Sökning: "DBSCAN"

Visar resultat 31 - 35 av 65 uppsatser innehållade ordet DBSCAN.

1. 31. Detection of Deviations in Beehives Based on Sound Analysis and Machine Learning

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

   Författare :Amer Hodzic; Danny Hoang; [2021]
   Nyckelord :unsupervised machine learning; clustering; DBSCAN; honeybees; beehives; sound analysis;

   Sammanfattning : Honeybees are an essential part of our ecosystem as they take care of most of the pollination in the world. They also produce honey, which is the main reason beekeeping was introduced in the first place. LÄS MER

3. 32. 3D Representation of EyeTracking Data : An Implementation in Automotive Perceived Quality Analysis

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

   Författare :Tianyou Li; [2021]
   Nyckelord :Eye Tracking; Perceived Quality; Human Car Interaction; Fixation Identification; Data Visualization; Prototyping; Virtual Reality; Aesthetic Design; Geometric Modelling.;

   Sammanfattning : The importance of perceived quality within the automotive industry has been rapidly increasing these years. Since judgmentsconcerning perceived quality is a highly subjective process, eye-tracking technology is one of the best approaches to extractcustomers’ subconscious visual activity during interaction with the product. LÄS MER

4. 33. Identifiering av områden med förhöjd olycksrisk för cyklister baserad på cykelhjälmsdata

   Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Johannes Roos; Sven Lindqvist; [2020]
   Nyckelord :Klustring; DBSCAN; clustering;

   Sammanfattning : Antalet cyklister i Sverige väntas öka under kommande år, men trots stora insatser för trafiksäkerheten minskar inte antalet allvarliga cykelolyckor i samma takt som bilolyckor. Denna studie har tittat på cykelhjälm-tillverkaren Hövdings data som samlats in från deras kunder. LÄS MER

5. 34. Simultaneous Classification of Sets of Images Using Deep Learning and Clustering

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Nellie Carleke; Hugo Sellerberg; [2020]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : Classification of cell images is conventionally done manually in hematology laboratories by medical technologists. CellaVision aims to automate this work in order to make the analysis process faster, better and more flexible. LÄS MER

7. 35. Anomaly Detection in Time Series Data using Unsupervised Machine Learning Methods: A Clustering-Based Approach

   Master-uppsats, KTH/Matematisk statistik

   Författare :Peter Hanna; Erik Swartling; [2020]
   Nyckelord :Anomaly detection; unsupervised machine learning; high frequency sampled; time series; clustering; dimensionality reduction; DBSCAN; LOF; Anomaly detection; unsupervised machine learning; high frequency sampled; time series; clustering; dimensionality reduction; DBSCAN; LOF;

   Sammanfattning : For many companies in the manufacturing industry, attempts to find damages in their products is a vital process, especially during the production phase. Since applying different machine learning techniques can further aid the process of damage identification, it becomes a popular choice among companies to make use of these methods to enhance the production process even further. LÄS MER