Sökning: "DBSCAN"

Visar resultat 1 - 5 av 27 uppsatser innehållade ordet DBSCAN.

  1. 1. Deinterleaving pulse trains with DBSCAN and FART

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Shad Mahmod; [2019]
    Nyckelord :DBSCAN; FART; Fuzzy; Adaptive; Resonance; Theory; Radar; Clustering; Deinterleaving; Machine Learning;

    Sammanfattning : Studying radar pulses and looking for certain patterns is critical in order to assess the threat level of the environment around an antenna. In order to study the electromagnetic pulses emitted from a certain radar, one must first register and identify these pulses. LÄS MER

  2. 2. Comparing performance of K-Means and DBSCAN on customer support queries

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

    Författare :Arne Morten Kästel; Christian Vestergaard; [2019]
    Nyckelord :Classification; Digital Transformation; Natural language processing; Short text clustering.; Digital transformation; Klassifikation; Klusteranalys; Språkteknologi.;

    Sammanfattning : In customer support, there are often a lot of repeat questions, and questions that does not need novel answers. In a quest to increase the productivity in the question answering task within any business, there is an apparent room for automatic answering to take on some of the workload of customer support functions. LÄS MER

  3. 3. LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Roy Andersson; Erik Andersson; [2019]
    Nyckelord :LiDAR; Machine Learning; Pedestrian Detection; Annotation; DBSCAN; SVM; Technology and Engineering;

    Sammanfattning : The goal of this Master's Thesis is to successfully detect and classify humans in a LiDAR data stream. The focus of the Thesis is on the detection and classification, not on the LiDAR technology. To classify humans machine learning was used and to train the machine learning model we collected our own data and annotated it. LÄS MER

  4. 4. Exploring unsupervised anomaly detection in Bill of Materials structures.

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Författare :Erik Lindgren; Niklas Allard; [2019]
    Nyckelord :;

    Sammanfattning : Siemens produce a variety of different products that provide innovative solutions within different areas such as electrification, automation and digitalization, some of which are turbine machines. During the process of creating or modifying a machine, it is vital that the documentation used as reference is trustworthy and complete. LÄS MER

  5. 5. Duplicate Detection and Text Classification on Simplified Technical English

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Max Lund; [2019]
    Nyckelord :NLP; CNL; transformer models; LSTM; BERT; document embeddings; word embeddings; text classification; text clustering; transfer learning; machine learning;

    Sammanfattning : This thesis investigates the most effective way of performing classification of text labels and clustering of duplicate texts in technical documentation written in Simplified Technical English. Pre-trained language models from transformers (BERT) were tested against traditional methods such as tf-idf with cosine similarity (kNN) and SVMs on the classification task. LÄS MER