Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Internal feature selection method of CSP based on L1-norm and Dempster–Shafer theory
J **, R ** paralyzed people communicate with the external …
Brain wave classification using long short-term memory network based OPTICAL predictor
Brain-computer interface (BCI) systems having the ability to classify brain waves with greater
accuracy are highly desirable. To this end, a number of techniques have been proposed …
accuracy are highly desirable. To this end, a number of techniques have been proposed …
BCI‐Based Rehabilitation on the Stroke in Sequela Stage
Background. Stroke is the leading cause of serious and long‐term disability worldwide.
Survivors may recover some motor functions after rehabilitation therapy. However, many …
Survivors may recover some motor functions after rehabilitation therapy. However, many …
Motor imagery EEG classification based on ensemble support vector learning
Abstract Background and Objective: Brain-computer interfaces build a communication
pathway from the human brain to a computer. Motor imagery-based electroencephalogram …
pathway from the human brain to a computer. Motor imagery-based electroencephalogram …
Selective multi–view time–frequency decomposed spatial feature matrix for motor imagery EEG classification
T Luo - Expert Systems with Applications, 2024 - Elsevier
Decoding brain activity from non-invasive motor imagery electroencephalograph (MI-EEG)
has garnered significant attentions for brain-computer interface (BCI) and brain disorders …
has garnered significant attentions for brain-computer interface (BCI) and brain disorders …
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing
Background and objective Multimodal data analysis and large-scale computational
capability is entering medicine in an accelerative fashion and has begun to influence …
capability is entering medicine in an accelerative fashion and has begun to influence …
Global research on artificial intelligence-enhanced human electroencephalogram analysis
The application of artificial intelligence (AI) technologies in assisting human
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …