Sökning: "data preprocessing"

Visar resultat 6 - 10 av 204 uppsatser innehållade orden data preprocessing.

1. 6. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Marie-Ange Stefanos; [2023]
   Nyckelord :Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

   Sammanfattning : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. LÄS MER

3. 7. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Martin Larsson; [2023]
   Nyckelord :Contraction Hierarchies; Customizable Contraction Hierarchies; Vehicle Routing Problem; Battery Electric Vehicles; Mixed Fleet; Kontraktionshierarkier; Anpassningsbara Kontraktionshierarkier; Ruttplanering; Batteridrivna elfordon; Blandad fordonsflotta;

   Sammanfattning : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. LÄS MER

4. 8. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Love Marcus; [2023]
   Nyckelord :User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

   Sammanfattning : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. LÄS MER

5. 9. The Application of Multivariate Statistical Process Control during Industrial Hot Isostatic Pressing Sintering Processes : A Case study at Seco Tools AB

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

   Författare :Karl Ericsson; [2023]
   Nyckelord :Multivariate statistical process control; Batch processes; Quality prediction;

   Sammanfattning : This Master's thesis focuses on improving the understanding and monitoring of the Hot Isostatic Pressing (HIP) sintering process used by Seco Tools AB to manufacture cemented carbides for cutting tools. While essential for producing cutting tools with superior hardness and toughness the HIP sintering process introduces a complex relationship between the selected process parameters and the achieved materials properties. LÄS MER

7. 10. Bullying Detection through Graph Machine Learning : Applying Neo4j’s Unsupervised Graph Learning Techniques to the Friends Dataset

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Olof Enström; Christoffer Eid; [2023]
   Nyckelord :Bullying; Graph Machine Learning; Community Detection; Neo4j; Data Preprocessing; Similarity Algorithms; Friends; Neo4j; Unsupervised Learning; Anti-bullying;

   Sammanfattning : In recent years, the pervasive issue of bullying, particularly in academic institutions, has witnessed a surge in attention. This report centers around the utilization of the Friends Dataset and Graph Machine Learning to detect possible instances of bullying in an educational setting. LÄS MER