Sökning: "Background Extraction"
Visar resultat 1 - 5 av 97 uppsatser innehållade orden Background Extraction.
1. Log Frequency Analysis for Anomaly Detection in Cloud Environments
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. LÄS MER
2. Expression of complement factor C1r and C1s in human gingival fibroblasts
Master-uppsats, Umeå universitet/Institutionen för odontologiSammanfattning : Background: Periodontitis is an inflammatory condition rendering in degradation of tooth supporting tissue. In the inflammatory process cytokines, amongst others TNF-a, IL-1b and IL-6 play an important role in regulating the immune response. LÄS MER
3. Real time Optical Character Recognition in steel bars using YOLOV5
Master-uppsats, Blekinge Tekniska HögskolaSammanfattning : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. LÄS MER
4. Cavity Beam Position Monitors State of the Art and Design Studies in the Context of the ILC Project
Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska HögskolaSammanfattning : The aim of this master thesis project is the study and evaluation of the design of cavity beam position monitors (BPM) for the International Linear Collider (ILC) project. The state-of-the-art of BPMs is investigated to determine the most appropriate existing BPM design for the requirements of the ILC. LÄS MER
5. Comparative Analysis of Machine Learning Algorithms for Biometric Iris Recognition Systems
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Biometric identification plays a crucial role in various industries such as retail, and banking. Among the different biometric traits, iris patterns have become a reliable means of identification due to their unique features. In our thesis, we focus on evaluating and comparing different machine learning algorithms for irisrecognition. LÄS MER