Results 91 to 100 of about 161,068 (368)
Rating the Significance of Detected Network Events [PDF]
, 2014 Existing anomaly detection systems do not reliably produce accurate severity ratings for detected network events, which results in network operators wasting a large amount of time and effort in investigating false alarms.
Mungro, Meenakshee
core
Statistical Anomaly Detection for Train Fleets [PDF]
, 2012 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
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Neural Processing LettersAbstract Creating high-quality datasets for the task of video anomaly detection is challenging due to a subjective anomaly definition and the rarity of anomalies, which oust the possibility of obtaining statistically significant data. This results in datasets where anomalies are placed in a single category, and are often considered less ...
Jacob V. Dueholm +4 more
openaire +2 more sources
Counterexample Explanation by Anomaly Detection [PDF]
, 2012 Since counterexamples generated by model checking tools are only symptoms of faults in the model, a significant amount of manual work is required in order to locate the fault that is the root cause for the presence of counterexamples in the model. In this paper, we propose an automated method for explaining counterexamples that are symptoms of the ...
Leue, Stefan, Tabaei Befrouei, Mitra
openaire +2 more sources
Fault detection for binary sensors in smart home environments [PDF]
, 2015 Experiments in assisted living confirm that such systems can provide context-aware services that enable occupants to remain active and independent. They also demonstrate that abnormal sensor events hamper the correct identification of critical (and ...
Ye, Juan +5 more
core +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy
Advanced Engineering Materials, EarlyView.A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang +10 more
wiley +1 more source
Research on the Combined Detection of Magnetic Anomaly and Shaft‐Rate Magnetic Field Signals
IET Radar, Sonar & NavigationDue 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
Remote SensingOne 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