Results 21 to 30 of about 151,868 (248)
Fault-tolerant quantum computation against biased noise [PDF]
, 2008 We formulate a scheme for fault-tolerant quantum computation that works effectively against highly biased noise, where dephasing is far stronger than all other types of noise.
Aliferis, Panos, Preskill, John
core +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 +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 +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 +3 more
doaj +1 more source
Cognitive computing method based on decoding psychological emotional states
International Journal of Cognitive Computing in EngineeringThe current artificial intelligence is constrained to passively executing human command control. It cannot perceive, learn, and guide itself. Furthermore, the majority of these systems are unable to comprehend the human psychological cognitive state or ...
Baihui Huangfu, Wenjuan Cheng
doaj +1 more source
Robust detection of event-related potentials in a user-voluntary short-term imagery task.
PLoS ONE, 2019 Event-related potentials (ERPs) represent neuronal activity in the brain elicited by external visual or auditory stimulation and are widely used in brain-computer interface (BCI) systems.
Min-Ho Lee +4 more
doaj +1 more source
Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review
Sensors, 2020 The algorithms of electroencephalography (EEG) decoding are mainly based on machine learning in current research. One of the main assumptions of machine learning is that training and test data belong to the same feature space and are subject to the same ...
Kai Zhang +6 more
doaj +1 more source
Brain-Apparatus Communication, 2023 The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms.
Wenwei Luo +3 more
doaj +1 more source
Polyglot Semantic Parsing in APIs
, 2018 Traditional approaches to semantic parsing (SP) work by training individual models for each available parallel dataset of text-meaning pairs. In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing models that ...
Berant, Jonathan +2 more
core +1 more source
Molecular Oncology, EarlyView.This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker +16 more
wiley +1 more source