Results 21 to 30 of about 634 (170)
Contrastive representation learning with transformers for robust auditory EEG decoding
Scientific ReportsDecoding of continuous speech from electroencephalography (EEG) presents a promising avenue for understanding neural mechanisms of auditory processing and developing applications in hearing diagnostics.
Lies Bollens +3 more
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HSST-EEG: A Hybrid State-Space and Transformer Architecture for EEG Decoding
IEEE AccessAccurate interpretation of electroencephalography (EEG) signals requires effective modeling of high-dimensional, non-stationary, and long-range spatio-temporal dynamics, which remains a central challenge in both clinical and BCI-oriented decoding tasks ...
Emil Kim, Jin Kyu Gahm
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Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Multi-Domain Collaborative Decoding of SSVEP with Adaptive Visual Distraction Compensation [PDF]
Jisuanji gongchengBrain-Computer Interface (BCI) systems based on Steady-State Visual Evoked Potential (SSVEP) show classification performance limitations due to individual differences and interference from non-target stimuli.
JIA Shuting, WEN Xin, HAO Yanrong, CAO Rui
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Design of resolver software decoding system based on third-order angle observer
Dianzi Jishu YingyongThe electric drive system of new energy vehicles usually uses a resolver to obtain the position of the motor rotor, but its circuit is complex and the chips are expensive, resulting in high costs. The traditional second-order phase-locked loop has steady-
Song Jianguo, Li Xiaobo, Xu Zike
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Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Decoding Motor States from Phase–Amplitude Coupling Measured by OPM-MEG
BiosensorsOptically Pumped Magnetometers (OPMs) have emerged as a promising technology for developing flexible, wearable magnetoencephalography (OPM-MEG) systems, offering high spatiotemporal resolution without the need for cryogenic cooling.
Yong Li +5 more
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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
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Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source