Sökning: "Unsupervised learning"
Visar resultat 21 - 25 av 361 uppsatser innehållade orden Unsupervised learning.
21. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms
Master-uppsats, Linköpings universitet/EnergisystemSammanfattning : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. LÄS MER
22. Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this paper, we compare the performance of two methods to find the attempts at fraud from the data provided by Sinch (formerly CLX Communications, which is a telecommunications and cloud communications platform as a service (PaaS) company). We consider the problem as finding the anomaly in a time series signal, where we ignore the duration of a single call or other features and only care about the total volume of calls in a certain period. LÄS MER
23. Predicting room occupancy based on carbon dioxide concentration levels : And potential energy-saving use cases in HVAC (heating, ventilation and air conditioning) control systems.
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis aims to explore the possibilities of recording room occupancy based on measured CO2 (carbon dioxide) concentration levels, and potential energy-saving uses in HVAC (heating, ventilation and air conditioning) - control systems. Furthermore, this thesis specifically aims to use unsupervised machine learning methods, which removes the need for generating correct occupancy labels and training the models before deploying them. LÄS MER
24. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). LÄS MER
25. Evaluating clustering techniques in financial time series
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER