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74326

artikkel kogumikus

Predict the remaining useful life in HVAC filters using a hybrid strategyAlimohammadi, Hossein; Vassiljeva, Kristina; Petlenkov, Eduard; Kull, Tuule Mall; Thalfeldt, MartinCLIMA 2022: the 14th REHVA HVAC World Congress, 22nd – 25th May in Rotterdam, The Netherlands2022 / p. 1-8 https://doi.org/10.34641/clima.2022.273

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74327

artikkel kogumikus

Predictability limits in session-based next item recommendationJärv, PriitRecSys '19: Thirteenth ACM Conference on Recommender Systems, Copenhagen Denmark, September, 20192019 / p. 146–150 https://doi.org/10.1145/3298689.3346990

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74328

artikkel kogumikus

Predictability of the toxicity of the oil-shale industry wastewaters by their phenolic compositionKahru, Anne; Põllumaa, Lee; Reiman, R.; Rätsep, A.Joint Conference of Scandinavian Society of Cell Toxicology and Estonian Society of Toxicology : (SSCT & ETS 98) : Tallinn, October 23-26, 1998 : program and abstracts1998 / l. 31 https://pubmed.ncbi.nlm.nih.gov/25470674/

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74329

artikkel kogumikus

Predictable quantum efficient detector I : photodiodes and designSildoja, Meelis; Manoocheri, Farshid; Kübarsepp, ToomasProceedings of NEWRAD : [Maui, Hawaii, 18-23 September 2011]2011 / p. 227-228 : ill https://cris.vtt.fi/en/publications/predictable-quantum-efficient-detector-i-photodiodes-and-predicte

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74330

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predictable quantum efficient detector. I, Photodiodes and predicted responsivitySildoja, Meelis; Manoocheri, Farshid; Merimaa, Mikko; Ikonen, Erkki; Müller, Ingmar; Werner, Lutz; Gran, Jarle; Kübarsepp, Toomas; Smid, Marek; Rastello, Maria LuisaMetrologia2013 / p. 385-394 : ill https://doi.org/10.1088/0026-1394/50/4/385 https://cris.vtt.fi/en/publications/predictable-quantum-efficient-detector-i-photodiodes-and-predicte Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

74331

artikkel kogumikus

Predictable quantum efficient detector II : characterization resultsMüller, Ingmar; Brida, G.; Kübarsepp, ToomasProceedings of NEWRAD : [Maui, Hawaii, 18-23 September 2011]2011 / p. 209-210 : ill

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74332

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predictable quantum efficient detector. II, Characterization and confirmed responsivityMüller, Ingmar; Johannsen, Uwe; Linke, Ulrike; Socaciu-Siebert, Liana; Smid, Marek; Porrovecchio, Geiland; Sildoja, Meelis; Manoocheri, Farshid; Ikonen, Erkki; Gran, Jarle; Kübarsepp, Toomas; Brida, Giorgio; Werner, LutzMetrologia2013 / p. 395-401 : ill https://doi.org/10.1088/0026-1394/50/4/395 https://www.scilit.com/publications/aacc372397c67cffa0451e026894282f Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

74333

artikkel kogumikus

Predictable quantum efficient detector (PQED)Manoocheri, Farshid; Sildoja, Meelis; Kübarsepp, ToomasProceedings of NEWRAD : [Maui, Hawaii, 18-23 September 2011]2011 / p. 13-15 : ill https://physics.nist.gov/newrad2011/presentations/day3/AM/4_Manoocheri_NEWRAD_invited.pdf

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74334

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predicting a passenger ship's response during evasive maneuvers using Bayesian LearningGil, M.; Montewka, Jakub; Krata, P.Reliability engineering and system safety2025 / art. 110765 https://doi.org/10.1016/j.ress.2024.110765

artikkel ajakirjas EST / artikkel ajakirjas ENG

74335

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predicting business failure after crowdfunding success : are platforms the unsung heroes?Kukk, Mari-LiisJournal of Business Venturing Insights2022 / art. e00308, 11 p. : ill https://doi.org/10.1016/j.jbvi.2022.e00308 Journal metrics at Scopus Article at Scopus

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Seotud publikatsioonid 1

Monetary return crowdfunding : social roots but real losses = Finantstulu pakkuv ühisrahastus : sotsiaalsed juured, kuid päris kaotused

74336

artikkel ajakirjas

Predicting cargo handling and berthing times in bulk terminals : a neural network approachGülmez, Secil; Gülmez, Yigit; Tapaninen, Ulla PiritaCase studies on transport policy2025 / art. 101351 https://doi.org/10.1016/j.cstp.2024.101351

