Results 161 to 170 of about 161,068 (368)
pyCLAD: The universal framework for continual lifelong anomaly detection
SoftwareXAnomaly detection is a recognized problem with high significance and impact in many real-world settings. Continual anomaly detection is an emerging paradigm that allows for the design of anomaly detection methods capable of adapting to new challenges in ...
Kamil Faber +3 more
doaj +1 more source
Anomaly Detection for Industry 5.0: A Comparative Study of Supervised, Unsupervised, and Multimodal Approaches in Human-Centered Turning Processes [PDF]
reservedThis thesis investigates anomaly detection in industrial products, with a particular focus on the metal manufacturing sector. Using high resolution image data provided by Zannini S.p.A., we evaluate a wide spectrum of techniques, including ...
KARIMI, ARMIN
core
Advanced Materials, EarlyView.Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine +5 more
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
A Simple Anomaly Detection for Spectral Imagery Using Co-occurrence Statistics Techniques [PDF]
, 2012 Kitti Koonsanit +2 more
openalex +1 more source
Anomaly Detection: Methods, Applications and Experimental Evaluation [PDF]
openL'Anomaly Detection è un processo fondamentale nell'analisi dei dati, utile per distinguere comportamenti normali da errori, frodi o malfunzionamenti.
ANSALDO, GABRIELE
core
Anomaly-based multi-stage attack detection framework. [PDF]
Anomaly-based multi-stage attack detection framework.
Pengpeng Jian (12356824) +3 more
core +1 more source
Advanced Materials, EarlyView.We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang +20 more
wiley +1 more source
Filtering and refinement: a two-stage approach for efficient and effective anomaly detection [PDF]
, 2011 Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances.
Yu, Xiao
core
Gate‐Tunable Floquet Weyl Photon Emission from Topological Dirac Semimetal Cd3As2
Advanced Materials, EarlyView.We report experimental demonstration of Floquet band engineering in a 3D Dirac semimetal. Circularly polarized light breaks the time reversal symmetry and transforms Cd3As2 into a Floquet–Weyl phase, splitting Dirac nodes into chirality‐opposite Weyl nodes with nonzero Berry curvature.
Sobhan Subhra Mishra +4 more
wiley +1 more source