Results 51 to 60 of about 108,365 (267)

Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction

open access: yesIEEE Access
Hyperspectral anomaly detection is a detection of abnormal targets in a region based on spectral and spatial information under the premise of no prior knowledge of the target, which is a very important research topic in the field of remote sensing.
Jiao Jiao, Longlong Xiao, Chonglei Wang
doaj   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

open access: yesAdvanced Functional Materials, EarlyView.
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

Enzyme‐Regulated Extended Swelling of Hydrogels for Dehiscence‐Less Tissue Expansions

open access: yesAdvanced Functional Materials, EarlyView.
An interpenetrating hydrogel network with swelling under regulation by enzymatic degradation (INSURED) is fabricated to avoid dehiscence. INSURED remains structurally intact post‐implantation, while HYAL injection enables control over the onset and rate of swelling.
Byung Ik Park   +10 more
wiley   +1 more source

JointNet: Multitask Learning Framework for Denoising and Detecting Anomalies in Hyperspectral Remote Sensing

open access: yesRemote Sensing
One 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

syslrn: Learning What to Monitor for Efficient Anomaly Detection [PDF]

open access: green, 2022
Davide Sanvito   +4 more
openalex   +1 more source

Large Anomalous and Topological Hall Effect and Nernst Effect in a Dirac Kagome Magnet Fe3Ge

open access: yesAdvanced Functional Materials, EarlyView.
Fe3Ge, a Kagome‐lattice magnet, exhibits remarkable anomalous Hall and Nernst effects, with transverse thermoelectric conductivity surpassing or comaprable to some well‐known ferromagnets. First‐principles calculations attribute these to Berry curvature from massive Dirac gaps. Additionally, topological Hall and Nernst signals emerge from field‐induced
Chunqiang Xu   +11 more
wiley   +1 more source

SNAP Framework: Linked Prediction Based Anomaly Prevention With Suspicious Nodes on Social Network Graph [PDF]

open access: yesJournal of Universal Computer Science
In 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

Time Series Anomaly Detection for Smart Grids: A Survey [PDF]

open access: green, 2021
Jiuqi Elise Zhang, Di Wu, Benoît Boulet
openalex   +1 more source

Direct Evidence of Topological Dirac Fermions in a Low Carrier Density Correlated 5d Oxide

open access: yesAdvanced Functional Materials, EarlyView.
The 5d oxide BiRe2O6 is discovered as a low‐carrier‐density topological semimetal hosting symmetry‐protected Dirac fermions stabilized by nonsymmorphic symmetries. Angle‐resolved photoemission spectroscopy, quantum oscillations, and magnetotransport measurements reveal gapless Dirac cones, quasi‐2D Fermi surfaces, high carrier mobility, and a field ...
Premakumar Yanda   +11 more
wiley   +1 more source

Research on the Combined Detection of Magnetic Anomaly and Shaft‐Rate Magnetic Field Signals

open access: yesIET Radar, Sonar & Navigation
Due 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

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