Essays about: "Förutspå"

Showing result 6 - 10 of 347 essays containing the word Förutspå.

  1. 6. Intrusion Detection in IT Infrastructures using Hidden Markov Models

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

    Author : Christopher Liu; Sabrina Al-Haddad; [2023]
    Keywords : ;

    Abstract : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. READ MORE

  3. 7. Ranging Error Correction in a Narrowband, Sub-GHz, RF Localization System

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

    Author : Silvia Barrett; [2023]
    Keywords : Localization; Narrowband; Sub-GHz; Radio Frequency; RSSI; Time-of-Flight; Error mitigation; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression; Loalisering; Narrowband; Sub-GHz; Radiofrekvens; RSSI; Time-of-Flight; Felkorrigering; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression;

    Abstract : Being able to keep track of ones assets is a very useful thing, from avoiding losing ones keys or phone to being able to find the needed equipment in a busy hospital or on a construction site. The area of localization is actively evolving to find the best ways to accurately track objects and devices in an energy efficient manner, at any range, and in any type of environment. READ MORE

  4. 8. Data Driven Modeling for Aerodynamic Coefficients

    University essay from KTH/Matematisk statistik

    Author : Erik Jonsäll; Emma Mattsson; [2023]
    Keywords : Master s thesis; System identification; Parameter estimation; Ordinary least squares; Machine learning; Aerodynamic coefficients; F18--HARV; Flight simulations.; Masteruppsats; Systemidentifiering; Parameteruppskattning; Minstakvadratmetoden; Maskininlärning; Aerodynamiska koefficienter; F18-HARV; Flygsimuleringar.;

    Abstract : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. READ MORE

  5. 9. Future climate suitability of shade trees in cocoa agroforestry systems in West Africa and shade tree diversity’s impact on farm microclimate : A Minor Field Study

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Jonna Halonen; [2023]
    Keywords : species distribution modeling; cocoa agroforestry; shade trees; West Africa; microclimate; distributionsmodell; kakaoskogslantbruk; skuggträd; Västafrika; mikroklimat;

    Abstract : Shade trees’ implementation into cocoa agroforestry systems in tropical West Africa has proven to have a high potential in increasing farm resilience and mitigating climate change. However, no studies have yet examined the potential future climate suitability for shade trees in the region, which is important when deciding which shade trees to implement. READ MORE

  6. 10. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing

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

    Author : August Thomasson; [2023]
    Keywords : visibility forecast; fog; machine learning; numerical weather predicition; XGBoost; Random Forest; siktprognos; dimma; maskininlärning; numerisk vädermodell; XGBoost; Random Forest;

    Abstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE