Sökning: "Helle Eng"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden Helle Eng.
1. Interweaving AutoML and Data Science Method
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The advent of automated machine learning (AutoML) tools promises to democratize machine learning to non-experts in the field. These tools certainly effect the process of applying machine learning for non-experts, but it is not clear how data scientists will be able to draw benefit from having access to automated machine learning systems. LÄS MER
2. Finding well-being between heartbeats : An empirical study correlating subjective well-being with high frequency heart rate variability
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Physical health can be measured in several ways both based on subjective experiences and with objective tools. However, mental health can only be measured through subjective experiences and sensations, which can be biased. LÄS MER
3. Improving armed conflict prediction using machine learning : ViEWS+
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Our project, ViEWS+, expands the software functionality of the Violence EarlyWarning System (ViEWS). ViEWS aims to predict the probabilities of armed conflicts in the next 36 months using machine learning. Governments and policy-makers may use conflict predictions to decide where to deliver aid and resources, potentially saving lives. LÄS MER
4. Mobility, habitat selection and population connectivity of Lycaena helle in central Sweden : implications for conservation
Master-uppsats, SLU/Dept. of EcologySammanfattning : Lycaena helle is an endangered butterfly that is mainly threatened by habitat degradation and fragmentation. For all species with a fragmented distribution, knowledge about mobility, habitat requirements and connectivity is key to developing successful conservation strategies. LÄS MER
5. Non-Invasive Liquid Metering Method Analysis
Master-uppsats, KTH/MekatronikSammanfattning : The ability to measure flow in pipes often introduces expensive and difficult installations due to existing flow-meters being invasive. To solve this a non-invasive solution has been found by testing and evaluating different mechanical and electrical methods using ultrasonic piezo-crystals and time-of-flight calculations. LÄS MER