Sökning: "performance anomalies"

Visar resultat 11 - 15 av 121 uppsatser innehållade orden performance anomalies.

1. 11. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

   Författare :Shuai Shao; [2023]
   Nyckelord :EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

   Sammanfattning : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. LÄS MER

3. 12. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Christoffer Gärdin; [2023]
   Nyckelord :Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

   Sammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER

4. 13. Time Series Anomaly Detection in Radio Test

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Yu Zhu; [2023]
   Nyckelord :;

   Sammanfattning : Production tests evaluate products with automated systems enabling swift data collection, while anomaly detection in the gathered data is widely employed in industries for damage prediction and issue prevention. Ericsson, a leader in the telecommunications industry, has a Temperature Quality Test (TQT) platform which involves precise performance measurements on radios, gathering abundant data in both single value and time series formats to evaluate and improve tested products. LÄS MER

5. 14. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?

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

   Författare :Lina Shrebati; [2023]
   Nyckelord :Time Series; Forecasting; COVID-19; Data processing; Optimal transport; Tidsserier; Prognoser; COVID-19; Databehandling; Optimal transport;

   Sammanfattning : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. LÄS MER

7. 15. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

   Master-uppsats, Blekinge Tekniska Högskola

   Författare :Simron Padhi; Devi Priya Battina; [2023]
   Nyckelord :Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

   Sammanfattning : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. LÄS MER