GSPN recommends setting up a conda environment and installing dependencies via pip. Use the following commands to set up your environment: GSPN is a general-purpose parallel sequence modeling ...
The room we are in is locked. It is windowless and lit from above by a fluorescent bulb. In the hallway outside—two stories beneath the city of London—attendants in dark suits patrol silently, giving ...
ABSTRACT: Multiple approaches have been used to estimate groundwater recharge in the Upper Awash river basin. The amount of recharge reaching the Upper Awash aquifer system from the Blue Nile ...
Abstract: Polarization-adjusted convolutional (PAC) codes are a recently proposed novel coding scheme that introduces a rate-one convolutional pre-transform before the polar transform, offering ...
Abstract: Maximum distance separable (MDS) codes that are not monomially equivalent to generalized Reed-Solomon (GRS) codes are called non-GRS MDS codes, which have important applications in ...
The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback