Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · May 202019922001200920172026
1 result for “MI-BMIs”
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaceseess.SP

EEG-TCNet improves MI-BMIs with high accuracy and low resource usage.

problem Improving motor-imagery brain-machine interfaces with high accuracy and low resource usage.
method Proposes EEG-TCNet, a novel TCN for embedded MI-BMIs.
result EEG-TCNet achieves 83.84% classification accuracy on MOABB, outperforming SoA by 0.25.
EEG-TCNetMI-BMIsTemporal Convolutional NetworkEmbedded Brain-Computer InterfaceHigh Accuracy
2020-05-31abs ↗pdf ↗