Essays about: "Väderprognos"

Showing result 1 - 5 of 10 essays containing the word 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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

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

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Clémentine Gas; [2019]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionen

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

    Abstract : 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. READ MORE

  6. 5. Reduction of Temperature Forecast Errors with Deep Neural Networks

    University essay from Uppsala universitet/Luft-, vatten- och landskapslära

    Author : Robin Isaksson; [2018]
    Keywords : numerical weather prediction; deep neural networks; machine learning; systematic forecast errors; numerisk väderprognos; djupa neuronnätverk; maskinlärning; systematiska prognosfel;

    Abstract : Deep artificial neural networks is a type of machine learning which can be used to find and utilize patterns in data. One of their many applications is as method for regression analysis. READ MORE