Sökning: "clustering"

Visar resultat 1 - 5 av 971 uppsatser innehållade ordet clustering.

1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

   Master-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
   Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

   Sammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER

3. 2. The Sound of Skepticism Analyzing Climate Change Denial in Swedish Podcasts and YouTube Channels

   Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

   Författare :Victoria Vallström; [2024-02-14]
   Nyckelord :denialism; climate skepticism; social movements; countermovements; digital media; digital data; computational grounded theory; topic modeling; computational text analysis;

   Sammanfattning : This study explores Sweden's climate change denial by analyzing the spoken-word discourse of its countermovement, focusing on digital media content from Swedish parliament member Elsa Widding with an aim to provide empirical insights into the discourse of Sweden's Climate Change Countermovement (CCCM). Questions guiding this study are: What are the most prevalent topics and themes related to climate change denial and skepticism? How do they align with established categories of climate change denial, shaping the overall narrative? What mobilizing ideas and meanings are present, how are they shaped, and how do they contribute to the movement's goals? The material consists of Elsa Widding's complete audio-based "movement texts'' from 2019-2023, including YouTube content, podcasts, and appearances on Riks, totaling over 2000 minutes of audio transcribed into text via AI technology. LÄS MER

4. 3. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Sacko Balbas; Arvid Törnquist; [2024]
   Nyckelord :Cluster analysis; hierarchical clustering; k-means clustering; La Liga; football; algorithm; machine learning.;

   Sammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER

5. 4. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

   Master-uppsats, Högskolan i Gävle/Elektronik

   Författare :Pradip Nath; [2024]
   Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

   Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

7. 5. Undersökning av metoder för automatiserad kontinuerlig datautvinning av IoT-data för att utvinna funktioner

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Erik Järte; [2024]
   Nyckelord :IoT; user data; machine learning; visualization; data analysis; IoT; användardata; maskininlärning; visualisering; dataanalys;

   Sammanfattning : Företaget Cake har idag inte en komplett bild över hur dess fordon används. Därför samlar företaget idag upp användardata i en förhoppning om att kunna analysera denna data för att få insikter över hur dess produkter används och vad de ska satsa på i framtiden. LÄS MER