Results 71 to 80 of about 4,358,705 (199)
Magnetic anomaly detection (MAD) is a passive technique for detecting ferromagnetic targets, but weak magnetic anomaly signals are often submerged in background noise.
Hexing Zheng +4 more
doaj +1 more source
Crystal orientation and domain engineering enable bulk mirror symmetry breaking in Bi1−xSbx, resulting in ultralow current‐induced switching of perpendicular magnetization without an external field. By exploiting single‐domain Bi1−xSbx (012), the authors demonstrate an out‐of‐plane spin Hall conductivity of ∼1.12×105ℏ2eΩ−1m−1$ \sim \!1.12 \ensuremath ...
Seungwon Rho +6 more
wiley +1 more source
Anomaly Detection Meta-Analysis Benchmarks
This article provides a thorough meta-analysis of the anomaly detection problem. To accomplish this we first identify approaches to benchmarking anomaly detection algorithms across the literature and produce a large corpus of anomaly detection benchmarks
Emmott, Andrew +4 more
core +6 more sources
Real-Time Localization of Magnetic Target Using Second-Order Scalar Magnetic Gradients
Magnetic anomaly generated by magnetic target is widely used in many areas. In this paper, a real-time magnetic target localization method based on second-order scalar magnetic gradients at the closest point of approach (CPA) is proposed.
Nan Li +4 more
doaj +1 more source
Moiré‐Induced Symmetry Breaking of Charge Order in van der Waals Heterostructures
A uniaxial moiré potential in misfit (MS)1+δTaS2 heterostructures selectively reshape charge order: the embedded 1H‐TaS2 layer hosts an incommensurate charge‐density wave, fragmented into nanometer domains and stripped of threefold symmetry. Superconductivity, however, remains uniform and fully gapped, revealing heterosymmetry stacking as a selective ...
Sandra Sajan +12 more
wiley +1 more source
Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. One approach is anomaly detection, where deviations from a model of normal network activity are reported.
Powers, Simon T., He, Jun
core +1 more source
Anti-collision detection technologies primarily rely on optical, radar, or laser sensors; however, their performance often deteriorates severely under adverse weather conditions (e.g., rain, snow, fog) or in scenarios involving visual occlusion.
Xuyi Miao +6 more
doaj +1 more source
Anomaly Detection: theoretical analysis and investigation on the Isolation Forest method
openQuesto lavoro di tesi si concentra sull’analisi teorica e l’implementazione pratica dell’ Anomaly detection, intesa come rilevamento di anomalie, tramite metodi di machine learning, per identificare eventi che risultano sospetti in relazione al ...
BRESSAN, ALBERTO
core
Cooperative Goniopolar and Anomalous Nernst Transverse Thermoelectricity in Kagome Magnets
A cooperative transverse thermoelectric mechanism is realized in kagome magnets, where axis‐dependent goniopolar effects and Berry curvature‐driven anomalous Nernst coexist within the same energy window. In MgMn6Sn6, this intrinsic synergy yields a record room‐temperature transverse thermopower of 15.6 µV K−1, establishing a general strategy for high ...
Honghui Wang +12 more
wiley +1 more source
Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures.
Ju Haihua +7 more
doaj +1 more source

