Sökning: "Väderprognos"

Visar resultat 1 - 5 av 14 uppsatser innehållade ordet Väderprognos.

  1. 1. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images

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

    Författare :Nakita Sunil Oza; [2022]
    Nyckelord :Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

    Sammanfattning : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. LÄS MER

  3. 2. Smart Greenhouse : A microcontroller based architecture for autonomous and remote control

    M1-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Oscar Johansson; Gustav Andersson; [2020]
    Nyckelord :Smart Greenhouse; IOT; Internet of Things; Smart Homes; Home Automation; Automation; Smart Växthus; Smarta Hem; Hemautomation; Automation;

    Sammanfattning : Expensive and complex automated systems for greenhouses are frequently utilized in the horticulture industry. In parallel, smart systems for home automation has recently seen a rapid increase in popularity. This project aims to combine the climate optimization capabilities of industrial systems with the convenience of home automation systems. LÄS MER

  4. 3. Webb eller native applikation? : En jämförelse i prestanda inom vädervisualisering

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Okan Özdes; [2020]
    Nyckelord :Webbapplikation; Native applikation; Kotlin; Diagram;

    Sammanfattning : Problemet med de olika applikations arkitekturer som finns är vilken av de man ska välja för att implementera en ny applikation, då arkitekturerna har både för och nackdelar som kommer med dem. Arbetet fokuserar på arkitekturerna webb och native inom väderprognos domänen. LÄS MER

  5. 4. Implementation of a Block Krylov Algorithm in Variational Data Assimilation

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Clémentine Gas; [2019]
    Nyckelord :;

    Sammanfattning : Numerical weather prediction relies on two major components: sophisticated atmospheric forecast models and equally important data assimilation algorithms. Data assimilation (DA) is the process used to produce the best estimate of the state of a model, using an Earth system numerical model and observations. LÄS MER

  7. 5. Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts

    Kandidat-uppsats, Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen

    Författare :Joel Lundqvist; [2019]
    Nyckelord :Meteorology; Artificial neural networks; Bayesian neural networks; Forecast uncertainty; Physics and Astronomy;

    Sammanfattning : This thesis describes attempts at estimating the uncertainty of the 2-metre temperature forecast error from a probabilistic point of view, utilizing Bayesian neural networks. Bayesian neural networks are a type of machine-learning algorithms used to find patterns in data and make probabilistic predictions. LÄS MER