Sökning: "Machine drivers"
Visar resultat 1 - 5 av 114 uppsatser innehållade orden Machine drivers.
1. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. LÄS MER
2. Drivers of sea level variability using neural networks
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER
3. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER
4. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. LÄS MER
5. A Dual-Lens Approach to Loss Given Default Estimation: Traditional Methods and Variable Analysis
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This report seeks to thoroughly examine different approaches to estimating Loss Given Default through a comparison of traditional estimation methods, as well as a deeper variable analysis on micro, small, and medium-sized companies using primarily regression decision trees. The comparative study concluded that estimating loss given default depends heavily on business-specific factors and data variety. LÄS MER