Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
Artificial intelligence (AI), and especially its sub-field of Machine Learning (ML), are
impacting the daily lives of everyone with their ubiquitous applications. In recent years, AI …
impacting the daily lives of everyone with their ubiquitous applications. In recent years, AI …
A hybrid robust system considering outliers for electric load series forecasting
Electric load forecasting has become crucial to the safe operation of power grids and cost
reduction in the production of power. Although numerous electric load forecasting models …
reduction in the production of power. Although numerous electric load forecasting models …
One-dimensional W-NETR for non-invasive single channel fetal ECG extraction
M Almadani, L Hadjileontiadis… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Fetal cardiac monitoring is very helpful in the early detection of the potential risk of fetal
cardiac abnormalities, which enables prompt preventative care and ensures safe births. As a …
cardiac abnormalities, which enables prompt preventative care and ensures safe births. As a …
A Novel Coil-Based Overhauser Vector Magnetometer for the Automatic Measurement of Absolute Geomagnetic Total Field and Directions
The absolute measurement of geomagnetic parameters can be applied directly not only in
magnetic navigation and target detection but also in the correction of relative measurement …
magnetic navigation and target detection but also in the correction of relative measurement …
Pioneering Cooperative Air-Ground Instant Delivery Using UAVs and Crowdsourced Couriers
Instant delivery, which has a strict time limit, has become a fundamental service in modern
cities. Increasing demands and labor shortages make efficient instant delivery more …
cities. Increasing demands and labor shortages make efficient instant delivery more …
An aeromagnetic compensation algorithm based on a deep autoencoder
P Yu, X Zhao, J Jiao - IEEE Geoscience and Remote Sensing …, 2020 - ieeexplore.ieee.org
Magnetic compensation is a necessary step in the aeromagnetic data processing. While the
aeromagnetic compensation model is a linear regression model, the multicollinearity of the …
aeromagnetic compensation model is a linear regression model, the multicollinearity of the …
An Improved Magnetic Compensation Algorithm for Swing Noise
R Guo, C Zhao, Z Liu, Y Zhao - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Magnetic compensation is an important means to suppress interference and improve signal-
to-noise ratio in magnetic signal measurement. In the process of geomagnetic signal …
to-noise ratio in magnetic signal measurement. In the process of geomagnetic signal …
A Modified Aeromagnetic Compensation Method Robust to the Motion State of Aviation Platform Part
C Zhang, C Du, X Peng, H Guo - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Aeromagnetic compensation is a signal-processing method to suppress the magnetic
interference from the airborne platform that far exceeds the target magnetic signal. With the …
interference from the airborne platform that far exceeds the target magnetic signal. With the …
Intelligent suppression of non-maneuvering magnetic interference of aeromagnetic UAV
In the aeromagnetic survey based on a fixed-wing unmanned aerial vehicle (UAV), the non-
maneuvering magnetic interference generated by the magnetic components can …
maneuvering magnetic interference generated by the magnetic components can …
Attitude-independent magnetometer calibration based on adaptive filtering
W Zeng, Q Bian, J Gao, L Chang… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In order to calibrate the tri-axis magnetometer errors, an attitude-independent calibration
method based on adaptive filtering is proposed. This method can estimate all the error …
method based on adaptive filtering is proposed. This method can estimate all the error …