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Visar resultat 1 - 5 av 28 uppsatser som matchar ovanstående sökkriterier.
1. Handelsstrategier baserade på glidande medelvärden : En studie i marknadens effektivitet
Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : Att finna den mest effektiva strategin för att maximera sin avkastning på aktiemarknaden har varit en fråga som har intresserat investerare i hundratals år. Denna studie avser att undersöka vilken av investeringsstrategierna, Gyllene korset eller Buy and hold som är mest lönsam under perioden 2004 - 2022 på Stockholmsbörsen för att dra slutsatser om marknadens effektivitet. LÄS MER
2. Anomaly Detection in Riding Behaviours : Using Unsupervised Machine Learning Methods on Time Series Data from Micromobility Services
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The global micromobility market is a fast growing market valued at USD 40.19 Billion in 2020. As the market grows, it is of great importance for companies to gain market shares in order to stay competitive and be the first choice within micromobility services. This can be achieved by, e. LÄS MER
3. Exploring Demand Forecasting Strategy in Young Fast-Growing Companies : A Case Study of Nudient
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The purpose of this study is to provide the case company Nudient with a recommendation of what demand forecasting methods and strategies they should use. To be able to make a tailored recommendation, a literature study is conducted to explore what demand forecasting methods are commonly used on applications similar to the case being studied. LÄS MER
4. Jet Printing Quality ImprovementThrough Anomaly Detection UsingMachine Learning
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This case study examined emitted sound and actuated piezoelectric current in a solderpaste jet printing machine to conclude whether quality degradation could be detected with an autoencoder machine learning model. An autoencoder was used to detect anomalies in non-realtime that were defined asa diameter drift with an averaging window from a target diameter. LÄS MER
5. Skeleton Tracking for Sports Using LiDAR Depth Camera
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. LÄS MER