Otsing - TalTech teadusportaal

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artikkel ajakirjas

A machine learning approach to achieving energy efficiency in relay-assisted LTE-a downlink systemHassan, Hammad; Ahmed, Ifran; Ahmad, Rizwan; Khammari, Hedi; Bhatti, Ghulam; Ahmed, Waqas; Alam, Muhammad MahtabSensors2019 / art. 3461, 25 p. : ill https://doi.org/10.3390/s19163461

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A PD-type iterative learning algorithm for semi-linear distributed parameter systems with sensors/actuatorsZhang, Jianxiang; Cui, Baotong; Jiang, Zhengxian; Chen, JuanIEEE Access2019 / p. 159037 - 159047 : ill https://doi.org/10.1109/ACCESS.2019.2950456

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A primer on public safety communication in the context of terror attacks: the NATO SPS “COUNTER-TERROR” projectAlam, Muhammad Mahtab; Le Moullec, Yannick; Ahmad, Rizwan; Magarini, Maurizio; Reggiani, LucaAdvanced Technologies for Security Applications : Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium2020 / p. 19-34 https://doi.org/10.1007/978-94-024-2021-0_3

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A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemicRasheed, Jawad; Jamil, Akhtar; Draheim, DirkChaos, solitons & fractals2020 / art. 110337, 17 p https://doi.org/10.1016/j.chaos.2020.110337

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A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming modelsFallah, Mohammad K.; Fazlali, Mahmood; Daneshtalab, MasoudComputing2021 / 19 l https://doi.org/10.1007/s00607-021-01004-x

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A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorderBertl, Markus; Metsallik, Janek; Ross, PeeterFrontiers in Psychiatry2022 https://doi.org/10.3389/fpsyt.2022.923613

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Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecastHäring, Tobias; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, Tarmo; Biechl, Helmuth2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 425-428 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690

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Adaptive industrial robots using machine visionKuts, Vladimir; Otto, Tauno; Tähemaa, Toivo; Bukhari, Khuldoon; Pataraia, TengizASME 2018 International Mechanical Engineering Congress and Exposition, Pittsburgh, Pennsylvania, USA, November 9–15, 20182018 / Paper No. IMECE2018-86720, pp. V002T02A093, 8 p. : ill http://dx.doi.org/10.1115/IMECE2018-86720

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An improved cooperative team spraying control of a diffusion process with a moving or static pollution sourceChen, Juan; Cui, Baotong; Chen, YangQuan; Zhuang, BoIEEE/CAA Journal of Automatica Sinica2020 / p. 494 - 504 : ill https://doi.org/10.1109/JAS.2019.1911519

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An NB-IoT based edge-of-things framework for energy-efficient image transferKhan, Sikandar Muhammad Zulqarnain; Le Moullec, Yannick; Alam, Muhammad MahtabSensors2021 / art. 5929, 21 p. : ill https://doi.org/10.3390/s21175929

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Analyzing and investigating encrypted traffic for social media application instagramIqbal, Hameed; Ahmad, Rizwan; Ahmed, Waqas; Qazi, Shams; Alam, Muhammad Mahtab2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p. : ill https://doi.org/10.1109/BEC56180.2022.9935603

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Android malware concept drift using system calls : detection, characterization and challengesGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinExpert systems with applications2022 / art. 117200, 19 p. : ill https://doi.org/10.1016/j.eswa.2022.117200

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Applicability of spiral drawing test for mental fatigue modellingSenkiv, Olesja; Nõmm, Sven; Toomela, AaroIFAC-PapersOnLine2019 / p. 190-195 : ill https://doi.org/10.1016/j.ifacol.2019.01.064

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Application of machine learning for assessment of HS code correctnessSpitšakova, Margarita; Haav, Hele-MaiBaltic journal of modern computing2020 / p. 698-718 https://doi.org/10.22364/bjmc.2020.8.4.13

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Applied machine learning methods in microgrid simulationsHäring, Tobias19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III” : Tartu, Estonia, January 14-17, 20202020 / p. 151-152 : ill https://www.ester.ee/record=b5291755*est

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Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic SeaMostafavi, Majid; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 26 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

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Applying reinforcement learning method for real-time energy managementBorhan Dayani, Aida; Fazlollahtabar, Hamed; Ahmadiahangar, Roya; Rosin, Argo2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)2019 / 5 p. : ill https://doi.org/10.1109/EEEIC.2019.8783766

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Artificial intelligence and educationJaakkola, Hannu; Henno, Jaak; Lahti, J-P.; Järvinen, Raimo; Mäkelainen, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 548-555 https://doi.org/10.23919/MIPRO48935.2020.9245329

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Artificial intelligence and the GDPR : Inevitable nemeses?Kesa, Aleksandr; Kerikmäe, TanelTalTech journal of European studies2020 / p. 68-90 https://doi.org/10.1515/bjes-2020-0022 https://content.sciendo.com/view/journals/bjes/bjes-overview.xml?tab_body=latestIssueToc-79907 https://www.ester.ee/record=b5290032*est

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Artificial intelligence in monitoring and diagnostics of electrical energy conversion systemsVaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Pomarnacki, Raimondas; Belahcen, Anouar; Van Khang, Hyunh2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 20202020 / 4 p https://doi.org/10.1109/IWED48848.2020.9069566

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Artificial lateral line for aquatic habitat modelling: An example for Lefua echigoniaGarcia-Vega, Ana; Fuentes-Perez, Juan Francisco; Fukuda, Shinji; Kruusmaa, Maarja; Sanz-Ronda, Francisco Javier; Tuhtan, Jeffrey AndrewEcological Informatics2021 / art. 101388 https://doi.org/10.1016/j.ecoinf.2021.101388

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Author Correction : DOME : recommendations for supervised machine learning validation in biologyWalsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, GianlucaNature methods2021 / p. 1409–1410 : ill https://doi.org/10.1038/s41592-021-01304-2

artikkel ajakirjas

Seotud publikatsioonid 1

DOME : recommendations for supervised machine learning validation in biology

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Autonomous cyber defence capabilitiesTammet, TanelAutonomous cyber capabilities under international law2021 / p. 36-50 https://www.ester.ee/record=b5395402*est

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The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296

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Bing-CSF-IDF+: a semantics-driven recommender system for newsHuijsduijnen, Lies Hooft van; Hoogmoed, Thom; Keulers, Geertje; Langendoen, Edmar; Langendoen, Sanne; Vos, Tim; Hogenboom, Frederik; Frasincar, Flavius; Robal, TarmoNew trends in databases and information systems : ADBIS 2020 short papers, Lyon, France, August 25–27, 2020 : proceedings2020 / p. 143−153 https://doi.org/10.1007/978-3-030-54623-6_13

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