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Ceramic‐based dielectric metamaterials
Dielectric metamaterials based on ceramics have attracted considerable interest in the past
few years owing to their low dielectric loss, simple structure, excellent multifield tunability …
few years owing to their low dielectric loss, simple structure, excellent multifield tunability …
[HTML][HTML] Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Pipelines are vital for transporting oil and gas, but leaks can have serious consequences
such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline …
such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline …
Dcdetector: Dual attention contrastive representation learning for time series anomaly detection
Time series anomaly detection is critical for a wide range of applications. It aims to identify
deviant samples from the normal sample distribution in time series. The most fundamental …
deviant samples from the normal sample distribution in time series. The most fundamental …
Distributed optical fiber intrusion detection by image encoding and SwinT in multi-interference environment of long-distance pipeline
External intrusion incidents pose a severe threat to pipeline security in energy
transportation. In response to this, distributed optical fiber sensing technology has been …
transportation. In response to this, distributed optical fiber sensing technology has been …
A comprehensive bibliometric analysis of signal processing and pattern recognition based on distributed optical fiber
To better grasp the latest research on distributed optical fiber sensing (DOFS), this paper
has screened 861 relevant scientific articles from Web of Science Core Collection database …
has screened 861 relevant scientific articles from Web of Science Core Collection database …
[HTML][HTML] A novel modeling strategy for the prediction on the concentration of H2 and CH4 in raw coke oven gas
The composition of raw coke oven gas, mainly consisting of H 2 and CH 4, has a significant
impact on its utilization in the industry. To better utilize this product, a novel modeling …
impact on its utilization in the industry. To better utilize this product, a novel modeling …
Supercritical water gasification thermodynamic study and hybrid modeling of machine learning with the ideal gas model: Application to gasification of microalgae …
This study presents a hybrid modeling approach that combines a simplified
phenomenological model with machine learning techniques for predicting variables in the …
phenomenological model with machine learning techniques for predicting variables in the …
Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing
Ensuring the safe transportation of energy relies heavily on the timely safety inspection and
pigging of energy pipelines using in-pipe inspection robots known as Smart/Intelligent PIGs …
pigging of energy pipelines using in-pipe inspection robots known as Smart/Intelligent PIGs …
Large dynamic range and anti-fading phase-sensitive OTDR using 2-D phase unwrap** via neural network
Optical fiber distributed acoustic sensing (DAS) instrument enables distributed acoustic
measurements, garnering significant attention due to its high sensitivity, superior spatial …
measurements, garnering significant attention due to its high sensitivity, superior spatial …
Two-stage intrusion events recognition for vibration signals from distributed optical fiber sensors
Smart pipeline systems (SPSs) based on phase-sensitive optical time-domain reflectometry (-
OTDR) distributed optical fiber sensors (DOFSs) are widely used to recognize and locate …
OTDR) distributed optical fiber sensors (DOFSs) are widely used to recognize and locate …