Sökning: "Surface anomaly detection"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Surface anomaly detection.
1. BERT Language Modelling on Network Log Data for Generalized Unsupervised Intrusion Detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Intrusion detection is the most prominent topic of modern computer network security. The potential attack surface is growing exponentially every year. To cope with the amounts of data which accrue, automated methods for detecting undesired network activity are the only feasible solution. LÄS MER
2. Application of Deep-learning Method to Surface Anomaly Detection
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : In traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. LÄS MER
3. Learning from 3D generated synthetic data for unsupervised anomaly detection
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktionSammanfattning : Modern machine learning methods, utilising neural networks, require a lot of training data. Data gathering and preparation has thus become a major bottleneck in the machine learning pipeline and researchers often use large public datasets to conduct their research (such as the ImageNet [1] or MNIST [2] datasets). LÄS MER
4. Unsupervised anomaly detection for structured data - Finding similarities between retail products
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Data is one of the most contributing factors for modern business operations. Having bad data could therefore lead to tremendous losses, both financially and for customer experience. LÄS MER
5. Image-based anomaly detection using β -Variational Autoencoder for surface vehicle collision avoidance
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Unmanned vehicles need robust systems to ensure the safety of the vehicle and its environment. Being able to find and avoid perilous situations is paramount to such a system. LÄS MER