Results 161 to 170 of about 2,967,782 (299)
Explainable anomaly detection for electric vehicles’ charging stations
reservedL’anomaly detection è il processo di identificazione di dati che si discostano sig- nificativamente da un comportamento ritenuto normale. Questa tesi esplora e analizza metodologie e tecniche per la rilevazione di anomalie, esaminandone dif ...
MAZZUCCO, ANDREA
core
Extrinsic Limitations of Stealthy Hyperuniform Devices
Stealthy hyperuniform devices exhibit a scattering‐free angular region whose extent follows a simple quenching equation. Experimental measurements confirm this prediction but reveal quenching efficiencies far below theoretical expectations. Multiple scattering and finite‐size effects are quantified, establishing realistic performance limits for ...
Yuhao Xu +5 more
wiley +1 more source
Anomaly detection method for business processes based on enhanced complex scenario logs. [PDF]
Song Y, Zhang R.
europepmc +1 more source
Ligand engineering enables precise control of emission in linear Cu(I) complexes by tuning donor–acceptor interactions between electron‐rich amines and π‐accepting mesoionic carbenes. Naphthyl‐substituted carbenes promote locally excited phosphorescence with vibronic structure, whereas electron‐rich amides combined with electron‐poor carbenes favor ...
Felix León +7 more
wiley +1 more source
Graph neural networks based log anomaly detection and explanation. [PDF]
Li Z, Shi J, van Leeuwen M.
europepmc +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
Hyperbolic adaptive spatial-aware multivariate time series anomaly detection. [PDF]
Han J +7 more
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Abnormal Discrepancy-Guided Knowledge Distillation for Image Anomaly Detection. [PDF]
Yu Z, Sun L, Wang K, Jin F.
europepmc +1 more source
An Immune Inspired Approach to Anomaly Detection [PDF]
The immune system provides a rich metaphor for computer security: anomaly detection that works in nature should work for machines. However, early artificial immune system approaches for computer security had only limited success.
Aickelin, Uwe, Twycross, Jamie
core

