Essays about: "Error plots"

Showing result 1 - 5 of 45 essays containing the words Error plots.

  1. 1. Effects of visualization using different convolution kernels in Julia

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Nils Forsberg; Axel Nilsson; [2023]
    Keywords : Convolution; Julia; visualization; streamlines; vorticity; interpolation; filter;

    Abstract : Many real-world engineering problems require large amounts of data in order to accurately model and predict outcomes. However, this data is often noisy, sampled and discontinuous, making the data difficult to process and giving rise to incorrect models. READ MORE

  3. 2. Implementing Total Electron Content in the Grand Unifed Incoherent Scattering Design and Analysis Program for Investigation of Causes to Scintillations

    University essay from Luleå tekniska universitet/Rymdteknik

    Author : Samuel Sonesson; [2023]
    Keywords : Total Electron Content; Scintillation; Incoherent Scattering; Ionosphere;

    Abstract : Functionality for calculating and plotting diferent Total Electron Content (TEC) measurements such as Slant Total Electron Content (sTEC), error in sTEC, and VerticalTotal Electron Content (vTEC) was implemented into the data analysis program fromEuropean Incoherent Scattering Scientifc Association (EISCAT), the Grand Unifed Incoherent Scattering Design and Analysis Program (GUISDAP). This utilises a thin-singlelayer model of the ionosphere to convert sTEC into the more analytically useful vTEC. READ MORE

  4. 3. Applying unprocessed companydata to time series forecasting : An investigative pilot study

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : August Rockström; Emelie Sevborn; [2023]
    Keywords : Demand Forecasting; Irregular Time Series; Sales Prediction; Dataset Evaluation; Data Preprocessing;

    Abstract : Demand forecasting for sales is a widely researched topic that is essential for a business to prepare for market changes and increase profits. Existing research primarily focus on data that is more suitable for machine learning applications compared to the data accessible to companies lacking prior machine learning experience. READ MORE

  5. 4. Skattning av HGV och stamvolym med data från stereomatchade drönarbilder genom befintliga modeller från Skogliga grunddata

    University essay from SLU/Dept. of Forest Resource Management

    Author : Erik Forslöw; [2023]
    Keywords : drönare; stereofotogrammetri; skogliga grunddata; skogsbruksplanläggning;

    Abstract : Inom den svenska skogsbruksplanläggningen sker idag datainsamlingen traditionellt med subjektivt fördelade relaskopsytor. Den subjektiva mätningen varierar mellan och inom planläggare och har generellt ett relativt medelfel (rRMSE) på 9 % för grundytevägd medelhöjd (HGV) och 15–20 % for volym/ha. READ MORE

  6. 5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Keywords : Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Abstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE