Dissertations / Theses on the topic 'LSTM modeli'
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Li, Edwin. "LSTM Neural Network Models for Market Movement Prediction." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231627.
Full textTang, Hao. "Bidirectional LSTM-CNNs-CRF Models for POS Tagging." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362823.
Full textBacker-Meurke, Henrik, and Marcus Polland. "Predicting Road Rut with a Multi-time-series LSTM Model." Thesis, Högskolan Dalarna, Institutionen för information och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-37599.
Full textVitali, Greta <1995>. "“Forecasting Stock Index Volatility: A comparison between GARCH and LSTM models”." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15933.
Full textWang, Nancy. "Spectral Portfolio Optimisation with LSTM Stock Price Prediction." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273611.
Full textNääs, Starberg Filip, and Axel Rooth. "Predicting a business application's cloud server CPU utilization using the machine learning model LSTM." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301247.
Full textWerngren, Simon. "Comparison of different machine learning models for wind turbine power predictions." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362332.
Full textShojaee, Ali B. S. "Bacteria Growth Modeling using Long-Short-Term-Memory Networks." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617105038908441.
Full textAnese, Gianluca <1995>. "Explanatory power of GARCH models using news-based investor sentiment: Applications of LSTM networks for text classification." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/16940.
Full textSuresh, Sreerag. "An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99287.
Full textParthiban, Dwarak Govind. "On the Softmax Bottleneck of Word-Level Recurrent Language Models." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41412.
Full textHellstenius, Sasha. "Model comparison of patient volume prediction in digital health care." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229908.
Full textCissoko, Mamadou Ben Hamidou. "Adaptive time-aware LSTM for predicting and interpreting ICU patient trajectories from irregular data." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD012.
Full textVera, Barberán José María. "Adding external factors in Time Series Forecasting : Case study: Ethereum price forecasting." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289187.
Full textAhmed, War, and Mehrdad Bahador. "The accuracy of the LSTM model for predicting the S&P 500 index and the difference between prediction and backtesting." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229415.
Full textRostami, Jako, and Fredrik Hansson. "Time Series Forecasting of House Prices: An evaluation of a Support Vector Machine and a Recurrent Neural Network with LSTM cells." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385823.
Full textAnstensrud, Ole-Petter Bård. "Pricing a Bermudan Swaption using the LIBOR Market Model : A LSM approach." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9787.
Full textGoncalves, Juliana Bittencourt. "Calibração do modelo de superfície noah lsm: aplicação em uma região agrícola no sul do Brasil." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/3934.
Full textCheng, Kun. "Deformable models for adaptive radiotherapy planning." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22893.
Full textVan, den Bergh F., Wyk MA Van, Wyk BJ Van, and G. Udahemuka. "A comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation." SAIEE Africa Research Journal, 2007. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001082.
Full textMukhedkar, Dhananjay. "Polyphonic Music Instrument Detection on Weakly Labelled Data using Sequence Learning Models." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279060.
Full textUjihara, Rintaro. "Multi-objective optimization for model selection in music classification." Thesis, KTH, Optimeringslära och systemteori, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298370.
Full textAlmqvist, Olof. "A comparative study between algorithms for time series forecasting on customer prediction : An investigation into the performance of ARIMA, RNN, LSTM, TCN and HMM." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16974.
Full textMirshekarianbabaki, Sadegh. "Blood Glucose Level Prediction via Seamless Incorporation of Raw Features Using RNNs." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1523988526094778.
Full textSibelius, Parmbäck Sebastian. "HMMs and LSTMs for On-line Gesture Recognition on the Stylaero Board : Evaluating and Comparing Two Methods." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162237.
Full textAnnecchini, Andrea. "Valutazione di derivati Americani in modelli multi-dimensionali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/20743/.
Full textSantos, Julio Cesar Grimalt dos. "Cálculo do Value at Risk (VaR) para o Ibovespa, pós crise de 2008, por meio dos modelos de heterocedasticidade condicional (GARCH) e de volatilidade estocástica (Local Scale Model - LSM)." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13521.
Full textAlbert, Florea George, and Filip Weilid. "Deep Learning Models for Human Activity Recognition." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20201.
Full textKeisala, Simon. "Using a Character-Based Language Model for Caption Generation." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163001.
Full textBoukachaba, Niama. "Apport des observations satellitaires hyperspectrales infrarouges IASI au-dessus des continents dans le modèle météorologique à échelle convective AROME." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/19257/1/BOUKACHABA_Niama.pdf.
Full textJain, Monika. "Regularized ensemble correlation filter tracking." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/229266/1/Monika_Jain_Thesis.pdf.
Full textRidhagen, Markus, and Petter Lind. "A comparative study of Neural Network Forecasting models on the M4 competition data." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445568.
Full textMealey, Thomas C. "Binary Recurrent Unit: Using FPGA Hardware to Accelerate Inference in Long Short-Term Memory Neural Networks." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1524402925375566.
Full textLi, Yuntao. "Federated Learning for Time Series Forecasting Using Hybrid Model." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254677.
Full textNováčik, Tomáš. "Rekurentní neuronové sítě pro rozpoznávání řeči." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255371.
Full textBurg, Antoine. "Multivariate extensions for mortality modelling." Electronic Thesis or Diss., Université Paris sciences et lettres, 2025. http://www.theses.fr/2025UPSLD002.
Full textSoares, Leonardo dos Reis Leano. "Estudo do comportamento de sinais OSL de BeO e Al2O3:C usando o Modelo OTOR Simplificado e Método dos Mínimos Quadrados." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-02112018-132426/.
Full textLund, Max. "Duplicate Detection and Text Classification on Simplified Technical English." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158714.
Full textAlsulami, Khalil Ibrahim D. "Application-Based Network Traffic Generator for Networking AI Model Development." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1619387614152354.
Full textHolcner, Jonáš. "Strojový překlad pomocí umělých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-386020.
Full textEriksson, Henrik. "Federated Learning in Large Scale Networks : Exploring Hierarchical Federated Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292744.
Full textRamesh, Chandra D. S. "Turbulent Mixed Convection." Thesis, Indian Institute of Science, 2000. https://etd.iisc.ac.in/handle/2005/236.
Full textRamesh, Chandra D. S. "Turbulent Mixed Convection." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/236.
Full textElistratova, Vera. "Conception optimale d’une gamme de moteurs synchrones à démarrage direct à haute performance énergétique." Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0022/document.
Full textKau, Wei-Hao, and 高偉豪. "Time series prediction using LSTM Network Models." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ey3638.
Full textYen-LiangLin and 林彥良. "PM 2.5 Prediction based on LSTM Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8gayas.
Full textTSAI, YI-TING, and 蔡宜廷. "Air Pollution Forecasting using LSTM with Aggregation Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/5p88t6.
Full textTSAI, CHENG-HAN, and 蔡承翰. "Application of LSTM Model to Water Stage Forecasting." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/mzv86q.
Full textTsung-LingHsu and 許琮苓. "Stock Market Trend Prediction Based on LSTM Model." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9zca24.
Full textHsu, Yi-Kuan, and 許以觀. "A Factory-aware Attentional LSTM Model for PM2.5 Prediction." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fcx28w.
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