Essays about: "advantages of time series"
Showing result 1 - 5 of 46 essays containing the words advantages of time series.
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1. Reactor Chemistry in LWR SMRs : Determination of the rate constant for the reaction between boric acid and hydroxyl radicals
University essay from KTH/Tillämpad fysikalisk kemiAbstract : Ett problem vid byggandet av nya kärnkraftverk för elproduktion är de stora investeringskostnaderna samt den långa tiden det att få tillstånd för en reaktor och bygga den. Nyligen färdigställdes den tredje reaktorn vid Olkiluoto I Finland, den tog 18 år att färdigställa exklusive tiden att få tillstånd för reaktorn. READ MORE
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2. On modelling OMXS30 stocks - comparison between ARMA models and neural networks
University essay from Uppsala universitet/Matematiska institutionenAbstract : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. READ MORE
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3. Status Mapping of tank to grave management of Low-GWP refrigerants.
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. READ MORE
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4. Efficient FE Modeling of Large Casted Parts
University essay from KTH/MaskinkonstruktionAbstract : The design and analysis of large casted parts present significant challenges due to their complex geometry. Finite Element (FE) modeling is a vital tool for understanding the performance of casted components. However, the computational requirements associated with these parts often lead to excessive processing times and resource utilization. READ MORE
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5. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE