Otsing - TalTech teadusportaal

kuva

reasta

69801

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

artikkel kogumikus

69802

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

artikkel kogumikus

69803

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

artikkel kogumikus

69804

artikkel ajakirjas

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

artikkel ajakirjas

69805

artikkel ajakirjas

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

artikkel ajakirjas

69806

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

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

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

69807

raamat

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

raamat

69808

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

artikkel ajakirjas

69809

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

69810

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

artikkel kogumikus

69811

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

69812

artikkel ajakirjas

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

artikkel ajakirjas

69813

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

artikkel kogumikus

69814

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

69815

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

artikkel kogumikus

69816

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

69817

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

69818

artikkel kogumikus

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 http://dx.doi.org/10.1007/978-3-319-50340-0_14

artikkel kogumikus

69819

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

69820

artikkel kogumikus

Predicting the risk of encountering financial difficulties by the example of Estonian municipalitiesLohk, Pirgit; Siimann, PaavoInternational Conference on Accounting, Auditing and Taxation (ICAAT 2016) : Tallinn, Estonia, 8-9 December 20162016 / p. 93-102 : tab http://dx.doi.org/10.2991/icaat-16.2016.30

artikkel kogumikus

69821

artikkel kogumikus

Predicting the risk of encountering financial difficulties by the example of Estonian municipalitiesLohk, Pirgit; Siimann, PaavoAccounting, Auditing and Taxation : ICAAT 2016 : [Tallinn, 8-9 December, 2016] : abstracts2016 / p. 17

artikkel kogumikus

69822

artikkel kogumikus

Prediction and assignment of coupling constants of diastereomeric cyclopentane derivativesAav, Riina; Pehk, Tõnis; Tamp, Sven; Tamm, Toomas; Kudrjašova, Marina; Parve, Omar; Lopp, MargusProgram and abstracts : BOS 2010 International Conference on Organic Synthesis : Riga, Latvia, June 27-30, 20102010 / p. 47

artikkel kogumikus

69823

artikkel kogumikus

Prediction of 1-port source data for centrifugal fansLavrentjev, JüriProceedings of International Conference INTER-Noise 98, Christchurch, New Zealand, 19981998 / p. 310-313

artikkel kogumikus

69824

artikkel kogumikus

Prediction of abrasive erosion impact wear of composite hardfacingsKulu, Priit; Casesnoves, Francisco; Simson, Taavi; Tarbe, RihoMaterials Engineering 2017 : selected, peer reviewed papers from the 26th International Baltic Conference on Materials Engineering 2017, October 26-27, Kaunas, Lithuania2017 / p. 201-206 http://dx.doi.org/10.4028/www.scientific.net/SSP.267.201

artikkel kogumikus

69825

artikkel kogumikus

Prediction of anthropogenic load (human impact) in water bodies using stochastic-deterministic methodsShyshkin, A.I.Theses of the reports of the VIII Symposium Concerning the Problems of Waterbodies Water Quality, Tallinn, Oct. 23-25, 19901990 / p. 67-70

artikkel kogumikus

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