Sökning: "nätverk modell"
Visar resultat 1 - 5 av 535 uppsatser innehållade orden nätverk modell.
1. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER
2. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. LÄS MER
3. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER
4. DNS-Tunnel och Försvarsmakten : Hur funkar det och vad innebär det?
Uppsats för yrkesexamina på grundnivå, FörsvarshögskolanSammanfattning : Det säkerhetspolitiska läget i norra europa har stadigt försämrats sedan den ryska occupationen av Krim år 2014. Som ett resultat av detta ökar cyberattacker mot Sverige och resterande EU både i omfattning och frekvens. LÄS MER
5. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER