Results 121 to 130 of about 2,967,782 (299)
Advanced Healthcare Materials, EarlyView.Hydrophilic fluorinated copolymers dissolve in chyme and give a strong, single 19F signal, unlike phase‐separating perfluorocarbons. Combined 1H‐19F MRI tracks their whole‐gut transit non‐invasively and without ionizing radiation. In rats, the tracers move through the gastrointestinal tract, resist resorption, and are well tolerated, a proof‐of‐concept
Ondřej Groborz +13 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 +1 more source
Limits to the Hall Effect and Other Nonreciprocal Effects in Three‐Dimensional Metamaterials
Advanced Materials, EarlyView.Comprehensive and fundamental bounds on nonreciprocal effects in three‐dimensional metamaterials are derived. They reveal that the effective Hall mobility cannot exceed the largest constituent mobility, that, under certain conditions, the Verdet constant cannot be enhanced, and that, for constituents with Hall coefficients of the same sign, the largest
Christian Kern, Graeme W. Milton
wiley +1 more source
Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses
Advanced Materials, EarlyView.Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami +15 more
wiley +1 more source
Anomaly detection of multivariate time series for industrial machinery [PDF]
openIn industrial contexts, anomaly detection is crucial for identifying deviations from normal operating conditions, ensuring proactive maintenance, minimising downtime, and optimising the reliability and efficiency of industrial processes.
BEE, NICOLA
core
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
Measuring the Hall Effect in Hysteretic Materials
Advanced Materials, EarlyView.The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Enhancing Anomaly Detection: Integrating Human Feedback Through Active Learning
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
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
Multi-Task Network Anomaly Detection using Federated Learning
, 2019 Because of the complexity of network traffic, there are various significant challenges in the network anomaly detection fields. One of the major challenges is the lack of labeled training data.
Jian Teng +9 more
core +1 more source