Sökning: "indicator optimization"
Visar resultat 16 - 20 av 34 uppsatser innehållade orden indicator optimization.
16. Machine learning based call drop healing in 5G
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Self-Organizing Network (SON) functions include self-configuration, dynamic optimization and self-healing of networks. In the era of 5G, mobile operators are increasingly exploring areas of SON through Machine Learning (ML) techniques. LÄS MER
17. Sustainability effects of introducing legumes in traditional cropping systems : an experimental case study in Swedish context
Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of EconomicsSammanfattning : The agricultural sector of the world faces a growing food demand because of a growing world population. To support this growing demand, it could be necessary that agricultural production increases, this increase in production must be achieved sustainably. LÄS MER
18. Optimization of the operation and monitoring of large-scale photovoltaic power plant
Master-uppsats, KTH/EnergiteknikSammanfattning : The monitoring and supervision of large scale solar photovoltaic plants becomes more and more important nowadays, with the increase of the installed power. The detection system and the reactivity must be improved in order to allow the plants to run at their best capacity. LÄS MER
19. Optimering av käftkross för Kankbergsmalm
Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : Kankberg’s gold and tellurium ore has been shown to consist of more easily-ground ore and more hard-ground ore for the last decade. When the hard-ground ore enters the enrichment-plant so can the flow rate of the autogenous mill almost halved, from 110 ton/hour (easily-ground ore) compared to 60 ton/hour (hard-ground ore). LÄS MER
20. Object Detection in Infrared Images using Deep Convolutional Neural Networks
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : In the master thesis about object detection(OD) using deep convolutional neural network(DCNN), the area of OD is being tested when being applied to infrared images(IR). In this thesis the, goal is to use both long wave infrared(LWIR) images and short wave infrared(SWIR) images taken from an airplane in order to train a DCNN to detect runways, Precision Approach Path Indicator(PAPI) lights, and approaching lights. LÄS MER