Essays about: "Self-Organizing Maps"

Showing result 1 - 5 of 28 essays containing the words Self-Organizing Maps.

  1. 1. Geophysical Data from Norrbotten, Sweden - Evidence for the Presence of a Crustal Scale Fault?

    University essay from Luleå tekniska universitet/Geovetenskap och miljöteknik

    Author : Jimmy Markström; [2022]
    Keywords : Self-Organizing Maps; Magnetic Anomaly; Radioisotopes; Geological Faults;

    Abstract : The method of combining multiple geophysical, geological, or geochemical datasets can reveal patterns of otherwise hidden features in the Earth’s crust. This may aid in geological mapping, locating economic mineral deposits and for general anomaly/feature detection. READ MORE

  2. 2. A Smart Surveillance System Using Edge-Devices for Wildlife Preservation in Animal Sanctuaries

    University essay from Linköpings universitet/Reglerteknik

    Author : Johan Linder; Oscar Olsson; [2022]
    Keywords : Computer Vision; Edge devices; object detection; animal detection; animal preservation; microcontroller; camera trap; deep learning; esp32; transfer learning; smart surveillance system;

    Abstract : The Internet of Things is a constantly developing field. With advancements of algorithms for object detection and classification for images and videos, the possibilities of what can be made with small and cost efficient edge-devices are increasing. READ MORE

  3. 3. Presence detection by means of RF waveform classification

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Max Lengdell; [2022]
    Keywords : presence detection; machine learning; radio wave classification; unsupervised learning; supervised learning; sensor fusion; unsupervised classification;

    Abstract : This master thesis investigates the possibility to automatically label and classify radio waves for presence detection, where the objective is to obtain information about the number of people in a room based on channel estimates. Labeling data for machine learning is time consuming and tedious process. To address this two approaches are evaluated. READ MORE

  4. 4. Diagnosis of Synoptic Weather Patterns Causing Heavy Rainfall Occurrence Using Self-Organizing Maps

    University essay from Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Author : Aoi Kasai; [2021]
    Keywords : Self-Organizing Map; heavy rainfall frequency; classification; meteorological fields; prediction; heavy rainfall risk; Technology and Engineering;

    Abstract : The annual number of events with precipitation over 50 mm/h have increased from 1970s and this trend is likely to be continued due to climate change in Kyushu, Japan. Therefore, it is important to recognize what kind of meteorological fields have contributed to the occurrence of heavy rainfall events and to reveal whether it is possible to diagnose heavy rainfall risk. READ MORE

  5. 5. Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach

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

    Author : Povel Forsare Källman; [2021]
    Keywords : Anomaly Detection; Root Cause Analysis; Cluster Analysis; k- means; Self- Organizing Map; Gaussian Mixture Model; Dimensionality Reduction; Principal Component Analysis; Hybrid Fiber- Coaxial Network.; Anomalidetektering; Rotfelsanalys; Klusteranalys; k- means; Self- Organizing Map; Gaussian Mixture Model; Dimensionsreducering; Principal Component Analysis; Hybrid Fiber Coax- nät.;

    Abstract : Following the significant transition from the traditional production industry to an informationbased economy, the telecommunications industry was faced with an explosion of innovation, resulting in a continuous change in user behaviour. The industry has made efforts to adapt to a more datadriven future, which has given rise to larger and more complex systems. READ MORE