Sökning: "anomaly-detection algorithm"

Visar resultat 16 - 20 av 72 uppsatser innehållade orden anomaly-detection algorithm.

1. 16. Real-time industrial systems anomaly detection with on-edge Tiny Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Anton Tiberg; [2022]
   Nyckelord :Machine learning; anomaly detection; outlier detection; real time; isolation forest; mondrian isolation forest; tiny machine learning; embedded; arduino; anomaly detection; outlier detection;

   Sammanfattning : Embedded system such as microcontrollers has become more powerful and cheaper during the past couple of years. This has led to more and more development of on-edge applications, one of which is anomaly detection using machine learning. LÄS MER

3. 17. Coronary Artery Plaque Segmentation with CTA Images Based on Deep Learning

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Zhang Shuli; [2022]
   Nyckelord :Coronary Plaque Segmentation; CTA image; nnU-Net; FCDD; Anomaly Detection; Koronarplacksegmentering; CTA-bild; nnU-Net; FCDD; Anomalidetektering;

   Sammanfattning : Atherosclerotic plaque is currently the leading cause of coronary artery disease (CAD). With the help of CT images, we can identify the size and type of plaque, which can help doctors make a correct diagnosis. To do this, we need to segment coronary plaques from CT images. LÄS MER

4. 18. Anomaly detection in 5G beam propagation

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Katarina Hellgren; Phiphi Tran; [2021]
   Nyckelord :Machine learning; wireless communication; 5G; beam propagation; DBSCAN; KNN; anomaly detection; clustering; Technology and Engineering;

   Sammanfattning : Advancements in today's technology has motivated invention of faster mobile communication systems. The fifth generation mobile network, 5G, is the latest version made by the third generation partnership project (3GPP) and expects to both increase connection speed and reduce latency, which eventually will make it applicable in supporting state-of-the art technologies such as virtual reality and self-driving vehicles among others. LÄS MER

5. 19. Anomaly Detection in District Heating using a Clustering based approach

   Magister-uppsats,

   Författare :Minh-Tung Nguyen; Metjan Baduni; [2021]
   Nyckelord :Anomaly Detection; Data Mining; Unsupervised Machine Learning; Clustering; DBSCAN; Time Series;

   Sammanfattning : The global demand for energy has increased in recent years. In Northern Europe and North America, centralized production and distribution of heat energy is commonly regarded as District Heating (DH). Efficient delivery of heat in the DH system is crucial not only for the building dwellers but even for companies that supply such energy. LÄS MER

7. 20. Machine learning for usability : A case study of mobile application design for Nokia

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

   Författare :Shanshan Hou; [2021]
   Nyckelord :Machine learning; user-centered design; anomaly detection; user experience; human-in-the-loop; information visualization; algorithm-friendly design; Maskininlärning; användarcentrerad design; anomalidetektering; användarupplevelse; människa i loopen; informationsvisualisering; algoritmvänlig design.;

   Sammanfattning : Nokia launched a website service Customer Insights (CI) to managers and executives from operator companies to track their customers’ experience. An upgraded mobile service is developed for providing more valuable information. The data was retrieved from the same dataset but less amount of information would be displayed in the mobile application. LÄS MER