Essays about: "Anomalidetektering"

Showing result 11 - 15 of 29 essays containing the word Anomalidetektering.

1. 11. Coronary Artery Plaque Segmentation with CTA Images Based on Deep Learning

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

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

   Abstract : 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. READ MORE

3. 12. Machine learning for usability : A case study of mobile application design for Nokia

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

   Author : Shanshan Hou; [2021]
   Keywords : 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.;

   Abstract : 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. READ MORE

4. 13. A Review of Anomaly Detection Techniques forHeterogeneous Datasets

   University essay from KTH/Optimeringslära och systemteori

   Author : Shirwan Piroti; [2021]
   Keywords : Anomaly Detection; Heterogeneous; GAN; BiGAN; Autoencoder; Random Forest; Isolation Forest; Anomalidetektering; Heterogen; GAN; BiGAN; Autoencoder; Random Forest; Isolation Forest;

   Abstract : Anomaly detection is a field of study that is closely associated with machine learning and it is the process of finding irregularities in datasets. Developing and maintaining multiple machine learning models for anomaly detection takes time and can be an expensive task. One proposed solution is to combine all datasets and create a single model. READ MORE

5. 14. 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

6. 15. Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis

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

   Author : Jing Li; [2021]
   Keywords : Fourier Transform; Wavelet Transform; EEG and ECG Anomaly Detection; Approximate Entropy; Hellinger Distance; Long Short- Term Memory; Fourier Transform; Wavelet Transform; EEG och ECG Anomalidetektion; Approximativ Entropi; Hellinger Distans; Lång Korttidsminne;

   Abstract : Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. READ MORE