Data-driven distance metrics for kriging-short-term urban traffic state prediction
Estimating traffic flow states at unmeasured urban locations provides a cost-efficient solution
for many ITS applications. In this work, a geostatistical framework, kriging is extended in …
for many ITS applications. In this work, a geostatistical framework, kriging is extended in …
A Novel Machine Learning Solution for the Inverse Heat Conduction Problem with Synthetic Datasets
There are many attempts to solve the Inverse Heat Conduction Problem, and nowadays a
growing number of machine learning-based methods have emerged. One major drawback …
growing number of machine learning-based methods have emerged. One major drawback …
Low-Cost Spatio-Temporal Algorithm for Defective Pixel Identification and Correction
GS Becker - 2022 IEEE 20th Jubilee International Symposium …, 2022 - ieeexplore.ieee.org
A novel method and hardware architecture is proposed for identifying and correcting
defective pixels in CCD or CMOS image sensors. Pixel defects may arise during …
defective pixels in CCD or CMOS image sensors. Pixel defects may arise during …