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74337

raamat

Predicting characteristics of the surface roughnessJaanson, Arvo1998 https://www.ester.ee/record=b1164414*est

raamat

74338

artikkel ajakirjas

Predicting CO2 and SO2 emissions in the Baltic States through reorganization of energy infrastructureDenafas, Gintaras; Sitnikovas, Denisas; Galinis, Arvydas; Kudrenickis, Ivars; Klavs, Gaidis; Kuusik, Rein, keemikEnvironment international2004 / p. 1045-1053 : ill

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74339

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predicting context-sensitive urban green space quality to support urban green infrastructure planningKajosaari, Anna; Hasanzadeh, Kamyar; Fagerholm, Nora; Nummi, Pilvi; Kuusisto-Hjort, Paula; Kyttä, MarkettaLandscape and urban planning2024 / art. 104952, 12 p. : ill https://doi.org/10.1016/j.landurbplan.2023.104952 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

74340

artikkel kogumikus EST / artikkel kogumikus ENG

Predicting first-year computer science students drop-out with machine learning methods: A case studyMaksimova, Natalja; Pentel, Avar; Dunajeva, OlgaEducating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 22021 / p. 719-726 https://doi.org/10.1007/978-3-030-68201-9_70 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG

74341

artikkel kogumikus

Predicting frequency disturbances from wide area monitoring of ambient power system dynamicsTuttelberg, Kaur; Kilter, Jako2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Sarajevo, Bosnia and Herzegovina, October 21-25, 2018 : proceedings2018 / 6 p https://doi.org/10.1109/ISGTEurope.2018.8571711

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dissertatsioon

Predicting fuel properties from infrared spectra = Kütuse omaduste hindamine infrapunaspektriltBaird, Zachariah Steven2017 https://digi.lib.ttu.ee/i/?8530 https://www.ester.ee/record=b4689447*est

dissertatsioon

74343

artikkel ajakirjas EST / artikkel ajakirjas ENG

Predicting fuel properties using chemometrics : a review and an extension to temperature dependent physical properties by using infrared spectroscopy to predict densityBaird, Zachariah Steven; Oja, VahurChemometrics and intelligent laboratory systems2016 / p. 41-47 : ill https://doi.org/10.1016/j.chemolab.2016.08.004 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

74344

artikkel kogumikus

Predicting preferable substrate blends for the production of biogasKuusik, Argo; Kuusik, Aare; Loigu, Enn; Sokk, OlevRecent advances in environmental science : [proceedings of the EESD'13, WWAI'13, NAHA'13, CGB'13, GEO'13, FIAAC'13] : Lemesos, Cyprus, March 21-23, 20132013 / p. 192-197 : ill

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74345

artikkel kogumikus EST / artikkel kogumikus ENG

Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG

Seotud publikatsioonid 1

Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

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artikkel kogumikus

Predicting student retention by comparing histograms of bootstrapping for Charnes-Cooper transformation-linear programming discriminant analysisÜbi, Jaan; Übi, Evald; Liiv, Innar; Võhandu, Leo2013 Second International Conference on e-Learning and e-Technologies in Education (ICEEE 2013) : proceedings of a meeting held 23-25 September 2013, Lodz, Poland2013 / p. 110-114 : ill

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74347

artikkel ajakirjas

Predicting student retention by linear programming discriminant analysisÜbi, Jaan; Übi, Evald; Liiv, Innar; Murtazin, KristinaInternational journal of technology and educational marketing2014 / p. 43-53 : ill

artikkel ajakirjas

74348

artikkel kogumikus

Predicting student retention in TTU by using linear programming in data miningÜbi, Jaan; Übi, Evald17th International conference on "Mathematical Modelling and Analysis" : June 6-9, 2012, Tallinn, Estonia : abstracts2012 / p. 140

artikkel kogumikus

74349

artikkel kogumikus EST / artikkel kogumikus ENG

Predicting students' behavior during an e-learning course using data miningUmbleja, Kadri; Ichino, ManabuInteractive Collaborative Learning : proceedings of the 19th ICL Conference. Volume 22017 / p. 175-189 https://doi.org/10.1007/978-3-319-50340-0_14 Journal metrics at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG

74350

artikkel kogumikus

Predicting students final test results based on previous grades and demographicsPentel, Avar; Kaiva, Lisanne-LiisThe 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece2020 / p. 377-382 https://doi.org/10.1109/IISA50023.2020.9284401

artikkel kogumikus

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