|
|
3. Application of Unsupervised Anomaly Detection techniques to Moisture Content data from wood constructionsÁlvaro García Faura, Dejan Štepec, Matija Cankar, Miha Humar, 2021, izvirni znanstveni članek Ključne besede: wood moisture monitoring, Unsupervised Anomaly Detection (UAD), Moisture Content (MC) data, wooden facade, wooden windows Celotno besedilo (datoteka, 2,13 MB) Gradivo ima več datotek! Več... |
4. AIS data vulnerability indicated by a spoofing case-studyAndrej Androjna, Marko Perkovič, Ivica Pavic, Jakša Mišković, 2021, izvirni znanstveni članek Ključne besede: Automatic Identification System, AIS, cybersecurity, anomaly detection, spoofing, maritime situational awareness, safety of navigation Celotno besedilo (datoteka, 14,08 MB) Gradivo ima več datotek! Več... |
5. Analysis of machine learning algorithms for anomaly detection on edge devicesAleks Huč, Jakob Šalej, Mira Trebar, 2021, izvirni znanstveni članek Ključne besede: machine learning, classification, edge computing, imbalanced dataset, training dataset, anomaly detection, clustering Celotno besedilo (datoteka, 10,89 MB) Gradivo ima več datotek! Več... |
6. Detecting temporal and spatial anomalies in users' activities for security provisioning in computer networksAleks Huč, 2022, doktorska disertacija Ključne besede: anomaly detection, incremental learning, unsupervised learning, clustering, adaptive windowing, profiling, network security, network flows Celotno besedilo (datoteka, 4,42 MB) |
7. Detecting surface anomalies with deep learningDomen Rački, 2022, doktorska disertacija Ključne besede: Surface defect detection, visual inspection, quality control, solid oral dosage forms, pharmaceutical industry, deep learning, segmentation, convolutional neural networks, visual anomaly detection Celotno besedilo (datoteka, 11,17 MB) |
|
|
|