Essays about: "Unsupervised learning"

Showing result 21 - 25 of 349 essays containing the words Unsupervised learning.

1. 21. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms

   University essay from Linköpings universitet/Energisystem

   Author : Oliver Wallin; Johan Jigsved; [2023]
   Keywords : AI; K-means; clustering; ICT-centre; data centre; data center; ICT-center; cooling; data center cooling;

   Abstract : 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. READ MORE

3. 22. Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lingxiao Wang; [2023]
   Keywords : Fraud detection; Anomaly detection; Machine learning; Bedrägeriupptäckt; Anomalidetektering; Maskininlärning;

   Abstract : 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. READ MORE

4. 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.

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Elias Eliasson Schuhmacher; Markus Ledung; [2023]
   Keywords : ;

   Abstract : 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. READ MORE

5. 24. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gustaf Halvardsson; [2023]
   Keywords : Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

   Abstract : 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). READ MORE

6. 25. Evaluating clustering techniques in financial time series

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Johan Millberg; [2023]
   Keywords : clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

   Abstract : 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. READ MORE