Andrii; Gordienko, Yuri; Jervan, Gert; Stirenko, SergiiPattern Recognition and Image Analysis : 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27–30, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-36616-1_39 Conference proceedings at Scopus Article at Scopus

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Observability of a prediction model post-deployment data drift : the case of international trade valueSellami, Bassem; Ounoughi, Chahinez; Kalvet, Tarmo; Tiits, Marek; Ben Yahia, SadokJournal of supercomputing2026 / art. 243 https://doi.org/10.1007/s11227-026-08364-1 https://link.springer.com/article/10.1007/s11227-026-08364-1

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networksLõuk, Roland; Riid, Andri; Pihlak, Rene; Tepljakov, AlekseiAlgorithms2020 / art. 198, 27 p. : ill https://doi.org/10.3390/a13080198 Journal metrics at scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

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