Sökning: "seasonal index"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden seasonal index.

  1. 1. Seasonal variation of LAI in Swedish coniferous forest

    Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Ilia Mastepanov; [2023]
    Nyckelord :leaf area index; LAI; PAR; forest; coniferous forest; Hyltemossa; Earth and Environmental Sciences;

    Sammanfattning : Leaf Area Index (LAI) is quantity representing the amount of foliage in the canopy, which makes it an important parameter for analysing terrestrial ecosystems. Traditional methods of measuring LAI were done by analysing hemispherical photographs by hand and were very time consuming, requiring specific weather conditions (Jonckheere et al. 2004). LÄS MER

  3. 2. Characterization of Landscape Structures and Precipitation in relation to Flooding events in Pampa Deprimida : A Minor Field Study in Argentina

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Linnea Svärd; [2023]
    Nyckelord :Pampeana hydrology; flood risk mapping; runoff; infiltration; precipitation; SCSCN; remote sensingg; Hydrologi på Pampas; kartläggning av översvämningsrisker; avrinning; infiltration; nederbörd; SCS-CN; fjärranalys; Hidrología de la Pampa Deprimida; cartografía del riesgo de inundaciones; escorrentía; infiltración; precipitación; SCS-CN; sensores remotos;

    Sammanfattning : The purpose of the thesis is to characterize flood events within the agricultural fields of flooding Pampa in Argentina. The characterization divides the flat landscape into flood prone areas and endeavour at linking driving factors to flood response based on past events. LÄS MER

  4. 3. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Isabella Mustén Ross; [2023]
    Nyckelord :Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

    Sammanfattning : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. LÄS MER

  5. 4. Inflation Index for the House and Content Portfolio : A Model to Calculate the Future Claim Costs for Trygg-Hansa

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Nadine Eklund; [2023]
    Nyckelord :Inflation Index; Claim Costs; Time Series Forecasting; Trygg-Hansa;

    Sammanfattning : Trygg-Hansa is a Swedish insurance company that specializes in business insurance, home insurance, vehicle insurance, and personal insurance. This work focuses on Trygg-Hansa’s House and Content portfolio, which insures customers’ homes, both the building itself and its contents. LÄS MER

  7. 5. Extreme Value Analysis of Flooding Related Parameters for Halmstad

    Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Ruixiao Jin; [2022]
    Nyckelord :extreme value; GEV fitting; Halmstad; return level; seasonal variation;

    Sammanfattning : Floods is a serious concern across Europe due to the enormous material damage and death toll. Of alltypes of floods, flash floods and large-scale river floods have become major natural hydrological hazardsin most countries. LÄS MER