I live in New Jersey, one of the states that mandates inspection for all vehicles newer than 1995. My daily driver, a Jeep Cherokee, happens to be a 1996 model year with an OBD-II sensor, meaning I ...

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...

Abstract: Due to the compound spatio-temporal correlations in multi-sensor equipment signal data, extant Remaining Useful Life (RUL) prediction strategies commonly emphasize either temporal ...

train_acc = 0.60 + 0.36 * (1 - np.exp(-epochs/4)) + np.random.normal(0, 0.005, 20) val_acc = 0.58 + 0.34 * (1 - np.exp(-epochs/4.5)) + np.random.normal(0, 0.008, 20 ...

\contentsline {subsection}{\numberline {6.3}Distributed Kalman filtering lineage}{16}{subsection.6.3}% \contentsline {subsection}{\numberline {6.4}Sign-of-innovations ...

Schematic showing the materials used in the sensor and the sensing array on a robotic manipulator. Figure from Multiscale-structured miniaturized 3D force sensors. Reproduced under a CC BY 4.0 licence ...

Ultra-sensitive graphene sensors capable of detecting disease biomarkers at extremely low concentrations could soon enable rapid medical tests, scientists said on the final day of the GraphIN 2026 ...

Ultra-sensitive graphene sensors are set to revolutionise medical diagnostics by enabling rapid and accurate detection of disease biomarkers at extremely low concentrations, potentially transforming ...

Accurately measuring small shifts in biological markers, like proteins and neurotransmitters, or harmful chemicals in the water supply, can identify critical problems before they have a chance to ...

What does Graphene Manufacturing Group do? Graphene Manufacturing Group produces graphene from natural gas and applies it to commercial products that improve efficiency, reduce emissions and ...