Results 161 to 170 of about 352,249 (316)
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods. [PDF]
Arweiler J +7 more
europepmc +1 more source
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Unsupervised cross domain adaptive anomaly detection network for Internet of Things traffic. [PDF]
Yuan T, Zhai D, Li A.
europepmc +1 more source
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
An intelligent monitoring system for forecasting and anomaly detection in precision beekeeping. [PDF]
Huet JC, Bougueroua L, Metidji SA.
europepmc +1 more source
GCN-Transformer Autoencoder with Knowledge Distillation for Unsupervised Video Anomaly Detection
Mingchao Yan, Yonghua Xiong, Jinhua She
openalex +1 more source
Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke +3 more
wiley +1 more source
On the Context-Aware Anomaly Detection in Vehicular Networks [PDF]
Mohammed Aljaafari
openalex +1 more source
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source

