Intrusion detection for cybersecurity of smart meters
The integration of Information and Communications Technology (ICT) enables real-time
communication for smart meters to participate in power system operations. However …
communication for smart meters to participate in power system operations. However …
Visual P300 mind-speller brain-computer interfaces: a walk through the recent developments with special focus on classification algorithms
Brain-computer interfaces are sophisticated signal processing systems, which directly
operate on neuronal signals to identify specific human intents. These systems can be …
operate on neuronal signals to identify specific human intents. These systems can be …
A subject-transfer framework for obviating inter-and intra-subject variability in EEG-based drowsiness detection
Inter-and intra-subject variability pose a major challenge to decoding human brain activity in
brain-computer interfaces (BCIs) based on non-invasive electroencephalogram (EEG) …
brain-computer interfaces (BCIs) based on non-invasive electroencephalogram (EEG) …
A Systematic Review of Computational Intelligence Techniques for Channel Selection in P300-Based Brain Computer Interface Speller
V Bhandari, ND Londhe… - Artificial Intelligence and …, 2024 - ojs.bonviewpress.com
Electroencephalography (EEG)-based P300 speller aids in restoring the communication and
control capabilities in patients suffering from motor disabilities. However, the quality and …
control capabilities in patients suffering from motor disabilities. However, the quality and …
Improving performance of Devanagari script input-based P300 speller using deep learning
GB Kshirsagar, ND Londhe - IEEE Transactions on Biomedical …, 2018 - ieeexplore.ieee.org
The performance of an existing Devanagari script (DS) input-based P300 speller with
conventional machine learning techniques suffers from low information transfer rate (ITR) …
conventional machine learning techniques suffers from low information transfer rate (ITR) …
EEG-based semantic vigilance level classification using directed connectivity patterns and graph theory analysis
This paper proposes two novel methods to classify semantic vigilance levels by utilizing
EEG directed connectivity patterns with their corresponding graphical network measures …
EEG directed connectivity patterns with their corresponding graphical network measures …
3D input convolutional neural networks for P300 signal detection
Z Oralhan - IEEE Access, 2020 - ieeexplore.ieee.org
P300 signal is an endogenous event related potential component. It is mostly elicited from
the frontal to parietal brain lobes. Electroencephalography is used for acquiring P300 signal …
the frontal to parietal brain lobes. Electroencephalography is used for acquiring P300 signal …
Recent advances of P300 speller paradigms and algorithms
T Fang, Z Song, L Niu, S Le, Y Zhang… - … Conference on Brain …, 2021 - ieeexplore.ieee.org
The P300 speller is the most common application that uses brain-computer interface (BCI)
for object control. At present, many researches use the P300 for the application of text input …
for object control. At present, many researches use the P300 for the application of text input …
Training-free steady-state visual evoked potential brain–computer interface based on filter bank canonical correlation analysis and spatiotemporal beamforming …
A brain-computer interface (BCI) provides a novel non-muscular communication pathway for
individuals with severe neuromuscular diseases. BCI systems based on steady-state visual …
individuals with severe neuromuscular diseases. BCI systems based on steady-state visual …
Cyber attack and defense for smart inverters in a distribution system
The fast-growing installation of solar PVs has a significant impact on the operation of
distribution systems. Grid-tied solar inverters provide reactive power capability to support the …
distribution systems. Grid-tied solar inverters provide reactive power capability to support the …