Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

To address this limitation, we developed an automatic sECD algorithm (AsECDa) for language mapping ... method (Taulu and Simola, 2006) with a 10 s sliding window and a correlation threshold of 0.98.

However, some of these benefits are the very same reasons that sliding glass doors can be a bit of a pain. For example, they do not offer much privacy, and they are often not very energy efficient ...

In order to improve the accuracy of snoring detection, a sliding window algorithm based on data density and amplitude is introduced, effectively filtering out low-amplitude noise and accurately ...

Here, 60 floor-to-ceiling air-lux sliding windows have been installed – with impressive dimensions of up to 5400 x 3085 mm. Thanks to the innovative, air-assisted sealing system, they withstand ...

Traditionally, IPL consists in estimating consistent phase differences between all pairs of SAR images in a time series from the sample covariance matrix (SCM) of pixel patches on a sliding window ...

This paper presents a simple two-stage CPE algorithm for polarization-multiplexed (PM) 32-quadrature amplitude modulation (32-QAM) coherent optical communication systems. The algorithm uses an ...