Results 1 to 10 of about 109,015 (219)
Statistical Anomaly Detection for Train Fleets [PDF]
We have developed a method for statistical anomaly detection which has been deployed in a tool for condition monitoring of train fleets. The tool is currently used by several railway operators over the world to inspect and visualize the occurrence of ...
Larsen, Stefan +17 more
core +1 more source
Anomaly detection in surveillance videos
The main task of this thesis is to review anomaly detection methods and then demonstrate the use of a state of the art approach to detect nudity as an anomaly in a surveillance video. The following contributions were made.
Aggrey, Eric Majuk
core
Online anomaly detection with constant false alarm rate
We propose a computationally highly scalable online anomaly detection algorithm for time series, which achieves - with no parameter tuning- a specified false alarm rate while minimizing the miss rate.
Ibrahim Delibalta +7 more
core +1 more source
One of the significant challenges with traditional single-task learning-based anomaly detection using noisy hyperspectral images (HSIs) is the loss of anomaly targets during denoising, especially when the noise and anomaly targets are similar. This issue
Yingzhao Shao +5 more
doaj +1 more source
Statistical and fuzzy approach for database security [PDF]
A new type of database anomaly is described by addressing the concept of Cumulated Anomaly in this paper. Dubiety-Determining Model (DDM), which is a detection model basing on statistical and fuzzy set theories for Cumulated Anomaly, is proposed. DDM
Yi, J +5 more
core +1 more source
Research on the Combined Detection of Magnetic Anomaly and Shaft‐Rate Magnetic Field Signals
Due to the stable propagation of magnetic signals in ocean and air, magnetic detection technology has become an effective means for nonacoustic detection.
Honglei Wang +2 more
doaj +1 more source
Subspace discovery for video anomaly detection
PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
core
Machine Learning-based Anomaly Detection for Hydroelectric Power Plants [PDF]
openScopo - Questo lavoro analizza come il rilevamento delle anomalie possa essere efficacemente applicato alla manutenzione predittiva delle centrali idroelettriche e valuta gli effetti degli SHAP values nell’aiutare l’utente a comprendere le cause dell’
FANAN, MATTIA
core
Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation
Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high ...
Haiwoong Park, Hyeryung Jang
doaj +1 more source
SNAP Framework: Linked Prediction Based Anomaly Prevention With Suspicious Nodes on Social Network Graph [PDF]
In previous studies, the focus has predominantly been on anomaly detection, with minimal attention given to anomaly prevention. However, anomaly prevention holds greater significance than anomaly detection.
Vahide Nida Kılıç, Esra Saraç Eşsiz
doaj +3 more sources

