Results 211 to 220 of about 5,378,381 (364)
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
When Cubic is Not Isotropic: Phonon–Exciton Decoupling in CuInSnS4 Single Crystals
Advanced Optical Materials, EarlyView.A cubic CuInSnS4 crystal does not fully play by cubic rules. While phonons follow the average iso‐tropic lattice symmetry, the disorder‐localized excitons break away, showing strong, and reproduci‐ble polarization‐dependent emission. This work shows how intrinsic cation disorder can turn a mac‐roscopically cubic material into a source of hidden ...
Lara Kim Linke +11 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
SETJiP: Spatial and Extra Temporal Jigsaw Puzzles for Video Anomaly Detection. [PDF]
Sensors (Basel)Shen L, Matsukawa T, Suzuki E.
europepmc +1 more source
Anomaly Detection: Methods, Applications and Experimental Evaluation
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.
Anomaly-based multi-stage attack detection framework.
Pengpeng Jian (12356824) +3 more
core +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Progressive Spatiotemporal Graph Modeling for Spacecraft Anomaly Detection. [PDF]
Entropy (Basel)Chen Z, Li Z, Cao Y, Wang Y, Chang H.
europepmc +1 more source
Filtering and refinement: a two-stage approach for efficient and effective anomaly detection
, 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
ERK‐Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem Cells
Advanced Science, EarlyView.With a powerful combination of in vivo, ex vivo, and in vitro models, the authors highlight a novel FGF‐ERK signaling regulation of YAP at the S128 site in neural crest‐derived stem cells. This study opens exciting new directions in stem cell biology and craniofacial biology, paving the way for potential innovations in the treatment of craniofacial ...
Xiaolei Zhao +16 more
wiley +1 more source