Results 31 to 40 of about 634 (170)
The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model
IEEE Transactions on Neural Systems and Rehabilitation EngineeringIn recent years, the steady-state visual evoked potentials (SSVEP) based brain control method has been employed to help people with disabilities because of its advantages of high information transmission rate and low training time.
Rui Li +8 more
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 +3 more
doaj +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Data Dissemination Framework Using Low-Rank Approximation in Edge Networks
IEEE AccessThis paper proposes a reliable data dissemination framework for edge networks, leveraging network coding combined with low-rank approximation. We consider an edge network that consists of a server and power-limited mobile devices, where the data is ...
Jungmin Kwon, Hyunggon Park
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
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
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Anomaly Detection in Gas Turbine Fuel Systems Using a Sequential Symbolic Method
Energies, 2017 Anomaly detection plays a significant role in helping gas turbines run reliably and economically. Considering the collective anomalous data and both sensitivity and robustness of the anomaly detection model, a sequential symbolic anomaly detection method
Fei Li +5 more
doaj +1 more source
Advanced Materials, EarlyView.Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source