Results 101 to 110 of about 161,068 (368)
Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection [PDF]
, 2012 Detecting targets with unknown spectral signatures in hyperspectral imagery has been proven to be a topic of great interest in several applications. Because no knowledge about the targets of interest is assumed, this task is performed by searching the ...
VERACINI, TIZIANA
core
Statistical and fuzzy approach for database security [PDF]
, 2007 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
Advanced Engineering Materials, EarlyView.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
Transfer learning applications for anomaly detection in wind turbines [PDF]
Anomaly detection in wind turbines typically involves using normal behaviour models to detect faults early. However, training autoencoder models for each turbine is time-consuming and resource intensive. Thus, transfer learning becomes essential for wind
Roelofs, Cyriana Maria Antonia +3 more
core +2 more sources
Machine Learning-based Anomaly Detection for Hydroelectric Power Plants [PDF]
, 2022 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
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
SNAP Framework: Linked Prediction Based Anomaly Prevention With Suspicious Nodes on Social Network Graph [PDF]
Journal of Universal Computer ScienceIn 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
Advanced Engineering Materials, EarlyView.In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti +4 more
wiley +1 more source
Enhancing Anomaly Detection: Integrating Human Feedback Through Active Learning [PDF]
reservedIn the realm of data-intensive fields, obtaining accurate labels becomes increasingly challenging, particularly in Anomaly Detection, where anomalies are context-dependent and difficult to define.
BAZ RADWAN, FAIROUZ
core
Advanced Engineering Materials, EarlyView.Deep‐UV (258 nm) femtosecond pulses enable uniform amorphous silicon writing on Si(100)/(111) with a six‐fold larger fluence amorphization window than NIR methods. Optimized fluence and overlap yield 20–45 nm uniform and continuous amorphous layers. Microscopy shows sharp interfaces, and real‐time reflectivity reveals nanosecond melt–resolidification ...
Wissal Benali +5 more
wiley +1 more source