This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

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 ...

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 ...

Pneumothorax, a life-threatening condition characterized by air accumulation in the pleural cavity, requires early and accurate detection for optimal patient outcomes. Chest X-ray radiographs are a ...

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 ...

In a recent study published in Nature, researchers introduced a cutting-edge neural network, AlphaQubit, to decode the surface code—one of the most promising ...

ABSTRACT: With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to ...