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Quickly decode Windows error codes with these tools

ThioJoe shows tools to quickly decode Windows error codes and understand what they mean. Rupert Murdoch warns judge of Donald Trump’s ‘red herring’ Surveillance ...
EurekAlert!

Acoustic inspired brain-to-sentence decoder for logosyllabic language

(A) After the electrodes were implanted, participants took part in the study in the wheelchair, reading sentences given visual cues. Audio data were collected using a directional microphone, and ...
IEEE

Research on An-Based Decode of Tail-Biting Convolutional Codes and Their Performance Analyses Used in LTE System

Abstract: Tail-biting convolutional codes has been used in physical broadcast channel and physical downlink control channel of LTE, this paper introduces the architecture of the convolutional encoder ...
Psychology Today

AI Copilot Boosts Brain-Computer Interface’s Performance

An important milestone for brain-computer interfaces has been achieved. A new peer-reviewed neuroscience study led by researchers at the University of California, Los Angeles (UCLA) demonstrates a ...
Frontiers

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
IEEE

On the Tail-Biting Convolutional Code Decoder for the LTE and LTE-A standards'

Abstract: In this paper, we consider the design of the Tail-Biting Convolutional Code Decoder (TB-CCD) for the Long Term Evolution (LTE) system. Tail-biting convolutional coding is used for channel ...
Frontiers

DTCNet: finger flexion decoding with three-dimensional ECoG data

School of Big Data, Zhuhai College of Science and Technology, Zhuhai, China ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal ...
GitHub

High Resolution Canopy Height Maps

PyTorch implementation and pretrained models for High resolution Canopy Height Prediction inference. For details, see the paper: Very high resolution canopy height maps from RGB imagery using ...