Essays about: "tree improvement"
Showing result 1 - 5 of 65 essays containing the words tree improvement.
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1. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. READ MORE
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2. Using search based methods for beamforming
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. READ MORE
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3. Skapandet av högstubbar : en undersökning av skördarförares perspektiv och systemstöd inom Mellanskog
University essay from SLU/School for Forest ManagementAbstract : Mellanskog är en skogsägarförening som är verksam från Gotland till Härjedalen. Vid generell hänsyn i skogen lämnas död ved, bland annat i form av högstubbar. Högstubbar bidrar till viktiga livsmiljöer för många arter. READ MORE
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4. Growth and quality of silver birch with different improvement levels
University essay from SLU/Southern Swedish Forest Research CentreAbstract : Silver birch is the most important broadleaf tree species in the context of wood production in Fennoscandia stating 12.9% of the total volume in Sweden (Nilsson et al., 2021). READ MORE
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5. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : 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