Cluster-based routing protocols for flying ad hoc networks (FANETs)
OT Abdulhae, JS Mandeep, M Islam - IEEE access, 2022 - ieeexplore.ieee.org
Flying Ad-Hoc Network (FANET) is a set of Unmanned Aerial Vehicles (UAVs) inter-
connected wirelessly. FANETs self-organize and provide low-cost, adaptable, and simple-to …
connected wirelessly. FANETs self-organize and provide low-cost, adaptable, and simple-to …
Deep EEG super-resolution: Upsampling EEG spatial resolution with generative adversarial networks
Electroencephalography (EEG) activity contains a wealth of information about what is
happening within the human brain. Recording more of this data has the potential to unlock …
happening within the human brain. Recording more of this data has the potential to unlock …
Asynchronous non-invasive high-speed BCI speller with robust non-control state detection
Abstract Brain-Computer Interfaces (BCIs) enable users to control a computer by using pure
brain activity. Recent BCIs based on visual evoked potentials (VEPs) have shown to be …
brain activity. Recent BCIs based on visual evoked potentials (VEPs) have shown to be …
[HTML][HTML] A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients
P Ma, C Dong, R Lin, S Ma, T Jia, X Chen… - Journal of Neuroscience …, 2022 - Elsevier
Background In the study of brain-computer interfaces (BCIs) based on steady-state visual
evoked potentials (SSVEPs), how to improve the classification accuracies of BCIs has …
evoked potentials (SSVEPs), how to improve the classification accuracies of BCIs has …
A L1 normalization enhanced dynamic window method for SSVEP-based BCIs
Background Filter bank canonical correlation analysis (FBCCA) has been widely applied to
detect the frequency components of steady-state visual evoked potential (SSVEP). FBCCA …
detect the frequency components of steady-state visual evoked potential (SSVEP). FBCCA …
Quadcopter control system using a hybrid BCI based on off-line optimization and enhanced human-machine interaction
N Yan, C Wang, Y Tao, J Li, K Zhang, T Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Quadcopter is an important way for the human to explore the physical world. The brain-
computer interface (BCI) technology is used to control the quadcopter flight in order to help …
computer interface (BCI) technology is used to control the quadcopter flight in order to help …
A Complementary Dual‐Mode Ion‐Electron Conductive Hydrogel Enables Sustained Conductivity for Prolonged Electroencephalogram Recording
Conductive gel interface materials are widely employed as reliable agents for
electroencephalogram (EEG) recording. However, prolonged EEG recording poses …
electroencephalogram (EEG) recording. However, prolonged EEG recording poses …
RMKD: Relaxed Matching Knowledge Distillation for Short-Length SSVEP-Based Brain-Computer Interfaces
Accurate decoding of electroencephalogram (EEG) signals in the shortest possible time is
essential for the realisation of a high-performance brain-computer interface (BCI) system …
essential for the realisation of a high-performance brain-computer interface (BCI) system …
[HTML][HTML] Improving the performance of SSVEP-BCI contaminated by physiological noise via adversarial training
Brain-computer interface (BCI) based on Steady-State Visual Evoked Potentials (SSVEP)
provides an effective method for human-computer communication. In practical application …
provides an effective method for human-computer communication. In practical application …
Towards a home-use BCI: fast asynchronous control and robust non-control state detection
S Nagel - 2019 - ub01.uni-tuebingen.de
Brain-Computer Interfaces (BCIs) enable users to control a computer by using pure brain
activity. Their main purpose is to restore several functionalities of motor disabled people, for …
activity. Their main purpose is to restore several functionalities of motor disabled people, for …