Results 1 to 10 of about 270,776 (165)
EEG–ShuffleFormer: A Multi-View Hybrid Network Integrating Time–Frequency and Raw Signal Representations for Few-Channel Motor Imagery EEG Classification [PDF]
BioengineeringElectroencephalogram (EEG) signals hold significant research value in brain function decoding, disease diagnosis, and brain–computer interfaces (BCIs). Few-channel EEG recording devices feature superior portability, simple operation, and facilitated real-
Kang Fan, Qin Gu, Yaduan Ruan
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Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM [PDF]
SensorsThe detection of forced oscillations, especially distinguishing them from natural oscillations, has emerged as a major concern in power system stability monitoring.
Xiaomei Yang +4 more
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SiamEFT: adaptive-time feature extraction hybrid network for RGBE multi-domain object tracking [PDF]
Frontiers in NeuroscienceIntegrating RGB and Event (RGBE) multi-domain information obtained by high-dynamic-range and temporal-resolution event cameras has been considered an effective scheme for robust object tracking. However, existing RGBE tracking methods have overlooked the
Shuqi Liu +6 more
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CSA-SA-CRTNN: A Dual-Stream Adaptive Convolutional Cyclic Hybrid Network Combining Attention Mechanisms for EEG Emotion Recognition [PDF]
Brain SciencesIn recent years, EEG-based emotion recognition technology has made progress, but there are still problems of low model efficiency and loss of emotional information, and there is still room for improvement in recognition accuracy.
Ren Qian +4 more
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Hybridization Networks of mRNA and Branched RNA Hybrids [PDF]
ChemBioChem, 2020 AbstractMessenger RNA (mRNA) is emerging as an attractive biopolymer for therapy and vaccination. To become suitable for vaccination, mRNA is usually converted to a biomaterial, using cationic peptides, polymers or lipids. An alternative form of converting mRNA into a material is demonstrated that uses branched oligoribonucleotide hybrids with the ...
Vassiliki Damakoudi +4 more
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Brain Sciences, 2023 Human lying is influenced by cognitive neural mechanisms in the brain, and conducting research on lie detection in speech can help to reveal the cognitive mechanisms of the human brain.
Hongliang Fu +4 more
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Hybrid noncoherent network coding [PDF]
2012 International Symposium on Network Coding (NetCod), 2012 We describe a novel extension of subspace codes for noncoherent networks, suitable for use when the network is viewed as a communication system that introduces both dimension and symbol errors. We show that when symbol erasures occur in a significantly large number of different basis vectors transmitted through the network and when the min-cut of the ...
Vitaly Skachek +2 more
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Hybrid Metabolic Network Completion [PDF]
Theory and Practice of Logic Programming, 2017 AbstractMetabolic networks play a crucial role in biology since they capture all chemical reactions in an organism. While there are networks of high quality for many model organisms, networks for less studied organisms are often of poor quality and suffer from incompleteness.
Clémence Frioux +4 more
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Most-Correlated Distribution-Based Load Balancing Scheme in Hybrid LiFi/WiGig Network
IEEE Access, 2023 Recently, a hybrid network that combines radio frequency Wireless Gigabit Alliance (WiGig) networks with light fidelity (LiFi) networks has been proposed as the foundation for a high-speed wireless communication solution. A LiFi access point provides the
Mohammed Farrag, Hany S. Hussein
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Molecules, 2022 PLA nanofibers are of great interest in tissue engineering due to their biocompatibility and morphology; moreover, their physical properties can be tailored for long-lasting applications.
Karima Belabbes +4 more
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