Sökning: "prediction"
Visar resultat 1 - 5 av 2126 uppsatser innehållade ordet prediction.
1. Remote Sensing Based Pre-Season Yellow Rust Early Warning in Oromia, Ethiopia
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Yellow rust (Puccinia striiformis f. sp. Tritici) is a crop disease caused by a fungus that regularly infects wheat and causes yield loss in Ethiopia. The disease has a significant impact on the country’s crop production, food security, health, and socioeconomic well-being. LÄS MER
2. In vitro performance prediction of LBFs using lipolysis-permeation assay with the LiDo artificial membrane: Validation and protocol optimization
Master-uppsats, Uppsala universitet/Institutionen för farmaciSammanfattning : Lipid-based formulations (LBFs) can be an effective formulation strategy to improve the bioavailability of lipophilic drugs. However, conventional single-compartment in vitro lipolysis assays often underestimate LBF performance in vivodue to the absence of absorption sink. LÄS MER
3. Uncertainity in Renewable Energy Time Series Prediction using Neural Networks
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : With the increasing demand for solar energy, the forecast of the PV station energy production has to be as precisely as possible. To make the prediction more robust, also correlated infor- mation about the weather can be added to the previous energy production of the PV station. LÄS MER
4. Considering future precipitation in delineation locations for water storage systems - Case study Sri Lanka
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Demand for the usable water is accumulating globally in parallel with the population growth and the industrial revolution. Nevertheless, availability and accessibility of the usable water is progressively subsiding due to many environmental and socio-economic reasons. LÄS MER
5. A deep learning approach for predicting outcomes of triple-negative breast cancer
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common cancer in women. Triple-negative breast cancer affects 10-20% of breast cancer patients and is associated with an especially bad prognosis. Today, tissue slides are assessed manually by a clinician to set a prognosis. However, the prediction of outcomes could possibly be improved using machine learning. LÄS MER
