Results 1 to 10 of about 251,398 (165)

EEG–ShuffleFormer: A Multi-View Hybrid Network Integrating Time–Frequency and Raw Signal Representations for Few-Channel Motor Imagery EEG Classification [PDF]

Bioengineering
Electroencephalogram (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
doaj   +2 more sources

Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM [PDF]

Sensors
The detection of forced oscillations, especially distinguishing them from natural oscillations, has emerged as a major concern in power system stability monitoring.
Xiaomei Yang, Jinfei Wang, Xingrui Huang, Yang Wang, Xianyong Xiao   +4 more
doaj   +2 more sources

SiamEFT: adaptive-time feature extraction hybrid network for RGBE multi-domain object tracking [PDF]

Frontiers in Neuroscience
Integrating 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, Gang Wang, Yong Song, Jinxiang Huang, Yiqian Huang, Ya Zhou, Shiqiang Wang   +6 more
doaj   +2 more sources

CSA-SA-CRTNN: A Dual-Stream Adaptive Convolutional Cyclic Hybrid Network Combining Attention Mechanisms for EEG Emotion Recognition [PDF]

Brain Sciences
In 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, Xin Xiong, Jianhua Zhou, Hongde Yu, Kaiwen Sha   +4 more
doaj   +2 more sources

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, Tobias Feldner, Edina Dilji, Andrey Belkin, Clemens Richert   +4 more
openaire   +3 more sources

A Semi-Supervised Speech Deception Detection Algorithm Combining Acoustic Statistical Features and Time-Frequency Two-Dimensional Features

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, Hang Yu, Xuemei Wang, Xiangying Lu, Chunhua Zhu   +4 more
doaj   +1 more source

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, Olgica Milenkovic, Angelia Nedic   +2 more
openaire   +2 more sources

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, Torsten Schaub, Sebastian Schellhorn, Anne Siegel, Philipp Wanko   +4 more
openaire   +4 more sources

D2C-Based Hybrid Network for Predicting Group Cohesion Scores

IEEE Access, 2021
Group cohesiveness represents the bonding between members in a group. Indeed, a group with high cohesiveness may easily reach success in their task. Therefore, the most critical element that affects the success of a group is group cohesiveness, which is ...
Dang Xuan Tien, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim   +3 more
doaj   +1 more source

Support for hybrid network in RPL [PDF]

2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016
The Smart Grid is based on Advanced Metering Infrastructure that mostly relies on Narrow Band Power Line Communication (PLC). In such network, using a single communication interface does not fulfill the primary requirement of 99.99% reading rates and coverage.
Lemercier, François, Montavont, Nicolas, Toutain, Laurent, Vijayasankar, Kumaran, Vedantham, Ramanuja, Chiummiento, Philippe   +5 more
openaire   +2 more sources