A research paper by scientists from Pohang University of Science and Technology developed a groundbreaking silent speech ...

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

To improve the classification accuracy of motor imagery EEG signals, In this research I propose the CLT model, which combines three architectures sequentially: Convolutional Neural Network (CNN), Long ...

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...

Abstract: Electroencephalography (EEG)-based brain computer interfaces (BCIs) transform spontaneous/evoked neural activity into control commands for external communication. While convolutional neural ...

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

Abstract: Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular ...