Sökning: "self-organizing maps"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden self-organizing maps.
1. Geophysical Data from Norrbotten, Sweden - Evidence for the Presence of a Crustal Scale Fault?
Master-uppsats, Luleå tekniska universitet/Geovetenskap och miljöteknikSammanfattning : 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. LÄS MER
2. A Smart Surveillance System Using Edge-Devices for Wildlife Preservation in Animal Sanctuaries
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : 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. LÄS MER
3. Presence detection by means of RF waveform classification
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : 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. LÄS MER
4. Diagnosis of Synoptic Weather Patterns Causing Heavy Rainfall Occurrence Using Self-Organizing Maps
Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresursläraSammanfattning : 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. LÄS MER
5. Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER