Corn is one of the world's most important crops, critical for food, feed, and industrial applications. In 2023, corn ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

(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 ...

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 ...

MoGe is a powerful model for recovering 3D geometry from monocular open-domain images. The model consists of a ViT encoder and a convolutional decoder. It directly predicts an affine-invariant point ...

Electroencephalogram-based brain-computer interfaces (BCIs) hold promise for healthcare applications but are hindered by cross-subject variability and limited data. This article proposes a multi-task ...

Neuroprosthetic devices have significantly advanced brain-computer interfaces (BCIs), enabling communication for individuals with speech or motor impairments due to conditions like anarthria, ALS, or ...

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...

An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...