The Information Security researchers at University College London (UCL) analyzed an archive of 12.16 million GPS observations ...

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

Abstract: A reduced complexity sequential decoding algorithm for polar (sub) codes is described. The proposed approach relies on a decomposition of the polar (sub) code being decoded into a number of ...

Abstract: In this letter, we propose a new decoding algorithm to improve the bit error rate performance of the hard-input hard-output (HIHO) turbo product codes (TPC ...

In recent years, motor imagery-based brain–computer interfaces (MI-BCIs) have developed rapidly due to their great potential in neurological rehabilitation. However, the controllable instruction set ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Pulse-like signals are ubiquitous in the field of single molecule analysis, e.g., ...

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...

Sequence models are designed to handle data that is dependent on previous or subsequent items. Examples of sequential data include text streams, audio clips, and time-series data. Recurrent Neural ...

It's that time again. Facebook is changing its News Feed algorithm, and online publishers and ad companies are trying to figure out who's in the crosshairs this time around. In what Facebook described ...