Results 21 to 30 of about 153,200 (241)

High-Performance Cross-Subject Decoding of Multiclass Rhythmic Motor Imagery Using EEG Data From 100 Subjects

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Objective: Effective cross-subject decoding is essential for reducing calibration time and enhancing the practical usability of brain-computer interfaces (BCIs).
Yuxuan Wei, Ximing Mai, Yang Li, Ruijie Luo, Ruijia Cheng, Jianjun Meng   +5 more
doaj   +1 more source

AMR Dependency Parsing with a Typed Semantic Algebra

, 2018
We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph.
Fowlie, Meaghan, Groschwitz, Jonas, Johnson, Mark, Koller, Alexander, Lindemann, Matthias   +4 more
core   +1 more source

FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Motor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy, real-time ...
Sixiong Ke, Banghua Yang, Yiyang Qin, Fenqi Rong, Jiayang Zhang, Yanyan Zheng   +5 more
doaj   +1 more source

Multi-Scale Convolutional Network for Space-Based ADS-B Signal Separation with Single Antenna

Applied Sciences, 2022
Automatic Dependent Surveillance-Broadcast (ADS-B) signals are very vital in air traffic control. However, the space-based ADS-B signals are easily overlapped and their message cannot be correctly received.
Yan Bi, Chuankun Li
doaj   +1 more source

Differentiation of Types of Visual Agnosia Using EEG

Vision, 2018
Visual recognition deficits are the hallmark symptom of visual agnosia, a neuropsychological disorder typically associated with damage to the visual system.
Sarah M. Haigh, Amanda K. Robinson, Pulkit Grover, Marlene Behrmann   +3 more
doaj   +1 more source

Dynamics of uS19 C-Terminal Tail during the Translation Elongation Cycle in Human Ribosomes

Cell Reports, 2020
Summary: Ribosomes undergo multiple conformational transitions during translation elongation. Here, we report the high-resolution cryoelectron microscopy (cryo-EM) structure of the human 80S ribosome in the post-decoding pre-translocation state ...
Varun Bhaskar, Alexandra Graff-Meyer, Andreas D. Schenk, Simone Cavadini, Ottilie von Loeffelholz, S. Kundhavai Natchiar, Caroline G. Artus-Revel, Hans-Rudolf Hotz, Gabriel Bretones, Bruno P. Klaholz, Jeffrey A. Chao   +10 more
doaj   +1 more source

ViTSTR-Transducer: Cross-Attention-Free Vision Transformer Transducer for Scene Text Recognition

Journal of Imaging, 2023
Attention-based encoder–decoder scene text recognition (STR) architectures have been proven effective in recognizing text in the real world, thanks to their ability to learn an internal language model.
Rina Buoy, Masakazu Iwamura, Sovila Srun, Koichi Kise   +3 more
doaj   +1 more source

Deep Transfer Learning for Error Decoding from Non-Invasive EEG

, 2018
We recorded high-density EEG in a flanker task experiment (31 subjects) and an online BCI control paradigm (4 subjects). On these datasets, we evaluated the use of transfer learning for error decoding with deep convolutional neural networks (deep ...
Ball, Tonio, Burgard, Wolfram, Fiederer, Lukas D. J., Schirrmeister, Robin T., Völker, Martin   +4 more
core   +1 more source

Molecular cancer prevention: Intercepting disease

Molecular Oncology, EarlyView.
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco, Tej Pandya, Charles Swanton   +2 more
wiley   +1 more source

Tensor-Network Decoding Beyond 2D

PRX Quantum
Decoding algorithms based on approximate tensor-network (TN) contraction have proven tremendously successful in decoding two-dimensional (2D) local quantum codes such as toric or surface codes and color codes, effectively achieving optimal decoding ...
Christophe Piveteau, Christopher T. Chubb, Joseph M. Renes   +2 more
doaj   +1 more source