Results 91 to 100 of about 352,249 (316)
LA-EAD: Simple and Effective Methods for Improving Logical Anomaly Detection Capability
In the field of intelligent manufacturing, image anomaly detection plays a pivotal role in automated product quality inspection. Most existing anomaly detection methods are adept at capturing local features of images, achieving high detection accuracy ...
Zhixing Li +4 more
doaj +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale
In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection.
Andras Horvath +8 more
doaj +1 more source
Retraction: An Adaptive BWO Algorithm with RSA for Anomaly Detection in VANETs [PDF]
Y. Sarada Devi, M Roopa
openalex +1 more source
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection
Quality inspection is an industrial field with a growing interest in anomaly detection research. An anomaly in an image can either be structural or logical.
Firas Zoghlami +4 more
doaj +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Review of: "A simple method for unsupervised anomaly detection: An application to Web time series data" [PDF]
Pengfei Jia
openalex +1 more source
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden +11 more
wiley +1 more source
Anomaly detection in the dynamics of web and social networks [PDF]
Volodymyr Miz +3 more
openalex +1 more source

